Goutama Bachtiar is an IT advisor, auditor, consultant and trainer with 16 years of experience working with IT governance, risk, security, compliance and management. He has advised 6 companies and written over 300 publications. The presentation discusses opportunities in data analytics, big data, cloud computing and the Internet of Things. It also addresses management concerns regarding business productivity, alignment between IT and business strategies, and ensuring reliable and efficient IT systems. Emerging roles for IT professionals are also discussed such as chief technology officer, chief information officer and other C-level IT roles.

1. Riding and Capitalizing
the Next Wave of
Information Technology
Goutama Bachtiar
IT Advisor, Auditor, Consultant and Trainer
@goudotmobi

2. My Professional Profile
 16 years of experience with exposure in IT Governance,
Risk, Security, Compliance, Assurance and Management.
 Advisor at six companies.
 ISACA International Subject Matter Expert, Certification
Exam and QAE Developer.
 Project Management Institute International Program
Evaluator, Certification Exam and Study Materials
Developer.
 Reviewer Panel at three international journals.
 Have audited and consulted 30+ companies.
 Have written, edited and reviewed 300+ manuscripts,
articles and pieces in ICT, business and management
spaces.
 Have attained 65 international certifications under his belt.
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3. To d a y ’s Se s s i o n
 IT and Management: Exploring Opportunities
and Overcoming Challenges
 Addressing Management Concerns and
Influencing Factors
 Valuing Agility and Consumerization
 Comprehending Strategic Planning and
Competitive Models
 Ever Wonder How Important IT to Your (IT)
Careers?
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4. IT AND MANAGEMENT:
EXPLORING THE OPPORTUNITIES
AND
OVERCOMING THE CHALLENGES
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5. Data Analytics
Specialized software, capabilities, and components
exploring huge volumes of data to provide greater
insight and intelligence rapidly.
It includes:
Locating and collecting reliable data from multiple
sources in various formats.
Preparing data for analysis by organizing,
standardizing, removing duplicates and data
cleansing.
Performing correct and verifying analyses, and in the
end do the reporting.
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6. What’s Data Analytics for?
To help organizations achieving business
outcomes:
• Grow their customer base
• Retain the most profitable customers
• Continuously improve operational efficiency
• Transform and automate financial processes
• Detect and deter fraud
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7. Real World Examples
Overstock.com
“We’re not trying to use social media as
a sales piece as much as an information
gathering piece”.
“Finding out what our customers want;
whether they like a product; and how
could we sell it better”.
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8. Real World Examples (cont’d)
Best Buy.
Electronics retailer Best Buy learned
how unpopular the restocking fees were
through social media.
They changed its product-return policies,
eliminating fees that were hurting sales.
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9. Real World Examples (cont’d)
Starbucks.
Coffee retailer Starbucks prepared to monitor
customers’ tweets on a new coffee flavor on the
day it was introduced by capitalizing on Social
Media Analytics.
A huge majority of tweets were about the
complaints on the coffee’s higher price rather than
its’ intense taste.
By the next day, they had dropped the price.
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10. Data Analytics Challenges
 “Messy” data
Data (e.g., tweets, posts, clickstreams,
images, videos, audios) that hardly be
organized in a way that a
computer/application/software could easily
process.
 Data sources
Smartphones, feature phones, social media
(social networks, micro blogs, forum, mailing
lists), wearable devices, other mobile devices
and even more machines (TV, AC,
Refrigerator, etc).
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11. Structured
Data
Unstructured
Data
Semi-
Structured
Data
Big Data
Introducing Big Data

12. How “BIG” are They?
Source Type Big Data Usage Popular Sources
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Social Data
• Provides insight for companies on
consumer behavior and buying patterns
• Can be integrated with CRM (Customer
Relationship Management) data for
analysis of customer behavior
Facebook, Twitter, Google+,
and
LinkedIn
Machine Data
• Can be real-time data from sensors that
track parts and monitor machinery, also
called the Internet of Things
• Includes web logs that can track user
behavior online
Location data such as NFC
and
RFID chip readings
Transactional
Data
• Helps large retailers and B2B (Business
to Business) companies in customer
segmentation
• Helps to track data transactions related
to product IDs, prices, payment
information, manufacturer date, etc.
Retail websites
such as Amazon.
Com, eBay and Domino’s
pizza chain
Credit: GreyCampus

