SlideShare uma empresa Scribd logo
1 de 32
Baixar para ler offline
INFORMATION OVERLOAD

Summary
The customer sought information was articles, reports, studies on the ―Information overload
phenomena‖. The researcher has categorized information as Information overload, data traffic and
information consumption.


Comprehensive research was conducted as per customer requirements through separate searches. To
view details of the methodology undertaken and challenges encountered within the process of this
research: please click


The summary of the findings are as follows:
 Section 1 - Information Overload

     In 2010, 1.2 zettabytes of digital information will be created, according to a new "Digital Universe"
      study from IDC sponsored by IT firm EMC Corporation.

     International Data Corp. reports that the digital universe will hit 1.8 zettabytes (a zettabyte is 1 billion
      terabytes) by 2011.

     Information Overload would be the 2008 ―Problem-of-the-Year.‖
     Overload costs the U.S. economy a minimum of $900 billion per year, it appears that it will be 2009’s
      problem as well.
     Workers spend up to 50 percent of their day managing information.
 Section 2 - Information Clutter
     Knowledge workers spend their days, according to Basex:
      -   28%-Unnecessary interruptions followed by "recovery time" to get back on track
      -   25%-Creating content-productive!
      -   20%-Meetings-some productive, some not
      -   15%-Searching for information (and an estimated 50% of searches fail)
      -   12%-Thinking and reflecting
     Reducing the time wasted dealing with information overload by 15% could save a company with
      500 employees more than $2 million a year. Cutting the wasted time by just 15% through
      automation would save U.S. enterprises more than $270 billion.
     62 percent of professionals report that they spend a lot of time sifting through irrelevant
      information to find what they need; 68 percent wish they could spend less time organizing
      information and more time using the information that comes their way.
     In an 8.89-hour average workday, employees said they spent 7.89 hours conducting research,
      attending meetings and searching for documents, the survey found.
Information Overload                          Reported on: 25-03-2010                             athandz


Contd. Summary


 Section 2 - Information Clutter Contd
     Conservative estimates by IDC suggest that an organisation with 1,000 employees wastes at least $2.5
      million per year by failing to find existing information, searching for outdated information, or
      recreating information that is outdated and poorly designed.
     Highlights of the average number of hours spent globally per week by knowledge workers on the four
      main business activities include: 9.00 hours a week is spent on preparing, running and
      summarising actions for meetings while 6.78 hours are spent managing and consolidating
      information such as documents, emails and web research.
     UK comes last in information management, spending 7.08 hours per week, with France spending
      6.69 and Germany 5.91 hours.
 Section 3 - How Information Overload Affects Employers
     Harvard Business Review found that the average worker today spends 40% of the work day merely
      processing information. This translates into only 60% of the average work day being spent on true
      value creation activities. 40% of the payroll costs are spent handling the overload. The more time
      spent on processing information and not creating value, the less a company earns.
     Employees lose 28% in distraction which is their time at full pay that they aren't producing any value
      for the employer.
  Manager’s report spending an average of 42% of their time on administrative tasks.
  The administrative overload is greatest in Spain and the United Kingdom.
  The analysis also found that for every 1 point reduction in the amount of supervisors’ available time,
     worker unproductive time falls by 0.1 percentage points.
 Section 4 – Data Traffic
     The rapid growth of data consumption is real, has been observed by many operators.
     Growing problem of mobile data consumption vs. revenue: perhaps 100X growth of aggregate data vs.
      2X growth of revenue (in the next 5 years)
     App Store, has defined a model of data services on demand that is widely appealing, with 500 M
      downloads in less than a year of operation, establishing that there is a large market for data services.




                                                                                                          2
Information Overload                               Reported on: 25-03-2010                         athandz


Contd. Summary


    Section 5 - Information Consumption
    5.1 U.S Information Consumption
        Roughly 3.6 zettabytes (or 3,600 exabytes) of information were consumed in American homes in 2008.
        The big winner is still television at almost 45 percent of our daily allowance, but the computer is a not-
         too-distant second at about 27 percent.
        In all, we spend about 11.8 hours per day absorbing mass quantities of information, sometimes
         multitasking in front of multiple screens simultaneously.
    5.2 Metadata
        In 2008, non-textual media storage requirements (audio, music, images, and video) were an estimated
         16 exabytes. (An exabyte is a billion Gbytes.)
        Subscription-based and download media sales totaled $3.3 billion in 2008
    5.3 Data Superabundance
        Enterprise Data Growth in the next 5 years is estimated to be 650%
        80% of this data will be unstructured data
        40 exabytes* of unstructured new information will be generated worldwide in 2009
        IDC estimated the amount of data stored worldwide in 2007 was nearly 300 exabytes, and that this
         number will grow ten-fold by 2011.


Methodologies and Challenges

       Search was directed towards details about Information Overload.
       The researcher has provided a global outlook of information overload from the productivity
        perspective. However, most of the studies conducted mainly concentrated on USA.
       The researchers have extracted information from several sources. This was quite time consuming
        as an extensive reading of articles were required.
       The researcher spent maximum time utilized for the query.




                                                                                                           3
Information Overload                                             Reported on: 25-03-2010                                                  athandz


                                               TABLE OF CONTENTS
SUMMARY............................................................................................................................................. 1

SECTION 1 – INFORMATION OVERLOAD .................................................................................... 5

SECTION 2 – INFORMATION CLUTTER ..................................................................................... 10

SECTION 3 – HOW INFORMATION OVERLOAD AFFECTS EMPLOYERS ......................... 22

SECTION 4 - DATA TRAFFIC .......................................................................................................... 24

SECTION 5 - INFORMATION CONSUMPTION ........................................................................... 27

    5.1 U.S INFORMATION CONSUMPTION ................................................................................................ 27
    5.2 METADATA ................................................................................................................................... 29
    5.3 DATA SUPERABUNDANCE ............................................................................................................. 30

FEEDBACK .......................................................................................................................................... 32

WANT TO KNOW MORE DETAILS ABOUT OUR RESEARCH SERVICES? ........................ 32




                                                                                                                                                     4
Information Overload                         Reported on: 25-03-2010                             athandz



Section 1 – Information Overload
Article 1 -   Zettabytes Now Needed to Describe Global Data Overload

 Key Facts
                    Humankind will generate over one sextillion bytes of digital information this year,
                     surging into the realm of the "zettabyte" as we create ever more electronic data.

                    In 2010, 1.2 zettabytes of digital information will be created, according to a
                     new "Digital Universe" study from IDC sponsored by IT firm EMC Corporation.

                    Even during the recession of 2009, the glut of digital information expanded 62
                     percent over the previous year to 800 billion gigabytes.
 Source Date     May 04,2010
 Source          http://www.technewsdaily.com/zettabytes-now-needed-to-describe-global-data-
                 overload-0513/


Article 2 -   Data Glut! The Answer Is Innovation

 Key Facts          Data is piling up fast at almost every business, from financial corporations to
                     online shopping sites. Security log files, network events, transaction records. e-
                     mail and more are flooding firms with information.
                    International Data Corp. reports that the digital universe will hit 1.8
                     zettabytes (a zettabyte is 1 billion terabytes) by 2011.
                    That’s a tenfold increase in the next five years. IDC says growth is running at an
                     annual rate of 60 percent. And the cost of data management is significant
                    At Teradata we’re committed to innovation that’s keeping companies a couple
                     of steps out in front of the data information glut.
                    Teradata 13, our latest data warehouse database, reveals our deep commitment to
                     engineering excellence that provides a powerful system to work with the wide
                     variety of data that are pounding enterprise IT data systems.
 Source Date     February 15, 2010
 Source          http://www.basexblog.com/2008/12/19/information-overload-now-900-billion-what-
                 is-your-organizations-exposure/




                                                                                                         5
Information Overload                         Reported on: 25-03-2010                           athandz


Contd. Section 1 – Information Overload


Article 3 -   Causes of Information Overload

 Key Facts       Information overload is one of the pressing issues of today’s increasingly fast-paced,
                 complex and communication-intensive business world. As we have seen from this
                 chapter, reducing information overload is also the responsibility of communicators and
                 not just of those receiving information.




 Source Date     March 2009
 Source          http://s3.amazonaws.com/ppt-download/informationoverload-090702133826-
                 phpapp02.pdf?Signature=gm5npY0NxXsaR0F%2BCykZW6jh3Vs%3D&Expires=127
                 3783849&AWSAccessKeyId=AKIAJLJT267DEGKZDHEQ


                                                                                                          6
Information Overload                         Reported on: 25-03-2010                        athandz


Contd. Section 1 – Information Overload


Article 4 -   Calculating Information Overload – Find out Your Organization’s Cost

 Key Facts          A year ago, Basex announced that Information Overload would be the 2008
                     “Problem-of-the-Year.”
                    Now that we know that Information Overload costs the U.S. economy a
                     minimum of $900 billion per year, it appears that it will be 2009’s problem
                     as well.
                    Information Overload causes:
                     -    Markedly lower productivity,
                     -    Diminished comprehension levels,
                     -    Compromised concentration levels,
                     -    Less innovation.
                    According to a recent   Basex survey, it also causes health problems: 35% of
                     knowledge workers experience work-related back and/or neck pain, carpal
                     tunnel syndrome, eye strain, headaches, or stress related symptoms.
 Source Date     January 13, 2009
 Source          http://www.iocalculator.com/
                 http://iorgforum.org/blog/2009/01/13/calculating-information-overload-find-out-your-
                 organizations-cost/




                                                                                                    7
Information Overload                         Reported on: 25-03-2010                           athandz


Contd. Section 1 – Information Overload


Article 5 -   Information Overload: Now $900 Billion

 Key Facts          Information overload describes an excess of information that results in the loss of
                     ability to make decisions, process information, and prioritize tasks.
                    It remains a key challenge for companies that operate in the knowledge economy
                     but it is nothing new. Indeed, it was very much on the minds of thought leaders of
                     an earlier information age centuries ago, including Roger Bacon, Samuel
                     Johnson, and Konrad Geßner whose 1545 Bibliotheca universalis warned of the
                     “confusing and harmful abundance of books” and promulgated reading strategies
                     for coping with the overload of information.
                    Workers spend up to 50 percent of their day managing information, according to
                     a recent survey conducted by Basex of more than 3,000 knowledge workers, and
                     streamlining these processes can have a significant impact on productivity. But
                     determining the extent of the problem is the first step.
                    Information Overload costs the U.S. economy a minimum of $900 billion per
                     year in lowered employee productivity and reduced innovation.
                    Despite its heft, this is a fairly conservative number and reflects the loss of 25%
                     of the knowledge worker’s day to the problem. The total could be as high as
                     $1 trillion.
 Source Date     December 19, 2008
 Source          http://www.basexblog.com/2008/12/19/information-overload-now-900-billion-what-
                 is-your-organizations-exposure/




                                                                                                      8
Information Overload                        Reported on: 25-03-2010                          athandz


Contd. Section 1 – Information Overload


Article 6 -   Six Communication Principles for Overload Environments

 Key Facts       We phrase these principles as paradoxes in order to motivate communicators to apply
                 those mechanisms carefully, e.g., balancing reduction and transformation based on
                 the specific communication context. Their sequence follows the goals of:
                 1. Getting attention.
                 2. Ensuring comprehension.
                 3. Fostering retention.




