SlideShare uma empresa Scribd logo
1 de 16
What is Data
Data is a stream of raw facts representing things
or events that have happened.
In ICT, we usually say that data is made up from
four basic types:
• Numbers
• Text
• Images
• Sound
Storing Data
Inside the computer, however, all data is stored as
numbers:
• Numbers – are stored as numbers, obviously!
• Text characters are stored as a code that represents each –
e.g. ASCII
• Images are stored as numbers representing the amounts of
red, green and blue for each pixel
• Sounds are stored as numbers representing the loudness at
given intervals
How are the numbers represented
All data types are transformed into a uniform
representation when they are stored in a computer
and transformed back to their original form when
retrieved. This universal representation is called a
bit pattern.
Bits and Bytes
• Each of the 0s and 1s is called a bit – binary
digit
• Eight bits together form a byte
• The longest number a computer can handle in
one go is called a word – e.g. a 32-bit computer
has a 32-bit word length
• 1024 bytes is a kilobyte, 1024 kilobytes is a
megabyte, 1024 megabytes is a gigabyte, etc.
Storage of different data types
Storing Numbers
A number is changed to the binary system before being
stored in the computer memory. For e.g. 39 is stored as:
2

39

1

2

19

1

2

9

1

2

4

0

2

2

0

1

Binary equivalent of 39 is : 100111
Storing Text
A section of text in any language is a sequence of symbols
used to represent an idea in that language.
To store text and symbols we use the ASCII codes which
is further coded to binary equivalent.
For example: Text such as “CATS”, which is made up from four
symbols, can be represented as four n-bit patterns, each pattern
defining a single symbol and having certain numeric value in
ASCII..
Storing Audio
Audio is not countable and Continuous data, Audio is an

example of analog data.
For audio we select only a finite number of points on the
analog signal, measure their values, and record them, this
records are known as sample.
The quantized sample values need to be encoded as bit
patterns, to store in computer memory.
Storing Images
Images are stored in computers using two

different techniques: Raster graphics and Vector
graphics.
These graphics are stored in form of Pixel, Pixel

is picture element.
To store Pixel there be a certain bit pattern.
Information
• Information is data that has been processed to make it
meaningful and useful

• Data + Meaning = Information
• For storing Information in digital organization we
require a tool called database.
Database
A centralized and structured set of data stored on a

computer system.
The database provides facilities for retrieving, adding,
modifying and deleting the data when required.
A database is usually managed by a Database
Administrator (DBA).
Traditional Database are organized by fields, records
and files.
Data Management
 Without data and the ability to

process it, an organization
could not successfully
complete most business
activities
 Data consists of raw facts
 For data to be transformed
into useful information, it
must first be organized in a
meaningful way
Digital Information Systems
 Digital information system (DIS): single set of hardware, software,

databases, telecommunications, people, and procedures configured to collect,
manipulate, store, and process data into information
DIS components
– Hardware: computer equipment used to perform input, processing, and
output activities
– Software: computer programs that govern the operation of the computer
– Database: organized collection of facts and information
– Telecommunications: electronic transmission of signals for
communications
– Networks: connect computers and equipment in a building, around the
country, and around the world
Business Information Systems
Most common types of information systems used in
business organizations
 E-commerce: any business transaction executed electronically

between parties
 Transaction processing system (TPS): organized collection of
people, software, databases, and devices used to record
completed business transactions
 Management Information Systems (MIS): provide routine
information to managers and decision makers
 Decision support system (DSS) : used to support problemspecific decision making
Thank You

Mais conteúdo relacionado

Mais procurados (8)

Analog and Digital Computers
Analog and Digital ComputersAnalog and Digital Computers
Analog and Digital Computers
 
Trends in Database Management
Trends in Database ManagementTrends in Database Management
Trends in Database Management
 
Electronic Data Processing
Electronic Data ProcessingElectronic Data Processing
Electronic Data Processing
 
Understanding EDP (Electronic Data Processing) Environment
Understanding EDP (Electronic Data Processing) EnvironmentUnderstanding EDP (Electronic Data Processing) Environment
Understanding EDP (Electronic Data Processing) Environment
 
