It has been said that Mobiles +Cloud + Social + Big Data = Better Run The World. IBM has invested over $20 billion since 2005 to grow its analytics business, many companies will invest more than $120 billion by 2015 on analytics, hardware, software and services critical in almost every industry like ; Healthcare, media, sports, finance, government, etc. It has been estimated that there is a shortage of 140,000 – 190,000 people with deep analytical skills to fill the demand of jobs in the U.S. by 2018. Decoding the human genome originally took 10 years to process; now it can be achieved in one week with the power of Analytic and BI (Business Intelligence). This lecture’s Key Messages is that Analytics provide a competitive edge to individuals , companies and institutions and that Analytics and BI are often critical to the success of any organization. Methodology used is to teach analytic techniques through real world examples and real data with this goal to convince audience of the Analytics Edge and power of BI, and inspire them to use analytics and BI in their career and their life.

1. University of Michigan-Flint
Flint MI USA

2. 5/7/2014 2Professor Lili Saghafi

3. “Over millions of years, nature has proven that those
who adapt best to change are those who survive”

4. Agenda
• Analytic
• Big Data
• Real Time Enterprise Management
• BI
• Predictive Forecasting
• Augmented Reality
• Visual Intelligence
• Conclusion

5. Data is Powerful and Everywhere
• 2.7 Zettabytes of electronic data exist in the world and
the digital universe today (source)
• This is equal to the storage required for more than 200
billion HD movies
• Every day, 2.5 billion gigabytes of data are created
(source)
• 90% of all the data in the world has been generated in
the last two years (source)
• New data is produced at an exponential rate.
• Decoding the human genome originally took 10 years
to process; now it can be achieved in one week

7. Accessing Data is POWER

8. Decoding the human genome originally took 10 years to process;
now it can be achieved in one week

9. Data and Analytics are Useful
• Estimated that there is a shortage of 140,000 – 190,000
people with deep analytical skills to fill the demand of jobs in
the U.S. by 2018
• IBM has invested over $20 billion since 2005 to grow its
analytics business
• Companies will invest more than $120 billion by 2015 on
analytics, hardware, software and services Critical in almost
every industry
– Healthcare, media, sports, finance, government, etc.

12. What is Analytics?
• The science of using data to build models that
lead to better decisions that add value to
individuals, to companies, to institutions.

13. Why sustainability and innovation are connected

14. This lecture
Key Messages:
• Analytics provide a competitive edge to
individuals , companies and institutions
• Analytics are often critical to the success of a
company
Methodology: Teach analytics techniques through
real world examples and real data
My Goal: Convince you of the Analytics Edge, and
inspire you to use analytics in your career and
your life

15. IBM Watson
– A Grand Challenge in BI
• IBM Research strives to push the limits of science
• Deep Blue – a computer to compete against the best
human chess players
– A task that people thought was restricted to human intelligence
• Blue Gene – a computer to map the human genome
– A challenge for computer speed and performance
• In 2005, they decided to create a computer that could
compete at Jeopardy!, a popular game show Jeopardy! asks
the contestants to answer cryptic questions in a huge
variety of categories
• Generally seen as a test of human intelligence, reasoning,
and cleverness

16. Deep Blue , a chess computer

17. Blue Gene, computer to map the
human genome

18. Watson
• Watson is a supercomputer with 3,000
processors and a database of 200 million pages
of information
• A massive number of data sources
– Encyclopedias, texts, manuals, magazines, Wikipedia,
etc.
• Used over 100 different analytical techniques for
analyzing natural language, finding candidate
answers, and selecting the final answer

19. IBM's Watson Supercomputer
Destroys Humans in Jeopardy

20. So what is the Analytic edge?
• Watson combined many algorithms to
increase accuracy and confidence
• Approached the problem in a different way
than how a human does
• Deals with massive amounts of data, often in
unstructured form
– 90% of data in the world is unstructured

21. eHarmony
• Online dating site focused on long term
relationships
• Takes a scientific approach to love and
marriage
• Nearly 4% of US marriages in 2012 are a
result of eHarmony
• Has generated over $1 billion in cumulative
revenue