13. Benefits of Big Data
Big Data Analytics Benefits Proportion Of Businesses Reporting Benefits
Better social Influencer marketing 61%
More accurate business insights 45%
Segmentation of customer base 41%
Identifying sales and market opportunities 38%
Automated decisions for real-time process 37%
Detection of fraud 33%
Quantification of risks 30%
Better planning and forecasting 29%
Identifying cost drivers 29%
Credit: GreyCampus

14. Cloud Computing
• Method of providing shared computing resources
that include applications, storage, computing,
networking, development, and deployment
platforms, as well as business processes.
• Offers easy availability of computing resources to
an application
• Allows us paying for these services accordingly,
depending on what and how much we use.
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15. Illustrating Cloud Computing
Working of the Cloud
Computing Model
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Credit: GreyCampus

16. Internet of Things (IoT)
“Things having identities and virtual
personalities operating in smart spaces using
intelligent interfaces to connect and
communicate within social, environmental,
and user contexts”. ~ IoT in 2020
“A proposed development of the internet in
which everyday objects have network
connectivity, allowing them to send and
receive data.” ~ Oxford Dictionary, 2013
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17. 17
IoT: Smart Mirror
Credit: Vala Afshar

18. 18
IoT: Blood Pressure Monitor

19. 19
IoT: Smart Garbage Cans

20. 20
IoT: Blood Pressure Monitor

21. IoT: Smart Home
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22. IoT: Smart Car
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23. IoT: E-Healthcare 23

24. Summing IoT Up
From ANY TIME, ANY PLACE connectivity
for ANYONE, we have CONNECTIVITY
for ANYTHING.
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25. ADDRESSING
MANAGEMENT CONCERNS AND
INFLUENCING FACTORS
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26. Business, Information and IT
 Business performance relies on quality of
information and IT Capabilities.
 An organization’s accomplishment depends
on what IT can do for them.
 Business and technology teams need to
align, collaborate and synergize on smart,
cost-effective, and collaborative data
management.
 Implementation is the most influential key
success factor.
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27. Management Concerns and Influential ITs
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28. Business Productivity and Cost
Reduction
 Increasing level of output, while
maintaining the same level of inputs.
 Maintaining level of output, while
reducing the level of inputs.
 Combination of the above two.
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29. IT and Business Alignment
 Starting from Organization Strategic Plan
towards IT Strategic Plan.
 IT division/department have to understand
organizational objectives, goals, visions,
missions, strategies, risks, and
opportunities.
 While the business must understand IT’s
capability and capacity.
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30. Business Agility and Time to Market
 Aggregatively, the markets have yet to
fully recovered from global recession.
 An agile enterprise, with the ability to
adapt and respond rapidly, are the magic
words.
 Furthermore, Agile becomes pretty
common Project Management
methodology.
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31. Business Process Reengineering (BPR)
 BP is a series of tasks performed by
people/systems designed to produce a
specific output/outcome.
 Examples: customer ordering process,
credit approval and shipping a product.
 1) Eliminating unnecessary non–value
added processes, 2) simplify and 3)
automate remaining processes to reduce
cycle time, labor, and costs.
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32. IT Reliability and Efficiency
 Accuracy, availability, security, and
accessibility of data and information
systems is a must.
 Why? So the executives and
managements will put their trusts and
reliance within the systems.
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33. Business Intelligence (BI)
 Aimed to run the business more efficiently,
identify trends and relationships in
organizational data, create/capitalize the
advantage of business opportunities.
 Required integration, computation, and
analysis of massive data repositories.
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34. Cloud Computing
 As known as cloud infrastructure or cloud
services.
 Various computing and network
arrangements.
 Enable anyone or any organization to
deploy tools that can scale on demand to
serve as many users as necessary.
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35. Cloud Delivery Models
Cloud Model Description
IaaS
• Infrastructure as a Service (IaaS) Infrastructure refers to
hardware, storage, and network. This type of cloud can be used
as public and private both.
• Examples: virtual machines, load balancers, and network
attached storage.
PaaS
• Provides a platform to write and run user’s applications.
• Platform refers to the operating system, which is a collection of
middleware services and software development and deployment
tools.
• Examples: Windows Azure and Google App Engine (GAE).
SaaS
• Provides software that can be accessed from anywhere.
• They are offered on monthly or yearly contracts.
• For SaaS to work, the infrastructure (IaaS) and the platform
(PaaS) must be in place.
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Credit: GreyCampus