 Source Date     March 2009
 Source          http://s3.amazonaws.com/ppt-download/informationoverload-090702133826-
                 phpapp02.pdf?Signature=gm5npY0NxXsaR0F%2BCykZW6jh3Vs%3D&Expires=12
                 73783849&AWSAccessKeyId=AKIAJLJT267DEGKZDHEQ




                                                                                                     9
Information Overload                        Reported on: 25-03-2010                         athandz



Section 2 – Information Clutter
Article 1 -   Tackling Information Overload

Key Facts        The compelling statistic: Basex estimates, based on data it has gathered, that
                 information overload costs the U.S. economy a minimum of $900 billion a year in lost
                 productivity and reduced innovation.




                    Knowledge workers spend their days, according to Basex:
                     -   28%-Unnecessary interruptions followed by "recovery time" to get back
                         on track
                     -   25%-Creating content-productive!
                     -   20%-Meetings-some productive, some not
                     -   15%-Searching for information (and an estimated 50% of searches fail)
                     -   12%-Thinking and reflecting
                    Simple ways to save time and to manage information overload.
                     -   Breathe-Schedule breaks in your work routine.
                     -   Simplify your schedule-Schedule meetings on specific days, leaving others
                         free.
                     -   Back it up
                     -   Declutter your desktop (both of them).
                     -   Touch it once-and respond, file, or delete.
                     -    Forget the free stuff (choose quality over quantity).
                     -   Use your tools, such as your smartphone.
                     -   RSS reprieve-Sign up with an aggregator.
                     -   Manage mobile madness-Use a mobile device and deal with things as they
                         arise.
Source Date      May 04, 2009
Source           http://newsbreaks.infotoday.com/Spotlight/Tackling-Information-Overload-53712.asp



                                                                                                  10
Information Overload                         Reported on: 25-03-2010                        athandz


Contd. Section 2 – Information Clutter


Article 2 -   Growth of Enterprise Information

Key Facts           Each year the amount of information created in the enterprise, paper and digital
                     combined grows faster than 65%.
                    Non-productive information work, such as reformatting documents or
                     reentering documents into computers, consumed more than $1.5 trillion in
                     U.S. salaries last year.
                    Survey respondents spend as much as 26% of their time trying to manage
                     information overload.
                    Respondents split their time evenly between dealing with paper and digital
                     information, but 71% prefer to deal with digital information.
                    The amount of time U.S. information workers spent last year managing paper-
                     driven information overload cost $460 billion in salaries.
                    Respondents whose companies do a good job managing information overload rate
                     technology as a significant help.
                    Reducing the time wasted dealing with information overload by 15% could
                     save a company with 500 employees more than $2 million a year.




Source Date      March 2009
Source           http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O
                 verload.pdf




                                                                                                  11
Information Overload                        Reported on: 25-03-2010                   athandz


Contd. Section 2 – Information Clutter


Article 3 -   The Hidden Coast of Information Work

Key Facts           Cutting the wasted time by just 15% through automation would save U.S.
                     enterprises more than $270 billion.
                    For a company with 500 information employees, that amounts to more than $2
                     million a year.




Source Date      March 2009
Source           http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O
                 verload.pdf




                                                                                            12
Information Overload                       Reported on: 25-03-2010                       athandz


Contd. Section 2 – Information Clutter


Article 4 -   Benefits of Integrating Paper and Digital

Key Facts           If their interactions with paper were eliminated entirely, they could save 40
                     minutes a day on average.
                    Companies whose respondents most suffered from information overload could
                     gain an additional 48 minutes.




Source Date      March 2009
Source           http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O
                 verload.pdf




                                                                                               13
Information Overload                      Reported on: 25-03-2010                     athandz


Contd. Section 2 – Information Clutter


Article 5 -   Frequency of Information Overload

Key Facts           In a global survey IDC conducted in 2008, we found that 75% of workers in
                     more than 1,000 large organizations said they suffered from information
                     overload.
                    Of those, 45% said they were ―overwhelmed.‖




Source Date      March 2009
Source           http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O
                 verload.pdf




                                                                                           14
Information Overload                        Reported on: 25-03-2010                           athandz


Contd. Section 2 – Information Clutter


Article 6 -   Types of Information Causing Information Overload

Key Facts           The old information types never seem to go away – paper forms, documents,
                     drawings, data base output, emails, faxes, files and records, and phone messages.
                    Meanwhile, new forms have sprouted, from text and instant messages to blogs,
                     wikis, social networks, podcasts, digital images and sounds, and even digital
                     ―stickies.‖




                                                                                                    15
Information Overload                       Reported on: 25-03-2010                         athandz


Contd. Section 2 – Information Clutter


Source Date      March 2009
Source           http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O
                 verload.pdf


Article 7 -   Industries Facing Information Overload

Key Facts        Areas that produced the most paper output from their information system seemed to
                 be accounting and finance, administrative and executive departments, marketing, and
                 customer support.




Source Date      March 2009
Source           http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O
                 verload.pdf




                                                                                                 16
Information Overload                       Reported on: 25-03-2010                          athandz


Contd. Section 2 – Information Clutter


Article 8 -   Workers Struggle with Data Overload

Key Facts           Information overload is pushing workers to the brink and cutting into workplace
                     productivity, a recent survey by LexisNexis shows.
                    The survey, which polled 650 employees in a variety of industries, found 68
                     percent of respondents wished they could spend less time organizing
                     information and more time using it. Another 85 percent said not finding the
                     right information at the right time was a significant time waster, while 62
                     percent said they spent a lot of time sifting through useless information.
                    In an 8.89-hour average workday, employees said they spent 7.89 hours
                     conducting research, attending meetings and searching for documents, the
                     survey found.
                    Mike Walsh, CEO of LexisNexis Legal Markets, said the results should
                     encourage businesses to invest in more efficient research technology and
                     tools.
                    ―Companies that take action on this issue will realize higher employee
                     productivity and satisfaction,‖ Walsh said in a statement.




Source Date      March 19, 2008/ December 2007
Source           http://www.business-opportunities.biz/2008/03/19/workers-struggle-with-data-
                 overload/
                 http://www.lexisnexis.com/literature/pdfs/LexisNexis_Workplace_Productivity_Surve
                 y_2_20_08.pdf


                                                                                                  17
Information Overload                          Reported on: 25-03-2010                          athandz


Contd. Section 2 – Information Clutter


Article 9 -   How to Dig Out From the Information Avalanche

Key Facts           Seven out of 10 office workers in the United States feel overwhelmed by
                     information in the workplace, and more than two in five say they are headed for
                     a data “breaking point,” according to a recently released Workplace
                     Productivity Survey, commissioned by LexisNexis — a provider of business
                     information solutions.


                 Here’s a breakdown of the findings:
                     -   62 percent of professionals report that they spend a lot of time sifting
                         through irrelevant information to find what they need; 68 percent wish
                         they could spend less time organizing information and more time using
                         the information that comes their way.
                     -   Workers admit that not being able to lay their hands on the right information
                         at the right time impedes their ability to work efficiently; 85 percent agree
                         that not being able to access the right information at the right time is a huge
                         time-waster.
                     -   More than 40 percent of the survey participants indicate an inability to
                         handle future increases in information flow.
                     -   While an average workday for white-collar workers is 8.89 hours, the
                         survey finds that on average, 7.89 working hours are used conducting
                         research, attending meetings, and searching for previously created
                         documents.
                     -   White-collar professionals spend an average of 2.3 hours daily conducting
                         online research, with one in 10 spending four hours or more on an
                         average day.
Source Date      March 16, 2008
Source           http://www.msnbc.msn.com/id/23636252/




                                                                                                     18
Information Overload                       Reported on: 25-03-2010                           athandz


Contd. Section 2 – Information Clutter


Article 10 - Mindjet’s Value of an Hour Survey Reports Continued - Dramatic Results

 Key Facts     Mindjet’s global productivity survey of 2,000 knowledge workers has identified
               key areas where information overload impacts performance and has calculated
               that individuals can increase productivity by at least 3-5 hours per week,
               depending on their organisational role and the time they spend on business activities.
               Conservative estimates by IDC suggest that an organisation with 1,000 employees
               wastes at least $2.5 million per year by failing to find existing information,
               searching for outdated information, or recreating information that is outdated and
               poorly designed. The opportunity costs are even greater, exceeding $15million
               annually.

               Highlights of the average number of hours spent globally per week by knowledge
               workers on the four main business activities include: 9.00 hours a week is spent on
               preparing, running and summarising actions for meetings while 6.78 hours are
               spent managing and consolidating information such as documents, emails and
               web research. For communication and collaboration such as building power
               point presentations, writing documents with others and communicating the
               results to colleagues takes 5.74 hours per week. Finally, 10.70 hours is spent on
               project and task management.