22. Finding Successful Matches
• First predict if users will be compatible
– Use 29 different “dimensions of personality”
• Then need to find matches for everyone
– Members in more than 150 countries
– Since launching in 2000, more than 33 million
members
• They use regression and optimization
– Operates eHarmony Labs, a relationship research
facility

23. The Data
• eHarmony Collect data through 436 questions
• About 15,000 people take the questionnaire
each day

24. So what is the Analytic edge?
• Relies much more on data than other dating
sites
• Suggests a limited number of high quality
matches
– Users don’t have to search and dig through profiles
• eHarmony has successfully leveraged the power
of analytics to create a successful and thriving
business
– It covers 14% of US online dating market

28. Why Analytic ?
• 71 million Indian population of face book
users , 16,314,838 (2011) Delhi, Population
• 80 million LinkedIn users from India
• 4 billion mobile phones users in the world
(2011)

29. So...
• there are more mobile phones in the world
than there are toothbrushes.
• more people own a mobile phone on the
planet than own a toothbrush.

30. Did somebody say “ubiquity”?!
the state or capacity of being everywhere, especially at the
same time; omnipresence:

32. One of the best things about mobile marketing is that
you can send SMS, banner ad and other campaigns
only to people who are within close proximity to your
store.

33. Things changed
• More mobile device than people
• In the morning you Rollover to mobile than
your spouse

34. Top Social Media Platforms to generate DATA
and Market the brands

35. • Just add Analytic to
almost anything see
what is happening

36. Just add Analytic

38. Analytic Result for toothbrush

40. Nicke’s Analytic

42. Digital medicine has the potential to track patients and improve
on this number.

46. Why Analytic ?.... Email Valet
• A CEO’s receive on average 500 emails a day
Handing over your car keys to a complete stranger is an accepted risk for
the benefit of valet parking. But what about handing over access to your
inbox for the benefit of increased productivity?
• Researchers at Stanford University are finding that people could be willing
to do just that—with the right security in place.
• EmailValet, a graduate research project at Stanford, finds remote
assistants through the crowdsourcing-for-hire Web site oDesk, then allows
them to read a user’s messages and create a to-do list from the
information they’ve read. Like some valet keys that allow parking
attendants to open car doors and start the engine but prevent them from
getting into the glove compartment or the trunk, EmailValet lets users
select what kinds of e-mails their assistants can read.
• Creates new jobs (Uses Crowdsourcing to Organize Inboxes Email Valet
https://sites.google.com/site/professorlilisaghafi/classroom-
news/stanfordresearchprojectusescrowdsourcingtoorganizeinboxes
• HR can use this data to create new jobs

47. BIG DATA
• Migration to Delhi from the rest of India
continues (as of 2013), contributing more to
the rise of Delhi's population than the birth
rate, which is declining.
• The Population of Delhi is growing at a rapid
rate in last 20 years.

50. What is the use of these data?
• These Data can change the product of a
business
• 3 Industrial Revolution, the third one is IT
– First industrialization
– Second was electricity
– Third is IT

51. Future Jobs

52. Smarter Jobs

53. smarter software
• Everything in the factories of the future will be
run by smarter software.
• Digitisation in manufacturing will have a
disruptive effect every bit as big as in other
industries that have gone digital, such as
office equipment, telecoms, photography,
music, publishing and films.
• Launching novel products will become easier
and cheaper.

54. "Third Industrial Revolution is IT"
• How the Internet, Green Electricity, and 3-D Printing
change the future
• Jeremy Rifkin, Writer and Economist
– Internet technology and
– renewable energy are
– merging to create a powerful "Third Industrial Revolution."
• He asks us to imagine hundreds of millions of people
producing their own green energy in their homes,
offices, and factories, and sharing it with each other in
an "energy internet," just like we now create and share
information online.

55. Real Time Enterprise Management
• Though not particularly well defined, generally
accepted goals of an RTE include:
1. Reduced response times for partners and customers
2. Increased transparency, for example sharing or
reporting information across an enterprise instead
of keeping it within individual departments
3. Increased automation, including communications,
accounting, supply chains and reporting
4. Increased competitiveness
5. Reduced costs

56. RTE, Real Time Enterprise
Management
• The importance of RTE in different industry
like;
• Flight corporations
• Healthcare

57. Key texts of 1949 ad:
• “Face-to-face conferences
through television will be held
coast-to-coast, and intricate
calculations of quotas or sales by
territories will be turned out at
the touch of an assistant’s finger.
Records will appear as if by magic
from files automatically operated
in the electronic age ahead.”
• “Television/telephone devices
will eliminate distances”
• “All figuring will be done by
miraculous electronic devices”.
Sure sounds like today’s analytics to
me!