36. Enterprise Resource Planning (ERP)
 IT
Systems/Software/Services/Applications
supporting essential business processes
and operations.
 Commercial or open-source packages
implemented as modules.
 Examples of modules are: Sales and
Distribution, Material Management,
Human Capital Management, Finance and
Controllership.
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37. Software as a Service (SaaS)
 Pay-per-use arrangement.
 As an option, instead of buying and
installing enterprise apps, users access it
from a SaaS vendor over a network via a
browser.
 Anytime, anywhere as long as the internet
is there.
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38. Collaboration and Workflow Tools
 Power people to work together and
collaborate in (more) organized ways.
 Allow us to manage our tasks more
efficiently and effectively.
 Examples: Google Docs, Microsoft
Share Point, Office 365, and Skype.
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39. VALUING IT AGILITY AND
CONSUMERIZATION
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40.  Agile is more than just quick response
 Responsive
IT capacity can be easily scaled up or
down as needed.
 Flexible
Ability to quickly integrate new business
functions.
Easily (re)configure software or apps.
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What Agile is All About

41.  The migration of consumer technology into
enterprise environments.
 Driven by mobile devices, data plan, apps,
platforms, social media, and telecommuting.
 Above drivers become part of our personal
and professional life.
 Flexi work time and flexi working environment
are adopted rapidly.
 Bring Your Own Device (BYOD).
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IT Consumerization

42. COMPREHENDING
STRATEGIC PLANNING
AND COMPETITIVE MODELS
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43. Defines plan on how a business will achieve its
mission, goals, and objectives.
 Long-term direction of our business
 Overall plan for deploying our resources
 List down any trade-offs
 Identify any resources to share
 Our position compared to competitors
 How to achieve competitive advantage over
rivals in order to maximize profitability
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Let’s Start with a Strategy

44.  Scanning and reviewing of political, social,
economic, and technical factors of an
organization.
 SWOT
Evaluation of strengths and weaknesses
(internal) and opportunities and threats
(external).
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Then Strategic Analysis

45. Take this as an Example
• Strengths: market leader; highly-achiever
workforce; sophisticated business software
• Weaknesses: assurance, risk and
compliance;
• Opportunities: Positive economic outlook;
a developing market; ability to create a new
market, product or service
• Threats: Price wars by competitors; Low
barrier to entry
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46. Porter’s Competitive Forces Model
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47. Here Comes the Strategic Planning
“A series of strategic activities an
organization selects and arranges its
businesses or services to achieve goals
and objectives even when unexpected
events disrupt its businesses, products, or
services.”
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48. EVER WONDER HOW IMPORTANT IT
TO YOUR (IT) CAREERS?
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49. What IT Have Been Doing These
Days?
 IT creates (new) markets, (new)
businesses, (new) products, and (new)
careers.
 New technologies such as 4G networks,
wearable devices, Machine-to-Machine
communication, embedded sensors, IPv6.
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50. Top Growing Occupations 2010-2020
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51. Chief Technology Officer (CTO)
 Evaluate the latest and most innovative
technologies.
 Determine how they could be implemented
for competitive advantage.
 Develop technical standards, deploy
technology, and supervise resources who
deal with the daily IT operational activities
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52. Chief Information Officer (CIO)
 While CTOs are more concerned with
technology itself, whereas CIOs are much
more concerned with biz applications and
how to manage them.
 Manage businesses IT systems and
functions, creates and delivers IT
strategies.
 Focus more onto the IS and employees
within their organizations.
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53. Other CxOs
 Chief Information Security Officer (CISO)
Identifying, developing, implementing and
maintaining Information Security policies,
processes and procedures across the
organizations.
 Chief Data Privacy Officer (CDPO)
Responsible for Data Privacy both
customers and employees within their
organizations.
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54. References
Information Technology for Management:
Advancing Sustainable, Profitable Business
Growth 9th Edition, authored by Turban,
Volonino and Wood, published by John Wiley
and Sons, Inc., 2013.
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55. Thank You!
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