               European results show that the knowledge worker in the UK is slightly more efficient
               than the rest of Europe in managing meeting effectiveness, spending 7.83 hours
               per week as opposed to 9.55 hours in Germany. However, the UK comes last in
               information management, spending 7.08 hours per week, with France spending
               6.69 and Germany 5.91 hours. For communication and collaboration, the UK with
               5.38 hours does slightly better than France’s 5.70 hours and worse than
               Germany’s 4.72 hours. When it comes to project management, Germany is
               supremely efficient spending 9.15 hours per week against the UK at 11.16 hours
               and France at 11.33 hours.
 Source Date   February 26, 2008
 Source        http://www.realwire.com/release_detail.asp?ReleaseID=7900




                                                                                                    19
Information Overload                        Reported on: 25-03-2010                         athandz


Contd. Section 2 – Information Clutter


Article 11 - Mindjet’s Value of an Hour Survey - Average Hours Spent Each Week on

          Information Management Related Activities

 Key Facts       Mindjet’s global productivity survey has reported that over six-and-a-half hours on
                 average is spent each week on information-management related activities:




 Source Date     February 26, 2008
 Source          http://www.mindjet.com/pdf/us/wp_successInformationEconomy.pdf




                                                                                                 20
Information Overload                     Reported on: 25-03-2010                      athandz


Contd. Section 2 – Information Clutter


Article 12 - Mindjet’s Value of an Hour Survey - Information Overload Impacts Performance

 Key Facts     Based on Mindjet’s global productivity survey of 1,800 knowledge workers, we
               identified key areas where information overload impacts performance.




 Source Date   February 26, 2008
 Source        http://www.mindjet.com/pdf/us/wp_successInformationEconomy.pdf




                                                                                            21
Information Overload                          Reported on: 25-03-2010                           athandz



Section 3 – How Information Overload Affects Employers
Article 1 -   How Does Information Overload Affect Company Earnings?

Information overload can have a devastating effect on company earnings, and the danger is even more
detrimental if it goes unrecognized. A company comprised of overloaded individuals is going to
experience high turnover, low job satisfaction, missed financial forecasts, unproductive meetings, high
error rates in work products, operation at a frantic pace, and high levels of rework.


A recent study published in Harvard Business Review found that the average worker today spends
40% of the work day merely processing information. This translates into only 60% of the average
work day being spent on true value creation activities. 40% of the payroll costs are spent handling
the overload. The more time spent on processing information and not creating value, the less a
company earns.


Source: http://speedwithpurpose.com/overload.aspx


Article 2 -   Tech Giants Tackle Information Overload
A large corporation in the tech industry has tens or hundreds of thousands of people, and if they lose 28
percent of their time to distraction, that's 28 percent of their time at full pay that they aren't
producing any value for the employer. The corporations have to think about that, too.


Companies also have to think about balancing their employees' lives. Information overload outside of
work, like using a BlackBerry on weekends or vacations, could hinder the work-life balance, leading to
decreased worker satisfaction. Zeldes also points out the problem is not just affecting technology
companies or large corporations.


Source Date: July 18, 2008
Source: http://news.cnet.com/8301-1001_3-9993917-92.html




                                                                                                      22
Information Overload                         Reported on: 25-03-2010                          athandz


Contd. Section 1 – Information Overload


Article 3 -   How Supervisors can influence workforce productivity

 Key Facts        The ways in which supervisors spend their time influences their own productivity
                    and that of their workers.
                  Every 1 point increase in the amount of time a supervisor spends actively
                    supervising his or her employees translates into an increase in the amount of time
                    workers spend on productive activities of 0.2 points.
                  The analysis also found that for every 1 point reduction in the amount of
                    supervisors’ available time, worker unproductive time falls by 0.1 percentage
                    points.
                  Manager’s report spending an average of 42% of their time on administrative tasks.
                  The administrative overload is greatest in Spain and the United Kingdom.




 Source Date     2008
 Source          http://www.alexanderproudfoot.com/WorkArea//DownloadAsset.aspx?id=254




                                                                                                   23
Information Overload                        Reported on: 25-03-2010                           athandz



Section 4 - Data Traffic
Article 1 -   Data Traffic Growing Faster Than Revenues

   Growing problem of mobile data consumption vs. revenue: perhaps 100X growth of aggregate data
    vs. 2X growth of revenue (in the next 5 years)
   The rapid growth of data consumption is real, has been observed by many operators.
   This growth has been driven by many factors, including flat-rate and modestly-priced data plans.




                                    Rapid Increment of Data Traffic


Source Date: February 26, 2009
Source: http://imcellular.org/2009/02/26/problem-data-traffic-growing-faster-than-revenues/




                                                                                                       24
Information Overload                           Reported on: 25-03-2010                        athandz


Contd. Section 4 – Data Traffic
Article 2 -      Why Is Data Consumption Rapidly Increasing?

   More Subscribers on Mobile Internet Data Plans
    -    Developed markets will easily see 40% of subscribers on a data plan by 2012, most on a ―Flat
         Rate‖ plan that encourages use (without a penalty of incremental cost for incremental use)
    -    This trend is so strong that mobile Internet subscribers are expected to outnumber fixed
         Internet subscribers in 2011.




   More Capable Internet Devices
    -    IPhone has redefined how subscribers can use the mobile Internet, and established that the
         masses can and will browse, use Location-Based Services, watch YouTube video, download
         and install applications, and more.
    -    By 2011, 30% of the handsets sold in developed markets will be smartphones.
   More Services Used
    -    End Users are consuming more services as a result of better devices and a wider variety of
         applications.
Example, Apple’s App Store, has defined a model of data services on demand that is widely appealing,
with 500 M downloads in less than a year of operation, establishing that there is a large market for
data services.




                                                                                                      25
Information Overload                        Reported on: 25-03-2010                           athandz


Contd. Section 4 – Data Traffic




Source Date: February 26, 2009
Source: http://imcellular.org/2009/02/26/problem-data-traffic-growing-faster-than-revenues/




                                                                                                   26
Information Overload                        Reported on: 25-03-2010                           athandz



Section 5 - Information Consumption
5.1 U.S Information Consumption

   Americans spend a huge amount of time at home receiving information, an average of 11.8 hours
    per day.

   Bytes of information consumed by U.S. individuals have grown at 5.4 percent annually since 1980,
    far less than the growth rate of computer and information technology performance.

   Roughly 3.6 zettabytes (or 3,600 exabytes) of information were consumed in American homes
    in 2008.

   Americans spend 41 percent of our information time watching television, but TV accounts
    for less than 35 percent of information bytes consumed.

   Computer and video games account for 55 percent of all information bytes consumed in the home,
    because modern game consoles and PCs create huge streams of graphics.

   The average American consumes 34 GB worth of content a day, including a whopping 100,000
    words of information.
   The report clarifies that we don’t necessarily parse a full 100,000 words per day, but that rather
    astounding figure does cross our eyes and ears each 24-hour interval via multiple channels: the
    Web, TV, text messaging, radio, video games and more.
   The big winner is still television at almost 45 percent of our daily allowance, but the computer is
    a not-too-distant second at about 27 percent.
   In all, we spend about 11.8 hours per day absorbing mass quantities of information,
    sometimes multitasking in front of multiple screens simultaneously.


Hourly Information Consumption




                                                                                                    27
Information Overload                      Reported on: 25-03-2010       athandz


Contd. Section 5 – Information Consumption


Consumption of Words




Information Consumption in Compressed Bytes




Source Date: December 09, 2009
Source: http://mashable.com/2009/12/09/american-data-diet/
        http://hmi.ucsd.edu/pdf/HMI_2009_ConsumerReport_Dec9_2009.pdf




                                                                             28
Information Overload                       Reported on: 25-03-2010                             athandz


Contd. Section 5– Information Consumption


5.2 Metadata
Article 1 -   The Metadata Problem

Key Facts          In 2008, non-textual media storage requirements (audio, music, images, and
                    video) were an estimated 16 exabytes. (An exabyte is a billion Gbytes.)
                   Subscription-based and download media sales totaled $3.3 billion in 2008
                   British independent TV network broadcaster ITN adds more than 20 hours of
                    broadcast-quality video to its archives every day, and it’s just one of hundreds of
                    global broadcasters doing so.
                   Web 2.0 users add 20 hours of video to YouTube’s archives every minute.
                   Currently, none of this media is easily searchable.
                   Video in particular is hard to search because most of the material is not indexed
                    in a searchable way.
Source Date     January 21, 2010
Source          http://www.edn.com/blog/980000298/post/1780052178.html




                                                                                                        29
Information Overload                        Reported on: 25-03-2010                            athandz


Contd. Section 5– Information Consumption


5.3 Data Superabundance
Article 1 -   Enterprise Data Growth

Key Facts             Enterprise Data Growth in the next 5 years is estimated to be 650%
                      80% of this data will be unstructured data
                      40 exabytes* of unstructured new information will be generated worldwide in
                       2009
                      The estimated average storage capacity growth in Australia in 2009 is
                       60%… in 2010 they estimate it will be 62%
Source Date        November 16, 2009
Source             http://blog.une.edu.au/robbi/2009/11/16/enterprise-data-growth/


Article 2 -   Attacking the Growth Barrier of Data Storage

Key Facts             IDC estimated the amount of data stored worldwide in 2007 was nearly
                       300 exabytes, and that this number will grow ten-fold by 2011.
                      The data storage, archive, and backup of large volumes of digital content is
                       quickly creating demands for multi-petabyte storage systems (equal to
                       thousands of terabytes or millions of gigabytes), but today’s storage industry
                       -- and its technological approach -- is not set up to effectively meet this
                       demand.
                      The beauty of dispersal is that as storage increases, the cost per unit of storage
                       does not. Dispersal also meets the same reliability target.
                      The table below best illustrates a generic example of cost savings between
                       dispersal and replication when fixing the cost at a representative, but not
                       necessarily actual, ―raw” storage cost of $2.75 per GB.