58. Big Data & BI
• 1 Billion Network Users
• 15 Billion Web Enabled Device
• Data doubling every 18 months , during past
18 hours the data that has been created is
more than the history of human being until
2003

59. Data Quality
Data Integration
Data Warehousing
Master Data Mgt
Meta Data Mgt
Business Intelligence
Top-to-bottom
visibility required

60. Mobiles +Cloud + Social + Big Data =
Better Run The World
• Disease / Cancer Solution
• Detection Of Fraud , 80% of Fraud can be prevented
• Producing Education through Web , Combine Mobile +
Cloud can be great for teaching
• Finding solution to the world’s problems
• Computational Sustainability
– computer science applied to sustainability problems. Its vision is
that computer scientists can — and should — play a key role in increasing
the efficiency and effectiveness in the way we manage and allocate our
natural resources, while enriching and transforming Computer Science.

61. • What causes the most death and disability in each country?
• Compare how a given set of 21 cause groups affects specific
age groups in countries in terms of death and disability.
• Change the country, year, metric, and sex to view results for
absolute numbers, rates, and percentages.
• Also, further explore the cause groups by viewing specific
diseases, injuries, or risk factors within them. (DALYS ,
Disability Adjusted life years)

65. Padmapper

66. Applications for Data Stewards

67. “Computers are useless.
- Pablo Picasso
They can only give
you
answers.”

68. Information
Strategy
Management
Finance
Business Process
Best
practice
Collaboration
Knowledge
Management
Implement New Strategy Integrate AcquisitionLaunch Product
Intelligence = Information + PEOPLE

69. IT Challenge
• Product Cycle Shorten
• Unpredictability
• Need to replan faster
• Predication Future
• Respond to Market
• Focus from PROCESS to People
• Data Doubles every 18 Months
• Hyper Connected People in Real Time
interacting in an unstructured way

70. Big Data Example
• Cricket match and how they collect data and
social interaction and selling in real time to
area of interest

73. Top 5 Business Intelligence and Analytics
Software Vendors, Worldwide, 2012-2013
(Millions of Dollars)
Source: Gartner (April 2014)
Company 2013
Revenue
2013
Market
Share (%)
2012
Revenue
2012-2013
Growth
(%)
SAP 3,057.0 21.3 2,902.0 5.3
Oracle 1,994.0 13.9 1,952.0 2.1
IBM 1,820.0 12.7 1,735.0 4.9
SAS
Institute
1,696.0 11.8 1,600.0 6.0
Microsoft 1,379.0 9.6 1,190.0 15.9
Others 4,422.0 30.8 3,932.0 12.5
Total 14,368.0 100.0 13,311.0 7.9

75. SAP & Big Data
• HANA = OLTP , OLAP can run IN-Memory
database and create the next generation
business platform
• SAP HANA, the in-memory data platform for
real-time business, is a game changer for
companies big and small.
• It analyzes huge amounts of data in
milliseconds, not hours.

76. SAP ON SUITE
• Watch how SAP HANA provides immediate
results from Big Data

77. WORKING
SIMPLER,FASTER, SMARTER
• No need for multi databases
• Run in memory
• Uses 5% of energy of disk
• No need faster storage
• Less than 24 months payback time
• www.suiteonhana.com
• Ferrero chocolate
• XCentric

78. Simple

86. In 1989, Gartner analyst Howard Dresner
introduced the term “business intelligence,”
which he defined as “concepts and methods to
improve business...”