Number systems
Number systemsNumber systems
Number systems
 
Topic 12 issues and trends in ed tech
Topic 12 issues and trends in ed techTopic 12 issues and trends in ed tech
Topic 12 issues and trends in ed tech
 
Week2 chapter 02_2.1_system_concept_2015 (1)
Week2 chapter 02_2.1_system_concept_2015 (1)Week2 chapter 02_2.1_system_concept_2015 (1)
Week2 chapter 02_2.1_system_concept_2015 (1)
 
Introduction To Computer 1
Introduction To Computer  1Introduction To Computer  1
Introduction To Computer 1
 

Semelhante a Data and information in digital organisation

Introduction to programming concepts
Introduction to programming conceptsIntroduction to programming concepts
Introduction to programming concepts
hermiraguilar
 
Chapter 2Hardware2.1 The System Unit2.2 Data and P
Chapter 2Hardware2.1 The System Unit2.2 Data and PChapter 2Hardware2.1 The System Unit2.2 Data and P
Chapter 2Hardware2.1 The System Unit2.2 Data and P
EstelaJeffery653
 
13001620124_AashishAgarwal_Data representation.text and numbers.pdf
13001620124_AashishAgarwal_Data representation.text and numbers.pdf13001620124_AashishAgarwal_Data representation.text and numbers.pdf
13001620124_AashishAgarwal_Data representation.text and numbers.pdf
ssusercf82c42
 
Chapter 2 computer system
Chapter 2 computer systemChapter 2 computer system
Chapter 2 computer system
Aten Kecik
 
02.hdwr soft
02.hdwr soft02.hdwr soft
02.hdwr soft
SCHOOL
 
Hardware and systems technology
Hardware and systems technologyHardware and systems technology
Hardware and systems technology
Wulax37
 

Semelhante a Data and information in digital organisation (20)

Chapter 2 computer system
Chapter 2 computer systemChapter 2 computer system
Chapter 2 computer system
 
Chapter 2
Chapter 2Chapter 2
Chapter 2
 
Introduction to programming concepts
Introduction to programming conceptsIntroduction to programming concepts
Introduction to programming concepts
 
Data Storage By ZAK
Data Storage By ZAKData Storage By ZAK
Data Storage By ZAK
 
Understanding Computers - Introduction to Computers
Understanding Computers - Introduction to ComputersUnderstanding Computers - Introduction to Computers
Understanding Computers - Introduction to Computers
 
Introduction to-computers
Introduction to-computersIntroduction to-computers
Introduction to-computers
 
Chapter 2Hardware2.1 The System Unit2.2 Data and P
Chapter 2Hardware2.1 The System Unit2.2 Data and PChapter 2Hardware2.1 The System Unit2.2 Data and P
Chapter 2Hardware2.1 The System Unit2.2 Data and P
 
13001620124_AashishAgarwal_Data representation.text and numbers.pdf
13001620124_AashishAgarwal_Data representation.text and numbers.pdf13001620124_AashishAgarwal_Data representation.text and numbers.pdf
13001620124_AashishAgarwal_Data representation.text and numbers.pdf
 
Introduction to computer hardware
Introduction to computer hardwareIntroduction to computer hardware
Introduction to computer hardware
 
Chapter 2 computer system
Chapter 2 computer systemChapter 2 computer system
Chapter 2 computer system
 
02.hdwr soft
02.hdwr soft02.hdwr soft
02.hdwr soft
 
Hardware and Software
Hardware and SoftwareHardware and Software
Hardware and Software
 
Computer fundamentals
Computer fundamentalsComputer fundamentals
Computer fundamentals
 
Hardware and systems technology
Hardware and systems technologyHardware and systems technology
Hardware and systems technology
 
La2 computer systems
La2 computer systemsLa2 computer systems
La2 computer systems
 
La2 computer systems
La2 computer systemsLa2 computer systems
La2 computer systems
 
TLE – ICT 8 Digital Mensuration II.pptx
TLE – ICT 8 Digital Mensuration II.pptxTLE – ICT 8 Digital Mensuration II.pptx
TLE – ICT 8 Digital Mensuration II.pptx
 