Source Date        September 10, 2009
Source             http://www.wwpi.com/index.php?option=com_content&view=article&catid=99:cov
                   er-story&id=7726:attacking-the-growth-barrier-of-data-storage&Itemid=2701018




                                                                                                      30
Information Overload                          Reported on: 25-03-2010                    athandz


Contd. Section 5– Information Consumption


Article 3 -   Growth of Stored Data

Key Facts               The amount of data stored within corporate servers, workstations and
                         user's machines continues to grow.
                        The dramatic growth of stored data is fueled by three trends:
                        Increasing capacity of storage media,
                        Decreasing costs per MB,
                        Emerging role of information technology within firms.




Source Date        N/A
Source             http://www.deepspar.com/wp-data-loss.html




                                                                                              31
Information Overload                    Reported on: 25-03-2010                       athandz



Feedback
Any feedback on the answer provided would be greatly appreciated by the researcher and athandz
team.



Want to know more details about our RESEARCH
SERVICES?



Please contact nadee@athandz.com




                                                                                           32

Mais conteúdo relacionado

Mais procurados

Who Says Big Companiers Can't Innovate?
Who Says Big Companiers Can't Innovate? Who Says Big Companiers Can't Innovate?
Who Says Big Companiers Can't Innovate? Booz Allen Hamilton
 
A next generation introduction to data science and its potential to change bu...
A next generation introduction to data science and its potential to change bu...A next generation introduction to data science and its potential to change bu...
A next generation introduction to data science and its potential to change bu...InnoTech
 
Dark Data: Where the Future Lies
Dark Data: Where the Future LiesDark Data: Where the Future Lies
Dark Data: Where the Future LiesVince Kellen, Ph.D.
 
23 ijcse-01238-1indhunisha
23 ijcse-01238-1indhunisha23 ijcse-01238-1indhunisha
23 ijcse-01238-1indhunishaShivlal Mewada
 
Unleashing government’s ‘innovation mojo’ an interview with the us chief tec...
Unleashing government’s ‘innovation mojo’  an interview with the us chief tec...Unleashing government’s ‘innovation mojo’  an interview with the us chief tec...
Unleashing government’s ‘innovation mojo’ an interview with the us chief tec...Mondher Ben-Hamida
 
Db recovery free_book
Db recovery free_bookDb recovery free_book
Db recovery free_bookPetra Almao
 
Data Science and Innovation: An Introduction
Data Science and Innovation: An IntroductionData Science and Innovation: An Introduction
Data Science and Innovation: An IntroductionDrTanatorn
 
BioIT World 2016 - HPC Trends from the Trenches
BioIT World 2016 - HPC Trends from the TrenchesBioIT World 2016 - HPC Trends from the Trenches
BioIT World 2016 - HPC Trends from the TrenchesChris Dagdigian
 
Nurses&Technology mHIseminar.McLeod
Nurses&Technology mHIseminar.McLeodNurses&Technology mHIseminar.McLeod
Nurses&Technology mHIseminar.McLeodmHealth Initiative
 
Big data-and-creativity v.1
Big data-and-creativity v.1Big data-and-creativity v.1
Big data-and-creativity v.1Kim Flintoff
 
Information Management - Data Processing
Information Management - Data ProcessingInformation Management - Data Processing
Information Management - Data ProcessingGisli Olafsson
 
Smart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWorkSmart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWorkSteve Ardire
 
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Dana Gardner
 
How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...
How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...
How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...Dana Gardner
 
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015MassTLC
 
EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session Steve Ardire
 
HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...
HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...
HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...Ascentis
 

Mais procurados (20)

Who Says Big Companiers Can't Innovate?
Who Says Big Companiers Can't Innovate? Who Says Big Companiers Can't Innovate?
Who Says Big Companiers Can't Innovate?
 
A next generation introduction to data science and its potential to change bu...
A next generation introduction to data science and its potential to change bu...A next generation introduction to data science and its potential to change bu...
A next generation introduction to data science and its potential to change bu...
 
Dark Data: Where the Future Lies
Dark Data: Where the Future LiesDark Data: Where the Future Lies
Dark Data: Where the Future Lies
 
23 ijcse-01238-1indhunisha
23 ijcse-01238-1indhunisha23 ijcse-01238-1indhunisha
23 ijcse-01238-1indhunisha
 
Misceb intro2014
Misceb intro2014Misceb intro2014
Misceb intro2014
 
Unleashing government’s ‘innovation mojo’ an interview with the us chief tec...
Unleashing government’s ‘innovation mojo’  an interview with the us chief tec...Unleashing government’s ‘innovation mojo’  an interview with the us chief tec...
Unleashing government’s ‘innovation mojo’ an interview with the us chief tec...
 
Smart machines
Smart machinesSmart machines
Smart machines
 
Db recovery free_book
Db recovery free_bookDb recovery free_book
Db recovery free_book
 
Data Science and Innovation: An Introduction
Data Science and Innovation: An IntroductionData Science and Innovation: An Introduction
Data Science and Innovation: An Introduction
 
BioIT World 2016 - HPC Trends from the Trenches
BioIT World 2016 - HPC Trends from the TrenchesBioIT World 2016 - HPC Trends from the Trenches
BioIT World 2016 - HPC Trends from the Trenches
 
Nurses&Technology mHIseminar.McLeod
Nurses&Technology mHIseminar.McLeodNurses&Technology mHIseminar.McLeod
Nurses&Technology mHIseminar.McLeod
 
Big data-and-creativity v.1
Big data-and-creativity v.1Big data-and-creativity v.1
Big data-and-creativity v.1
 
Information Management - Data Processing
Information Management - Data ProcessingInformation Management - Data Processing
Information Management - Data Processing
 
Smart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWorkSmart Data 2017 #AI & #FutureofWork
Smart Data 2017 #AI & #FutureofWork
 
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
Loyalty Management Innovator AIMIA's Transformation Journey to Modernized and...
 
How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...
How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...
How HudsonAlpha Innovates on IT for Research-Driven Education, Genomic Medici...
 
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
Tom Davenport, Automation vs Augmentation; Big Data Summit 2015
 
EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session EDW 2015 cognitive computing panel session
EDW 2015 cognitive computing panel session
 
WIPAC Monthly - July 2016
WIPAC Monthly - July 2016WIPAC Monthly - July 2016
WIPAC Monthly - July 2016
 
HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...
HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...
HR Webinar: When Bad Things Happen to Good Companies: Preparing for the Unexp...
 

Destaque

Gestion tecnologica
Gestion tecnologicaGestion tecnologica
Gestion tecnologicaLorena Ohmen
 
Currículo Nacional de la Educación Básica
Currículo Nacional de la Educación BásicaCurrículo Nacional de la Educación Básica
Currículo Nacional de la Educación BásicaDiego Ponce de Leon
 
Metodología de la investigacióm
Metodología de la investigaciómMetodología de la investigacióm
Metodología de la investigaciómPaul Itusaca Canaza
 
Informe mantenimiento mecanico
Informe mantenimiento mecanicoInforme mantenimiento mecanico
Informe mantenimiento mecanicoJDPVasquez
 
Proyectos_de_innovacion
Proyectos_de_innovacionProyectos_de_innovacion
Proyectos_de_innovacionWebMD
 
Primer Paquete Económico 2017 Zacatecas (2/9)
Primer Paquete Económico 2017 Zacatecas (2/9)Primer Paquete Económico 2017 Zacatecas (2/9)
Primer Paquete Económico 2017 Zacatecas (2/9)Zacatecas TresPuntoCero
 
De Reis van de Heldin december 2015
De Reis van de Heldin december 2015De Reis van de Heldin december 2015
De Reis van de Heldin december 2015Peter de Kuster
 
1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)
1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)
1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)Geohistoria23
 
Maltrato infantil ong_paicabi
Maltrato infantil ong_paicabiMaltrato infantil ong_paicabi
Maltrato infantil ong_paicabikarely de la o
 
Gfpi f-019 guia de aprendizaje 01 tda orientar fpi
Gfpi f-019 guia de aprendizaje 01 tda orientar fpiGfpi f-019 guia de aprendizaje 01 tda orientar fpi
Gfpi f-019 guia de aprendizaje 01 tda orientar fpilisbet bravo
 
Portafolio de Evidencias de mi Práctica Docente
Portafolio de Evidencias de mi Práctica DocentePortafolio de Evidencias de mi Práctica Docente
Portafolio de Evidencias de mi Práctica DocenteNorma Vega
 
JULIOPARI - Elaborando un Plan de Negocios
JULIOPARI - Elaborando un Plan de NegociosJULIOPARI - Elaborando un Plan de Negocios
JULIOPARI - Elaborando un Plan de NegociosJulio Pari
 

Destaque (20)

Gestion tecnologica
Gestion tecnologicaGestion tecnologica
Gestion tecnologica
 
Proyecto Formativo
Proyecto FormativoProyecto Formativo
Proyecto Formativo
 
Currículo Nacional de la Educación Básica
Currículo Nacional de la Educación BásicaCurrículo Nacional de la Educación Básica
Currículo Nacional de la Educación Básica
 
Metodología de la investigacióm
Metodología de la investigaciómMetodología de la investigacióm
Metodología de la investigacióm
 
Informe mantenimiento mecanico
Informe mantenimiento mecanicoInforme mantenimiento mecanico
Informe mantenimiento mecanico
 
Proyectos_de_innovacion
Proyectos_de_innovacionProyectos_de_innovacion
Proyectos_de_innovacion
 
Primer Paquete Económico 2017 Zacatecas (2/9)
Primer Paquete Económico 2017 Zacatecas (2/9)Primer Paquete Económico 2017 Zacatecas (2/9)
Primer Paquete Económico 2017 Zacatecas (2/9)
 
"Protección de la salud mental luego del terremoto y tsunami del 27 de febrer...
"Protección de la salud mental luego del terremoto y tsunami del 27 de febrer..."Protección de la salud mental luego del terremoto y tsunami del 27 de febrer...
"Protección de la salud mental luego del terremoto y tsunami del 27 de febrer...
 