87. Feedback from BI Users
“Are your BI applications easy to use?”
Source Forrester: August 2008 Global BI And Data Management Online Survey
Base: 82 IT decision-makers

88. © SAP 2008 / Page 88
Ease of Use is The #1 Barrier to Deployment
Top Roadblocks to BI Success
Challenge Rank
Complexity of BI tools and interfaces 1
Cost of BI software and per-user licenses 2
Difficulty accessing relevant, timely, or reliable data 3
Insufficient IT staffing or excessive software requirements
for IT support
4
Difficulty identifying applications or decisions that can be
supported by BI
5
Lack of appropriate BI technical expertise within IT 6
Lack of support from executives or business management 7
Poor planning or management of BI programs 8
Lack of BI technology standards and best practices 9
Lack of training for end users 10
1. Doug Henschen, InformationWeek, “BI Efforts Take Flight”, Oct 13, 2008

89. Intuitive Interfaces

93. BI is too S L O W
0% 10% 20% 30% 40% 50%
Current platform is a legacy we must phase out
Can't support data modeling we need
Poorly suited to real-time or on demand workloads
Cost of scaling up is too expensive
Can't scale to large data volumes
Inadequate data load speed
Can't support advanced analytics
Poor query response
Source: P. Russom. Next Generation Data Warehouse Platforms, TDWI Best Practices Report, 4Q 2009
What problems will eventually drive you to replace your current primary
data warehouse platform?

94. Go FasterColumn databases
Hardware Acceleration
In-Memory Processing
Lower Memory Costs

95. View In Presentation Mode For Interactivity

97. View In Presentation Mode For Interactivity

98. View In Presentation Mode For Interactivity

99. Mobile

100. Adobe Flash Dashboards on Android

101. 10km
De NHM kijker
Eerste Romeinse
nederzetting: “Oppidum
Batavorum”
Jaartal: 12 voor Chr.
Afstand: 300 meter
0.3

102. Filter by: Branch
Highstreet
Operations +23%
NE 0.1km

103. SAP Maintenance
Maintenance
Last checked: 28/9/09
Relative performance: +10%
More details

104. Filter by: Maintenance History
Tower Pipe 3
Last Maintenance: 2 Weeks
E 0.1km
Photo by Thomas Hawk, Flickr

105. 10km
De NHM kijker
Eerste Romeinse
nederzetting: “Oppidum
Batavorum”
Jaartal: 12 voor Chr.
Afstand: 300 meter
0.3

106. SAP Augmented Corporate Reality
(proof of concept only)

109. Text Analytics

110. Customer feedback

111. Predictive Forecasting
• Ebay based on previous purchase
• Burberry Store , personalized business IPAD
and sensors

112. Store 23
Current sales: $15k
SE 0.1km
Filter by: Store Performance

113. ...Burberry Store
• Zone of entrance
• Augmented reality
• From real-time data for mangers to zone the
products properly based on the behaviour of
customers

115. How Augmented Explorer Works
1 2
3
Define the points of interest and associated
data and load them into BusinessObjects
Explorer
Calculate direction and distance to POIs
(Point of Interests) , based on the users’
GPS location and compass
Display appropriate
information on the mobile
device
Any source of corporate or
personal data
BI OnDemand

116. Intelligent Airports
• "Improving the passenger experience" is the
number one driver of IT investment by the
majority (59%) of the world's airports.“
• 10% customers have smart phone
• Traffic in the airport can be controlled by
tracing these sensors on smartphones
• Placement of boots and retailers

118. City of Boston BAR citizen Insight
• ‘Boston About Results’ App Puts City’s
Performance Review in Your Hands
• http://www.cityofboston.gov/bar/scorecard/reader.html

119. BAR

121. BC Hydro is saving $70 million dollars a year through
the installation of new smart electricity
meters, using SAP systems, and offering new services to
commercial customers based on the new data
possibilities with Analytic and BI power of SAP.

123. Analytic
• Predict Market Trends
• Predict market volatility
• See change in demand supply across entire
Supply Chain Immediately
• Monitor and analyse deviation & Quality Issues
• Provide Right Offers
• Update window onto future sales , in real time
• Understand what customer say about you
• Predict cash flow
• Think Big, Think different

124. it’s time to rethink business
• Remove today’s bottlenecks to successful
analytics caused by data volumes, data
variety, or data access
• Rethink business processes by embedding
real-time decisions
• Create new products and services that could
only exist because of today’s analytic power