Current trends in DBMS
Current trends in DBMSCurrent trends in DBMS
Current trends in DBMS
 
Understanding Computers - Today and Tomorrow
Understanding Computers - Today and TomorrowUnderstanding Computers - Today and Tomorrow
Understanding Computers - Today and Tomorrow
 
System concept and hardware
System concept and hardwareSystem concept and hardware
System concept and hardware
 

Último

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 

Último (20)

Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024MINDCTI Revenue Release Quarter One 2024
MINDCTI Revenue Release Quarter One 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
Emergent Methods: Multi-lingual narrative tracking in the news - real-time ex...
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 

Data and information in digital organisation

  • 1.
  • 2. What is Data Data is a stream of raw facts representing things or events that have happened. In ICT, we usually say that data is made up from four basic types: • Numbers • Text • Images • Sound
  • 3. Storing Data Inside the computer, however, all data is stored as numbers: • Numbers – are stored as numbers, obviously! • Text characters are stored as a code that represents each – e.g. ASCII • Images are stored as numbers representing the amounts of red, green and blue for each pixel • Sounds are stored as numbers representing the loudness at given intervals
  • 4. How are the numbers represented All data types are transformed into a uniform representation when they are stored in a computer and transformed back to their original form when retrieved. This universal representation is called a bit pattern.
  • 5. Bits and Bytes • Each of the 0s and 1s is called a bit – binary digit • Eight bits together form a byte • The longest number a computer can handle in one go is called a word – e.g. a 32-bit computer has a 32-bit word length • 1024 bytes is a kilobyte, 1024 kilobytes is a megabyte, 1024 megabytes is a gigabyte, etc.
  • 6. Storage of different data types
  • 7. Storing Numbers A number is changed to the binary system before being stored in the computer memory. For e.g. 39 is stored as: 2 39 1 2 19 1 2 9 1 2 4 0 2 2 0 1 Binary equivalent of 39 is : 100111
  • 8. Storing Text A section of text in any language is a sequence of symbols used to represent an idea in that language. To store text and symbols we use the ASCII codes which is further coded to binary equivalent. For example: Text such as “CATS”, which is made up from four symbols, can be represented as four n-bit patterns, each pattern defining a single symbol and having certain numeric value in ASCII..
  • 9. Storing Audio Audio is not countable and Continuous data, Audio is an example of analog data. For audio we select only a finite number of points on the analog signal, measure their values, and record them, this records are known as sample. The quantized sample values need to be encoded as bit patterns, to store in computer memory.
  • 10. Storing Images Images are stored in computers using two different techniques: Raster graphics and Vector graphics. These graphics are stored in form of Pixel, Pixel is picture element. To store Pixel there be a certain bit pattern.
  • 11. Information • Information is data that has been processed to make it meaningful and useful • Data + Meaning = Information • For storing Information in digital organization we require a tool called database.
  • 12. Database A centralized and structured set of data stored on a computer system. The database provides facilities for retrieving, adding, modifying and deleting the data when required. A database is usually managed by a Database Administrator (DBA). Traditional Database are organized by fields, records and files.
  • 13. Data Management  Without data and the ability to process it, an organization could not successfully complete most business activities  Data consists of raw facts  For data to be transformed into useful information, it must first be organized in a meaningful way
  • 14. Digital Information Systems  Digital information system (DIS): single set of hardware, software, databases, telecommunications, people, and procedures configured to collect, manipulate, store, and process data into information DIS components – Hardware: computer equipment used to perform input, processing, and output activities – Software: computer programs that govern the operation of the computer – Database: organized collection of facts and information – Telecommunications: electronic transmission of signals for communications – Networks: connect computers and equipment in a building, around the country, and around the world
  • 15. Business Information Systems Most common types of information systems used in business organizations  E-commerce: any business transaction executed electronically between parties  Transaction processing system (TPS): organized collection of people, software, databases, and devices used to record completed business transactions  Management Information Systems (MIS): provide routine information to managers and decision makers  Decision support system (DSS) : used to support problemspecific decision making