Relatietips
RelatietipsRelatietips
Relatietips
 
Componentes de un Plan de Negocios
Componentes de un Plan de NegociosComponentes de un Plan de Negocios
Componentes de un Plan de Negocios
 
De Reis van de Heldin december 2015
De Reis van de Heldin december 2015De Reis van de Heldin december 2015
De Reis van de Heldin december 2015
 
1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)
1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)
1ºBACH ECONOMÍA Repaso temas 5 6-7 (gh23)
 
Maltrato infantil ong_paicabi
Maltrato infantil ong_paicabiMaltrato infantil ong_paicabi
Maltrato infantil ong_paicabi
 
Gfpi f-019 guia de aprendizaje 01 tda orientar fpi
Gfpi f-019 guia de aprendizaje 01 tda orientar fpiGfpi f-019 guia de aprendizaje 01 tda orientar fpi
Gfpi f-019 guia de aprendizaje 01 tda orientar fpi
 
Portafolio de Evidencias de mi Práctica Docente
Portafolio de Evidencias de mi Práctica DocentePortafolio de Evidencias de mi Práctica Docente
Portafolio de Evidencias de mi Práctica Docente
 
Geheugen verbeteren
Geheugen verbeterenGeheugen verbeteren
Geheugen verbeteren
 
JULIOPARI - Elaborando un Plan de Negocios
JULIOPARI - Elaborando un Plan de NegociosJULIOPARI - Elaborando un Plan de Negocios
JULIOPARI - Elaborando un Plan de Negocios
 
Guia para el aviso de privacidad
Guia para el aviso de privacidadGuia para el aviso de privacidad
Guia para el aviso de privacidad
 
De impact van adhd
De impact van adhdDe impact van adhd
De impact van adhd
 
PMP Sonora Saludable 2010 2015
PMP Sonora Saludable 2010   2015  PMP Sonora Saludable 2010   2015
PMP Sonora Saludable 2010 2015
 

Semelhante a Information Overload Phenomena

The Diverse and Exploding Digital Universe
The Diverse and Exploding Digital UniverseThe Diverse and Exploding Digital Universe
The Diverse and Exploding Digital Universearms8586
 
IDC Report Extracting-Value-from-Chaos
IDC Report Extracting-Value-from-ChaosIDC Report Extracting-Value-from-Chaos
IDC Report Extracting-Value-from-ChaosLarry Levine
 
Modern data integration | Diyotta
Modern data integration | Diyotta Modern data integration | Diyotta
Modern data integration | Diyotta diyotta
 
QuickView #3 - Big Data
QuickView #3 - Big DataQuickView #3 - Big Data
QuickView #3 - Big DataSonovate
 
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Oomph! Recruitment
 
Big Data Expo 2015 - IBM 5 predictions
Big Data Expo 2015 - IBM 5 predictionsBig Data Expo 2015 - IBM 5 predictions
Big Data Expo 2015 - IBM 5 predictionsBigDataExpo
 
The full service mechanic for your big data project
The full service mechanic for your big data projectThe full service mechanic for your big data project
The full service mechanic for your big data projectNeos IT Services GmbH
 
Power from big data - Are Europe's utilities ready for the age of data?
Power from big data - Are Europe's utilities ready for the age of data?Power from big data - Are Europe's utilities ready for the age of data?
Power from big data - Are Europe's utilities ready for the age of data?Steve Bray
 
Big Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMUBig Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMUEdison Lim Jun Hao
 
Keeping pace with technology and big data.pdf
Keeping pace with technology and big data.pdfKeeping pace with technology and big data.pdf
Keeping pace with technology and big data.pdfClaire D'Costa
 
Story of Bigdata and its Applications in Financial Institutions
Story of Bigdata and its Applications in Financial InstitutionsStory of Bigdata and its Applications in Financial Institutions
Story of Bigdata and its Applications in Financial Institutionsijtsrd
 
MIS Quarterly Executive Vol. 6 No. 2 June 2007 67© 2007 Univ.docx
MIS Quarterly Executive Vol. 6 No. 2  June 2007 67© 2007 Univ.docxMIS Quarterly Executive Vol. 6 No. 2  June 2007 67© 2007 Univ.docx
MIS Quarterly Executive Vol. 6 No. 2 June 2007 67© 2007 Univ.docxannandleola
 
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air France
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air FranceQu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air France
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air FranceJedha Bootcamp
 
Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09
Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09
Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09Dr D.C. Misra
 
21 Compelling Software Development Facts & Figures: Software Stats
21 Compelling Software Development Facts & Figures: Software Stats21 Compelling Software Development Facts & Figures: Software Stats
21 Compelling Software Development Facts & Figures: Software StatsIntelliware Development Inc.
 
ICT Trends Article - Big Data - October 2015
ICT Trends Article - Big Data - October 2015ICT Trends Article - Big Data - October 2015
ICT Trends Article - Big Data - October 2015Garry Roberton
 

Semelhante a Information Overload Phenomena (20)

The Diverse and Exploding Digital Universe
The Diverse and Exploding Digital UniverseThe Diverse and Exploding Digital Universe
The Diverse and Exploding Digital Universe
 
IDC Report Extracting-Value-from-Chaos
IDC Report Extracting-Value-from-ChaosIDC Report Extracting-Value-from-Chaos
IDC Report Extracting-Value-from-Chaos
 
Modern data integration | Diyotta
Modern data integration | Diyotta Modern data integration | Diyotta
Modern data integration | Diyotta
 
QuickView #3 - Big Data
QuickView #3 - Big DataQuickView #3 - Big Data
QuickView #3 - Big Data
 
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
Quick view Big Data, brought by Oomph!, courtesy of our partner Sonovate
 
Big Data Expo 2015 - IBM 5 predictions
Big Data Expo 2015 - IBM 5 predictionsBig Data Expo 2015 - IBM 5 predictions
Big Data Expo 2015 - IBM 5 predictions
 
The full service mechanic for your big data project
The full service mechanic for your big data projectThe full service mechanic for your big data project
The full service mechanic for your big data project
 
Using Data Riches A tale of two projects - Ajay Vinze
Using Data Riches A tale of two projects - Ajay VinzeUsing Data Riches A tale of two projects - Ajay Vinze
Using Data Riches A tale of two projects - Ajay Vinze
 
Power from big data - Are Europe's utilities ready for the age of data?
Power from big data - Are Europe's utilities ready for the age of data?Power from big data - Are Europe's utilities ready for the age of data?
Power from big data - Are Europe's utilities ready for the age of data?
 
Big Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMUBig Data - Big Deal? - Edison's Academic Paper in SMU
Big Data - Big Deal? - Edison's Academic Paper in SMU
 
Keeping pace with technology and big data.pdf
Keeping pace with technology and big data.pdfKeeping pace with technology and big data.pdf
Keeping pace with technology and big data.pdf
 
Story of Bigdata and its Applications in Financial Institutions
Story of Bigdata and its Applications in Financial InstitutionsStory of Bigdata and its Applications in Financial Institutions
Story of Bigdata and its Applications in Financial Institutions
 
Datapreneurs
DatapreneursDatapreneurs
Datapreneurs
 
MIS Quarterly Executive Vol. 6 No. 2 June 2007 67© 2007 Univ.docx
MIS Quarterly Executive Vol. 6 No. 2  June 2007 67© 2007 Univ.docxMIS Quarterly Executive Vol. 6 No. 2  June 2007 67© 2007 Univ.docx
MIS Quarterly Executive Vol. 6 No. 2 June 2007 67© 2007 Univ.docx
 
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air France
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air FranceQu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air France
Qu'est ce que le Big Data ? Avec Victoria Galano Data Scientist chez Air France
 
Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09
Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09
Misra, D.C.(2009) Knowledge Management For E Government IIPA New Delhi 10.7.09
 
Empowering Energy Efficiency in Federal Data Centers
Empowering Energy Efficiency in Federal Data CentersEmpowering Energy Efficiency in Federal Data Centers
Empowering Energy Efficiency in Federal Data Centers
 
21 Compelling Software Development Facts & Figures: Software Stats
21 Compelling Software Development Facts & Figures: Software Stats21 Compelling Software Development Facts & Figures: Software Stats
21 Compelling Software Development Facts & Figures: Software Stats
 
Big Data
Big DataBig Data
Big Data
 
ICT Trends Article - Big Data - October 2015
ICT Trends Article - Big Data - October 2015ICT Trends Article - Big Data - October 2015
ICT Trends Article - Big Data - October 2015
 

Mais de athandz - Infoserve (Pvt) Ltd (7)

Top Global Brands
Top Global BrandsTop Global Brands
Top Global Brands
 
Christmas Gifts 2010
Christmas Gifts 2010Christmas Gifts 2010
Christmas Gifts 2010
 
Product & patent info
Product & patent infoProduct & patent info
Product & patent info
 
Singapore trip 4_day_itinerary
Singapore trip 4_day_itinerarySingapore trip 4_day_itinerary
Singapore trip 4_day_itinerary
 
Fuel cell industry
Fuel cell industryFuel cell industry
Fuel cell industry
 
Deep web
Deep webDeep web
Deep web
 
Research Report on Lighting Innovation
Research Report on Lighting InnovationResearch Report on Lighting Innovation
Research Report on Lighting Innovation
 

Último

HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsHONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsMichael W. Hawkins
 
A305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdfA305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdftbatkhuu1
 
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataRSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataExhibitors Data
 
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...Aggregage
 
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒anilsa9823
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst SummitHolger Mueller
 
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...amitlee9823
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear RegressionRavindra Nath Shukla
 
Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Servicediscovermytutordmt
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyEthan lee
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesDipal Arora
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Neil Kimberley
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMRavindra Nath Shukla
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Dipal Arora
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Serviceritikaroy0888
 
Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...
Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...
Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...lizamodels9
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableDipal Arora
 
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 DelhiCall Girls in Delhi
 
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaBest Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaShree Krishna Exports
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxWorkforce Group
 

Último (20)

HONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael HawkinsHONOR Veterans Event Keynote by Michael Hawkins
HONOR Veterans Event Keynote by Michael Hawkins
 
A305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdfA305_A2_file_Batkhuu progress report.pdf
A305_A2_file_Batkhuu progress report.pdf
 
RSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors DataRSA Conference Exhibitor List 2024 - Exhibitors Data
RSA Conference Exhibitor List 2024 - Exhibitors Data
 
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Commun...
 