126. Analytic in Finance

128. Big Data’s Magic Carpet Keep Mama’s
Safe

129. Asset Management Analytic

130. Human Resources Analytic

131. HCM Analytic

132. Real-time Value of R&D/Engineering
with Analytic and HANA

133. Real-time Value of
Sales, Service, Marketing with
Analytic
https://www.youtube.com/v/DvUCWVM6ank?
version=3&hl=en_US

134. Real-time Value of Supply Chain
Management with Analytic
• BUSINESSES TRANSFORM SUPPLY CHAINS
INTO DEMAND NETWORKS

136. Opportunities are limitless

137. "Think outside the box"
• too close to the detail, focusing only on one section.
What does this tell us? It only tells us what we allow
ourselves to think it tells us - perhaps it opens up the
possibilities of thought? For info. These simple paragraphs
can be aligned to "thinking outside the box" and "big
picture thinking.“
• "Think outside the box" is a commonly heard phrase that
suggests looking at a problem from a different
perspective, and without and preconceived views.
• "Big picture thinking" which refers to being able to looking
at the wider context rather than focus on a specific area.

138. Think Big

139. Think Different

143. Evolution of REPORT writing
PAST Your Logo
Standard
Report, Adhoc
report
OLAP
Visualization
Dashboard & Score
card
Exploration &
Visualization
Predictive
Modeling
FUTURE
Predictive Analysis Application Load Data from the source

144. PA softwares you instal in 3 minutes
and run in 5 minutes
REPORTING
DASHBOARD
SELFSERVICE

145. • Customer choice of bank
• Salary
• Promotion
• Location
• Forecasting Anomalies
• Challenges
• Trend
• Key influencers
1. Predictive Analytic stand alone
2. PA+ In memory computing computers (HANA)
Why Predictive Analytic?

146. • Lots of Data
• Lots of report
• View
• Unreliability of data
When and Why you may need Analytic ?

147. • BI & Analytic
• Data warehouse
• Enterprise content management (ECM)
Core Analytic Capability

148. In Memory processing and the power
of Analytics & BI
• Is too often pigeonholed as expensive and
only for extreme data needs.
• But more and more companies are crunching
the numbers and realizing that in-memory
processing is simply a cheaper, better way to
do analytics.

149. In Memory processing and the power
of Analytics & BI
• It bring the expected technology benefits:
• Up to 420 times faster data reporting than legacy
system
• Up to 15 times improvement in query load times
• Average data compression improvement of 77%
• Up to 87% reduction in extract, transform, load
(ETL) times
• Up to 80% of data updated in real time

150. In Memory processing and the power
of Analytics & BI
• But what’s important is that this translates in
direct business savings :
Example for University of Kentucky
• $6.17 million in benefits (discounted) over five
years
• ROI of 509%
• Payback in 9.5 months

151. Analytic
• Advanced Analytics: Unlocking the Power of
Insight

152. How Predictive Analytic works

153. 3 types of users for Predictive
Analytics

154. What needs to be done
• Organizations are using this technology to
change the way they do business.
• If you run an analytics project, you are in the
forefront of these changes – it’s your job to
help explain to the rest of the business how
these technologies should be changing their
existing processes. Good luck!

163. Visual Intelligence
• With Visual Intelligence, you can:
– Deliver faster time to insight in a repeatable, self-
service way
– Maximize business knowledge with a combination of
big picture insights and granular details
– Accelerate decision making with immediate, fact-
based answers to complex business questions
– Increase self-service data usage without adding to
your IT department's workload
– Visualize any amount of data in real time, using in
memory processing

164. Analytics on a World of 7 Billion

165. Business Intelligence

166. WIFM
What’s in it for me?

167. Conclusion
• Time to rethink , analytic technology Back
end: simplification, new real-time
opportunities Front end: mobile
first, collaboration (consumerization)
• Time to rethink ,business It’s not “just” about
analysis You can start today
• Don’t be left behind

168. Thank you for being great
audience
Any
Question?
170 Professor Lili Saghafi5/7/2014

169. PowerPoint Twitter Feedback Slide
Use Presentation Mode to view, Click this header to give mouse control back to PowerPoint, change slide, etc. Check
the “alternate format” to see more tweets!
© SAP 2009 / Page 171

170. 5/7/2014 172Professor Lili Saghafi