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒VIP Call Girls In Saharaganj ( Lucknow  ) 🔝 8923113531 🔝  Cash Payment (COD) 👒
VIP Call Girls In Saharaganj ( Lucknow ) 🔝 8923113531 🔝 Cash Payment (COD) 👒
 
Progress Report - Oracle Database Analyst Summit
Progress  Report - Oracle Database Analyst SummitProgress  Report - Oracle Database Analyst Summit
Progress Report - Oracle Database Analyst Summit
 
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
Call Girls Jp Nagar Just Call 👗 7737669865 👗 Top Class Call Girl Service Bang...
 
Regression analysis: Simple Linear Regression Multiple Linear Regression
Regression analysis:  Simple Linear Regression Multiple Linear RegressionRegression analysis:  Simple Linear Regression Multiple Linear Regression
Regression analysis: Simple Linear Regression Multiple Linear Regression
 
Call Girls in Gomti Nagar - 7388211116 - With room Service
Call Girls in Gomti Nagar - 7388211116  - With room ServiceCall Girls in Gomti Nagar - 7388211116  - With room Service
Call Girls in Gomti Nagar - 7388211116 - With room Service
 
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case studyThe Coffee Bean & Tea Leaf(CBTL), Business strategy case study
The Coffee Bean & Tea Leaf(CBTL), Business strategy case study
 
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best ServicesMysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
Mysore Call Girls 8617370543 WhatsApp Number 24x7 Best Services
 
Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023Mondelez State of Snacking and Future Trends 2023
Mondelez State of Snacking and Future Trends 2023
 
Monte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSMMonte Carlo simulation : Simulation using MCSM
Monte Carlo simulation : Simulation using MCSM
 
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
Call Girls Navi Mumbai Just Call 9907093804 Top Class Call Girl Service Avail...
 
Call Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine ServiceCall Girls In Panjim North Goa 9971646499 Genuine Service
Call Girls In Panjim North Goa 9971646499 Genuine Service
 
Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...
Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...
Call Girls In Holiday Inn Express Gurugram➥99902@11544 ( Best price)100% Genu...
 
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service AvailableCall Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
Call Girls Pune Just Call 9907093804 Top Class Call Girl Service Available
 
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
9599632723 Top Call Girls in Delhi at your Door Step Available 24x7 Delhi
 
Best Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in IndiaBest Basmati Rice Manufacturers in India
Best Basmati Rice Manufacturers in India
 
Cracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptxCracking the Cultural Competence Code.pptx
Cracking the Cultural Competence Code.pptx
 

Information Overload Phenomena

  • 1. INFORMATION OVERLOAD Summary The customer sought information was articles, reports, studies on the ―Information overload phenomena‖. The researcher has categorized information as Information overload, data traffic and information consumption. Comprehensive research was conducted as per customer requirements through separate searches. To view details of the methodology undertaken and challenges encountered within the process of this research: please click The summary of the findings are as follows: Section 1 - Information Overload  In 2010, 1.2 zettabytes of digital information will be created, according to a new "Digital Universe" study from IDC sponsored by IT firm EMC Corporation.  International Data Corp. reports that the digital universe will hit 1.8 zettabytes (a zettabyte is 1 billion terabytes) by 2011.  Information Overload would be the 2008 ―Problem-of-the-Year.‖  Overload costs the U.S. economy a minimum of $900 billion per year, it appears that it will be 2009’s problem as well.  Workers spend up to 50 percent of their day managing information. Section 2 - Information Clutter  Knowledge workers spend their days, according to Basex: - 28%-Unnecessary interruptions followed by "recovery time" to get back on track - 25%-Creating content-productive! - 20%-Meetings-some productive, some not - 15%-Searching for information (and an estimated 50% of searches fail) - 12%-Thinking and reflecting  Reducing the time wasted dealing with information overload by 15% could save a company with 500 employees more than $2 million a year. Cutting the wasted time by just 15% through automation would save U.S. enterprises more than $270 billion.  62 percent of professionals report that they spend a lot of time sifting through irrelevant information to find what they need; 68 percent wish they could spend less time organizing information and more time using the information that comes their way.  In an 8.89-hour average workday, employees said they spent 7.89 hours conducting research, attending meetings and searching for documents, the survey found.
  • 2. Information Overload Reported on: 25-03-2010 athandz Contd. Summary Section 2 - Information Clutter Contd  Conservative estimates by IDC suggest that an organisation with 1,000 employees wastes at least $2.5 million per year by failing to find existing information, searching for outdated information, or recreating information that is outdated and poorly designed.  Highlights of the average number of hours spent globally per week by knowledge workers on the four main business activities include: 9.00 hours a week is spent on preparing, running and summarising actions for meetings while 6.78 hours are spent managing and consolidating information such as documents, emails and web research.  UK comes last in information management, spending 7.08 hours per week, with France spending 6.69 and Germany 5.91 hours. Section 3 - How Information Overload Affects Employers  Harvard Business Review found that the average worker today spends 40% of the work day merely processing information. This translates into only 60% of the average work day being spent on true value creation activities. 40% of the payroll costs are spent handling the overload. The more time spent on processing information and not creating value, the less a company earns.  Employees lose 28% in distraction which is their time at full pay that they aren't producing any value for the employer.  Manager’s report spending an average of 42% of their time on administrative tasks.  The administrative overload is greatest in Spain and the United Kingdom.  The analysis also found that for every 1 point reduction in the amount of supervisors’ available time, worker unproductive time falls by 0.1 percentage points. Section 4 – Data Traffic  The rapid growth of data consumption is real, has been observed by many operators.  Growing problem of mobile data consumption vs. revenue: perhaps 100X growth of aggregate data vs. 2X growth of revenue (in the next 5 years)  App Store, has defined a model of data services on demand that is widely appealing, with 500 M downloads in less than a year of operation, establishing that there is a large market for data services. 2
  • 3. Information Overload Reported on: 25-03-2010 athandz Contd. Summary Section 5 - Information Consumption 5.1 U.S Information Consumption  Roughly 3.6 zettabytes (or 3,600 exabytes) of information were consumed in American homes in 2008.  The big winner is still television at almost 45 percent of our daily allowance, but the computer is a not- too-distant second at about 27 percent.  In all, we spend about 11.8 hours per day absorbing mass quantities of information, sometimes multitasking in front of multiple screens simultaneously. 5.2 Metadata  In 2008, non-textual media storage requirements (audio, music, images, and video) were an estimated 16 exabytes. (An exabyte is a billion Gbytes.)  Subscription-based and download media sales totaled $3.3 billion in 2008 5.3 Data Superabundance  Enterprise Data Growth in the next 5 years is estimated to be 650%  80% of this data will be unstructured data  40 exabytes* of unstructured new information will be generated worldwide in 2009  IDC estimated the amount of data stored worldwide in 2007 was nearly 300 exabytes, and that this number will grow ten-fold by 2011. Methodologies and Challenges  Search was directed towards details about Information Overload.  The researcher has provided a global outlook of information overload from the productivity perspective. However, most of the studies conducted mainly concentrated on USA.  The researchers have extracted information from several sources. This was quite time consuming as an extensive reading of articles were required.  The researcher spent maximum time utilized for the query. 3
  • 4. Information Overload Reported on: 25-03-2010 athandz TABLE OF CONTENTS SUMMARY............................................................................................................................................. 1 SECTION 1 – INFORMATION OVERLOAD .................................................................................... 5 SECTION 2 – INFORMATION CLUTTER ..................................................................................... 10 SECTION 3 – HOW INFORMATION OVERLOAD AFFECTS EMPLOYERS ......................... 22 SECTION 4 - DATA TRAFFIC .......................................................................................................... 24 SECTION 5 - INFORMATION CONSUMPTION ........................................................................... 27 5.1 U.S INFORMATION CONSUMPTION ................................................................................................ 27 5.2 METADATA ................................................................................................................................... 29 5.3 DATA SUPERABUNDANCE ............................................................................................................. 30 FEEDBACK .......................................................................................................................................... 32 WANT TO KNOW MORE DETAILS ABOUT OUR RESEARCH SERVICES? ........................ 32 4
  • 5. Information Overload Reported on: 25-03-2010 athandz Section 1 – Information Overload Article 1 - Zettabytes Now Needed to Describe Global Data Overload Key Facts  Humankind will generate over one sextillion bytes of digital information this year, surging into the realm of the "zettabyte" as we create ever more electronic data.  In 2010, 1.2 zettabytes of digital information will be created, according to a new "Digital Universe" study from IDC sponsored by IT firm EMC Corporation.  Even during the recession of 2009, the glut of digital information expanded 62 percent over the previous year to 800 billion gigabytes. Source Date May 04,2010 Source http://www.technewsdaily.com/zettabytes-now-needed-to-describe-global-data- overload-0513/ Article 2 - Data Glut! The Answer Is Innovation Key Facts  Data is piling up fast at almost every business, from financial corporations to online shopping sites. Security log files, network events, transaction records. e- mail and more are flooding firms with information.  International Data Corp. reports that the digital universe will hit 1.8 zettabytes (a zettabyte is 1 billion terabytes) by 2011.  That’s a tenfold increase in the next five years. IDC says growth is running at an annual rate of 60 percent. And the cost of data management is significant  At Teradata we’re committed to innovation that’s keeping companies a couple of steps out in front of the data information glut.  Teradata 13, our latest data warehouse database, reveals our deep commitment to engineering excellence that provides a powerful system to work with the wide variety of data that are pounding enterprise IT data systems. Source Date February 15, 2010 Source http://www.basexblog.com/2008/12/19/information-overload-now-900-billion-what- is-your-organizations-exposure/ 5
  • 6. Information Overload Reported on: 25-03-2010 athandz Contd. Section 1 – Information Overload Article 3 - Causes of Information Overload Key Facts Information overload is one of the pressing issues of today’s increasingly fast-paced, complex and communication-intensive business world. As we have seen from this chapter, reducing information overload is also the responsibility of communicators and not just of those receiving information. Source Date March 2009 Source http://s3.amazonaws.com/ppt-download/informationoverload-090702133826- phpapp02.pdf?Signature=gm5npY0NxXsaR0F%2BCykZW6jh3Vs%3D&Expires=127 3783849&AWSAccessKeyId=AKIAJLJT267DEGKZDHEQ 6
  • 7. Information Overload Reported on: 25-03-2010 athandz Contd. Section 1 – Information Overload Article 4 - Calculating Information Overload – Find out Your Organization’s Cost Key Facts  A year ago, Basex announced that Information Overload would be the 2008 “Problem-of-the-Year.”  Now that we know that Information Overload costs the U.S. economy a minimum of $900 billion per year, it appears that it will be 2009’s problem as well.  Information Overload causes: - Markedly lower productivity, - Diminished comprehension levels, - Compromised concentration levels, - Less innovation.  According to a recent Basex survey, it also causes health problems: 35% of knowledge workers experience work-related back and/or neck pain, carpal tunnel syndrome, eye strain, headaches, or stress related symptoms. Source Date January 13, 2009 Source http://www.iocalculator.com/ http://iorgforum.org/blog/2009/01/13/calculating-information-overload-find-out-your- organizations-cost/ 7
  • 8. Information Overload Reported on: 25-03-2010 athandz Contd. Section 1 – Information Overload Article 5 - Information Overload: Now $900 Billion Key Facts  Information overload describes an excess of information that results in the loss of ability to make decisions, process information, and prioritize tasks.  It remains a key challenge for companies that operate in the knowledge economy but it is nothing new. Indeed, it was very much on the minds of thought leaders of an earlier information age centuries ago, including Roger Bacon, Samuel Johnson, and Konrad Geßner whose 1545 Bibliotheca universalis warned of the “confusing and harmful abundance of books” and promulgated reading strategies for coping with the overload of information.  Workers spend up to 50 percent of their day managing information, according to a recent survey conducted by Basex of more than 3,000 knowledge workers, and streamlining these processes can have a significant impact on productivity. But determining the extent of the problem is the first step.  Information Overload costs the U.S. economy a minimum of $900 billion per year in lowered employee productivity and reduced innovation.  Despite its heft, this is a fairly conservative number and reflects the loss of 25% of the knowledge worker’s day to the problem. The total could be as high as $1 trillion. Source Date December 19, 2008 Source http://www.basexblog.com/2008/12/19/information-overload-now-900-billion-what- is-your-organizations-exposure/ 8
  • 9. Information Overload Reported on: 25-03-2010 athandz Contd. Section 1 – Information Overload Article 6 - Six Communication Principles for Overload Environments Key Facts We phrase these principles as paradoxes in order to motivate communicators to apply those mechanisms carefully, e.g., balancing reduction and transformation based on the specific communication context. Their sequence follows the goals of: 1. Getting attention. 2. Ensuring comprehension. 3. Fostering retention. Source Date March 2009 Source http://s3.amazonaws.com/ppt-download/informationoverload-090702133826- phpapp02.pdf?Signature=gm5npY0NxXsaR0F%2BCykZW6jh3Vs%3D&Expires=12 73783849&AWSAccessKeyId=AKIAJLJT267DEGKZDHEQ 9
  • 10. Information Overload Reported on: 25-03-2010 athandz Section 2 – Information Clutter Article 1 - Tackling Information Overload Key Facts The compelling statistic: Basex estimates, based on data it has gathered, that information overload costs the U.S. economy a minimum of $900 billion a year in lost productivity and reduced innovation.  Knowledge workers spend their days, according to Basex: - 28%-Unnecessary interruptions followed by "recovery time" to get back on track - 25%-Creating content-productive! - 20%-Meetings-some productive, some not - 15%-Searching for information (and an estimated 50% of searches fail) - 12%-Thinking and reflecting  Simple ways to save time and to manage information overload. - Breathe-Schedule breaks in your work routine. - Simplify your schedule-Schedule meetings on specific days, leaving others free. - Back it up - Declutter your desktop (both of them). - Touch it once-and respond, file, or delete. - Forget the free stuff (choose quality over quantity). - Use your tools, such as your smartphone. - RSS reprieve-Sign up with an aggregator. - Manage mobile madness-Use a mobile device and deal with things as they arise. Source Date May 04, 2009 Source http://newsbreaks.infotoday.com/Spotlight/Tackling-Information-Overload-53712.asp 10
  • 11. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 2 - Growth of Enterprise Information Key Facts  Each year the amount of information created in the enterprise, paper and digital combined grows faster than 65%.  Non-productive information work, such as reformatting documents or reentering documents into computers, consumed more than $1.5 trillion in U.S. salaries last year.  Survey respondents spend as much as 26% of their time trying to manage information overload.  Respondents split their time evenly between dealing with paper and digital information, but 71% prefer to deal with digital information.  The amount of time U.S. information workers spent last year managing paper- driven information overload cost $460 billion in salaries.  Respondents whose companies do a good job managing information overload rate technology as a significant help.  Reducing the time wasted dealing with information overload by 15% could save a company with 500 employees more than $2 million a year. Source Date March 2009 Source http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O verload.pdf 11
  • 12. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 3 - The Hidden Coast of Information Work Key Facts  Cutting the wasted time by just 15% through automation would save U.S. enterprises more than $270 billion.  For a company with 500 information employees, that amounts to more than $2 million a year. Source Date March 2009 Source http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O verload.pdf 12
  • 13. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 4 - Benefits of Integrating Paper and Digital Key Facts  If their interactions with paper were eliminated entirely, they could save 40 minutes a day on average.  Companies whose respondents most suffered from information overload could gain an additional 48 minutes. Source Date March 2009 Source http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O verload.pdf 13
  • 14. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 5 - Frequency of Information Overload Key Facts  In a global survey IDC conducted in 2008, we found that 75% of workers in more than 1,000 large organizations said they suffered from information overload.  Of those, 45% said they were ―overwhelmed.‖ Source Date March 2009 Source http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O verload.pdf 14
  • 15. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 6 - Types of Information Causing Information Overload Key Facts  The old information types never seem to go away – paper forms, documents, drawings, data base output, emails, faxes, files and records, and phone messages.  Meanwhile, new forms have sprouted, from text and instant messages to blogs, wikis, social networks, podcasts, digital images and sounds, and even digital ―stickies.‖ 15
  • 16. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Source Date March 2009 Source http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O verload.pdf Article 7 - Industries Facing Information Overload Key Facts Areas that produced the most paper output from their information system seemed to be accounting and finance, administrative and executive departments, marketing, and customer support. Source Date March 2009 Source http://www.xerox.com/downloads/usa/en/n/nr_IDC_White_Paper_on_Information_O verload.pdf 16
  • 17. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 8 - Workers Struggle with Data Overload Key Facts  Information overload is pushing workers to the brink and cutting into workplace productivity, a recent survey by LexisNexis shows.  The survey, which polled 650 employees in a variety of industries, found 68 percent of respondents wished they could spend less time organizing information and more time using it. Another 85 percent said not finding the right information at the right time was a significant time waster, while 62 percent said they spent a lot of time sifting through useless information.  In an 8.89-hour average workday, employees said they spent 7.89 hours conducting research, attending meetings and searching for documents, the survey found.  Mike Walsh, CEO of LexisNexis Legal Markets, said the results should encourage businesses to invest in more efficient research technology and tools.  ―Companies that take action on this issue will realize higher employee productivity and satisfaction,‖ Walsh said in a statement. Source Date March 19, 2008/ December 2007 Source http://www.business-opportunities.biz/2008/03/19/workers-struggle-with-data- overload/ http://www.lexisnexis.com/literature/pdfs/LexisNexis_Workplace_Productivity_Surve y_2_20_08.pdf 17
  • 18. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 9 - How to Dig Out From the Information Avalanche Key Facts  Seven out of 10 office workers in the United States feel overwhelmed by information in the workplace, and more than two in five say they are headed for a data “breaking point,” according to a recently released Workplace Productivity Survey, commissioned by LexisNexis — a provider of business information solutions. Here’s a breakdown of the findings: - 62 percent of professionals report that they spend a lot of time sifting through irrelevant information to find what they need; 68 percent wish they could spend less time organizing information and more time using the information that comes their way. - Workers admit that not being able to lay their hands on the right information at the right time impedes their ability to work efficiently; 85 percent agree that not being able to access the right information at the right time is a huge time-waster. - More than 40 percent of the survey participants indicate an inability to handle future increases in information flow. - While an average workday for white-collar workers is 8.89 hours, the survey finds that on average, 7.89 working hours are used conducting research, attending meetings, and searching for previously created documents. - White-collar professionals spend an average of 2.3 hours daily conducting online research, with one in 10 spending four hours or more on an average day. Source Date March 16, 2008 Source http://www.msnbc.msn.com/id/23636252/ 18
  • 19. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 10 - Mindjet’s Value of an Hour Survey Reports Continued - Dramatic Results Key Facts Mindjet’s global productivity survey of 2,000 knowledge workers has identified key areas where information overload impacts performance and has calculated that individuals can increase productivity by at least 3-5 hours per week, depending on their organisational role and the time they spend on business activities. Conservative estimates by IDC suggest that an organisation with 1,000 employees wastes at least $2.5 million per year by failing to find existing information, searching for outdated information, or recreating information that is outdated and poorly designed. The opportunity costs are even greater, exceeding $15million annually. Highlights of the average number of hours spent globally per week by knowledge workers on the four main business activities include: 9.00 hours a week is spent on preparing, running and summarising actions for meetings while 6.78 hours are spent managing and consolidating information such as documents, emails and web research. For communication and collaboration such as building power point presentations, writing documents with others and communicating the results to colleagues takes 5.74 hours per week. Finally, 10.70 hours is spent on project and task management. European results show that the knowledge worker in the UK is slightly more efficient than the rest of Europe in managing meeting effectiveness, spending 7.83 hours per week as opposed to 9.55 hours in Germany. However, the UK comes last in information management, spending 7.08 hours per week, with France spending 6.69 and Germany 5.91 hours. For communication and collaboration, the UK with 5.38 hours does slightly better than France’s 5.70 hours and worse than Germany’s 4.72 hours. When it comes to project management, Germany is supremely efficient spending 9.15 hours per week against the UK at 11.16 hours and France at 11.33 hours. Source Date February 26, 2008 Source http://www.realwire.com/release_detail.asp?ReleaseID=7900 19
  • 20. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 11 - Mindjet’s Value of an Hour Survey - Average Hours Spent Each Week on Information Management Related Activities Key Facts Mindjet’s global productivity survey has reported that over six-and-a-half hours on average is spent each week on information-management related activities: Source Date February 26, 2008 Source http://www.mindjet.com/pdf/us/wp_successInformationEconomy.pdf 20
  • 21. Information Overload Reported on: 25-03-2010 athandz Contd. Section 2 – Information Clutter Article 12 - Mindjet’s Value of an Hour Survey - Information Overload Impacts Performance Key Facts Based on Mindjet’s global productivity survey of 1,800 knowledge workers, we identified key areas where information overload impacts performance. Source Date February 26, 2008 Source http://www.mindjet.com/pdf/us/wp_successInformationEconomy.pdf 21
  • 22. Information Overload Reported on: 25-03-2010 athandz Section 3 – How Information Overload Affects Employers Article 1 - How Does Information Overload Affect Company Earnings? Information overload can have a devastating effect on company earnings, and the danger is even more detrimental if it goes unrecognized. A company comprised of overloaded individuals is going to experience high turnover, low job satisfaction, missed financial forecasts, unproductive meetings, high error rates in work products, operation at a frantic pace, and high levels of rework. A recent study published in Harvard Business Review found that the average worker today spends 40% of the work day merely processing information. This translates into only 60% of the average work day being spent on true value creation activities. 40% of the payroll costs are spent handling the overload. The more time spent on processing information and not creating value, the less a company earns. Source: http://speedwithpurpose.com/overload.aspx Article 2 - Tech Giants Tackle Information Overload A large corporation in the tech industry has tens or hundreds of thousands of people, and if they lose 28 percent of their time to distraction, that's 28 percent of their time at full pay that they aren't producing any value for the employer. The corporations have to think about that, too. Companies also have to think about balancing their employees' lives. Information overload outside of work, like using a BlackBerry on weekends or vacations, could hinder the work-life balance, leading to decreased worker satisfaction. Zeldes also points out the problem is not just affecting technology companies or large corporations. Source Date: July 18, 2008 Source: http://news.cnet.com/8301-1001_3-9993917-92.html 22
  • 23. Information Overload Reported on: 25-03-2010 athandz Contd. Section 1 – Information Overload Article 3 - How Supervisors can influence workforce productivity Key Facts  The ways in which supervisors spend their time influences their own productivity and that of their workers.  Every 1 point increase in the amount of time a supervisor spends actively supervising his or her employees translates into an increase in the amount of time workers spend on productive activities of 0.2 points.  The analysis also found that for every 1 point reduction in the amount of supervisors’ available time, worker unproductive time falls by 0.1 percentage points.  Manager’s report spending an average of 42% of their time on administrative tasks.  The administrative overload is greatest in Spain and the United Kingdom. Source Date 2008 Source http://www.alexanderproudfoot.com/WorkArea//DownloadAsset.aspx?id=254 23
  • 24. Information Overload Reported on: 25-03-2010 athandz Section 4 - Data Traffic Article 1 - Data Traffic Growing Faster Than Revenues  Growing problem of mobile data consumption vs. revenue: perhaps 100X growth of aggregate data vs. 2X growth of revenue (in the next 5 years)  The rapid growth of data consumption is real, has been observed by many operators.  This growth has been driven by many factors, including flat-rate and modestly-priced data plans. Rapid Increment of Data Traffic Source Date: February 26, 2009 Source: http://imcellular.org/2009/02/26/problem-data-traffic-growing-faster-than-revenues/ 24
  • 25. Information Overload Reported on: 25-03-2010 athandz Contd. Section 4 – Data Traffic Article 2 - Why Is Data Consumption Rapidly Increasing?  More Subscribers on Mobile Internet Data Plans - Developed markets will easily see 40% of subscribers on a data plan by 2012, most on a ―Flat Rate‖ plan that encourages use (without a penalty of incremental cost for incremental use) - This trend is so strong that mobile Internet subscribers are expected to outnumber fixed Internet subscribers in 2011.  More Capable Internet Devices - IPhone has redefined how subscribers can use the mobile Internet, and established that the masses can and will browse, use Location-Based Services, watch YouTube video, download and install applications, and more. - By 2011, 30% of the handsets sold in developed markets will be smartphones.  More Services Used - End Users are consuming more services as a result of better devices and a wider variety of applications. Example, Apple’s App Store, has defined a model of data services on demand that is widely appealing, with 500 M downloads in less than a year of operation, establishing that there is a large market for data services. 25
  • 26. Information Overload Reported on: 25-03-2010 athandz Contd. Section 4 – Data Traffic Source Date: February 26, 2009 Source: http://imcellular.org/2009/02/26/problem-data-traffic-growing-faster-than-revenues/ 26
  • 27. Information Overload Reported on: 25-03-2010 athandz Section 5 - Information Consumption 5.1 U.S Information Consumption  Americans spend a huge amount of time at home receiving information, an average of 11.8 hours per day.  Bytes of information consumed by U.S. individuals have grown at 5.4 percent annually since 1980, far less than the growth rate of computer and information technology performance.  Roughly 3.6 zettabytes (or 3,600 exabytes) of information were consumed in American homes in 2008.  Americans spend 41 percent of our information time watching television, but TV accounts for less than 35 percent of information bytes consumed.  Computer and video games account for 55 percent of all information bytes consumed in the home, because modern game consoles and PCs create huge streams of graphics.  The average American consumes 34 GB worth of content a day, including a whopping 100,000 words of information.  The report clarifies that we don’t necessarily parse a full 100,000 words per day, but that rather astounding figure does cross our eyes and ears each 24-hour interval via multiple channels: the Web, TV, text messaging, radio, video games and more.  The big winner is still television at almost 45 percent of our daily allowance, but the computer is a not-too-distant second at about 27 percent.  In all, we spend about 11.8 hours per day absorbing mass quantities of information, sometimes multitasking in front of multiple screens simultaneously. Hourly Information Consumption 27
  • 28. Information Overload Reported on: 25-03-2010 athandz Contd. Section 5 – Information Consumption Consumption of Words Information Consumption in Compressed Bytes Source Date: December 09, 2009 Source: http://mashable.com/2009/12/09/american-data-diet/ http://hmi.ucsd.edu/pdf/HMI_2009_ConsumerReport_Dec9_2009.pdf 28
  • 29. Information Overload Reported on: 25-03-2010 athandz Contd. Section 5– Information Consumption 5.2 Metadata Article 1 - The Metadata Problem Key Facts  In 2008, non-textual media storage requirements (audio, music, images, and video) were an estimated 16 exabytes. (An exabyte is a billion Gbytes.)  Subscription-based and download media sales totaled $3.3 billion in 2008  British independent TV network broadcaster ITN adds more than 20 hours of broadcast-quality video to its archives every day, and it’s just one of hundreds of global broadcasters doing so.  Web 2.0 users add 20 hours of video to YouTube’s archives every minute.  Currently, none of this media is easily searchable.  Video in particular is hard to search because most of the material is not indexed in a searchable way. Source Date January 21, 2010 Source http://www.edn.com/blog/980000298/post/1780052178.html 29
  • 30. Information Overload Reported on: 25-03-2010 athandz Contd. Section 5– Information Consumption 5.3 Data Superabundance Article 1 - Enterprise Data Growth Key Facts  Enterprise Data Growth in the next 5 years is estimated to be 650%  80% of this data will be unstructured data  40 exabytes* of unstructured new information will be generated worldwide in 2009  The estimated average storage capacity growth in Australia in 2009 is 60%… in 2010 they estimate it will be 62% Source Date November 16, 2009 Source http://blog.une.edu.au/robbi/2009/11/16/enterprise-data-growth/ Article 2 - Attacking the Growth Barrier of Data Storage Key Facts  IDC estimated the amount of data stored worldwide in 2007 was nearly 300 exabytes, and that this number will grow ten-fold by 2011.  The data storage, archive, and backup of large volumes of digital content is quickly creating demands for multi-petabyte storage systems (equal to thousands of terabytes or millions of gigabytes), but today’s storage industry -- and its technological approach -- is not set up to effectively meet this demand.  The beauty of dispersal is that as storage increases, the cost per unit of storage does not. Dispersal also meets the same reliability target.  The table below best illustrates a generic example of cost savings between dispersal and replication when fixing the cost at a representative, but not necessarily actual, ―raw” storage cost of $2.75 per GB. Source Date September 10, 2009 Source http://www.wwpi.com/index.php?option=com_content&view=article&catid=99:cov er-story&id=7726:attacking-the-growth-barrier-of-data-storage&Itemid=2701018 30
  • 31. Information Overload Reported on: 25-03-2010 athandz Contd. Section 5– Information Consumption Article 3 - Growth of Stored Data Key Facts  The amount of data stored within corporate servers, workstations and user's machines continues to grow.  The dramatic growth of stored data is fueled by three trends:  Increasing capacity of storage media,  Decreasing costs per MB,  Emerging role of information technology within firms. Source Date N/A Source http://www.deepspar.com/wp-data-loss.html 31
  • 32. Information Overload Reported on: 25-03-2010 athandz Feedback Any feedback on the answer provided would be greatly appreciated by the researcher and athandz team. Want to know more details about our RESEARCH SERVICES? Please contact nadee@athandz.com 32