This presentation talks about how organisations can leverage forward-looking, high-performance analytics to make the most out of their newest and important asset class: 'Data'. It was presented by Ashit Panjwani, Executive Director - Sales, Marketing & Alliance, SAS India at 'CIO - The Year Ahead 2014' - Kochi, India.

1. LEVERAGING ANALYTICS TO DRIVE
BREAKTHROUGH BUSINESS OUTCOMES
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2. GOOGLE TRENDS
ANALYTICS
100
Internet of Things
Big Data
90
Hadoop
80
Analy cs
70
60
50
40
30
20
10
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3. GOOGLE TRENDS
BIG DATA
100
Internet of Things
Big Data
90
Hadoop
80
Analy cs
70
60
50
40
30
20
10
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4. GOOGLE TRENDS
HADOOP
100
Internet of Things
Big Data
90
Hadoop
80
Analy cs
70
60
50
40
30
20
10
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5. GOOGLE TRENDS
INTERNET OF THINGS
100
Internet of Things
Big Data
90
Hadoop
80
Analy cs
70
60
50
40
30
20
10
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6. GOOGLE TRENDS
INTEREST IN DATA IS AT AN ALL-TIME HIGH
100
Internet of Things
Big Data
90
Hadoop
80
Analy cs
70
60
50
40
30
20
10
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7. GLOBAL
CHALLENGE
FOCUS BEYOND THE HERE AND NOW
Executive leadership must focus concurrently on 3 time horizons:
1.
They must make the
effective.
2.
They must identify and realize the
.
3.
They must make the present business into a
for a different future.
- Peter Drucker
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8. INNOVATE &
OPTIMIZE
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9. INNOVATION
 New ways of thinking. New strategies.
 “Best Practices” vs. “Next Practices”.
 Beyond improving on what already exists.
 Involves risk and disruption.
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10. OPTIMIZATION
 Process improvements.
 Cost cutting. Reallocation of resources.
 Let go of what you shouldn’t be doing.
 Too much may challenge long-term viability.
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11. STRATEGIC VALUE
OF DATA
WHAT ROLE DOES DATA PLAY IN YOUR ORGANIZATION?
How can I use my company’s data to create new
products and services?
How can I partner with other organizations
to share data for a new business initiative?
How can I enter a new market or even create
a new market using company data?
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12. INFORMATION
CHALLENGES
MANAGEMENT
•
•
•
•
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Demand on data is increasing
Complexity of data usage is growing
Expansion of the user base
Demand for quick response is growing

13. DATA
CHALLENGES
4 V’S
Volume.
Velocity.
Variety.
Validity
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14. BIG DATA AND
KEY CONSIDERATIONS
ANALYTICS
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15. BIG DATA AND
KEY CONSIDERATIONS
ANALYTICS
Analytics
 Structured data
 Unstructured data
 Information management
 “Big Data”
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Platforms

16. BIG DATA AND
KEY CONSIDERATIONS
ANALYTICS
Data
 Which kind?
 Predict outcomes
 Quantifiable benefit
Platforms
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17. BIG DATA AND
KEY CONSIDERATIONS
ANALYTICS
Analytics
Data
 The “Cloud”
 Grid
 In-Database
 High Performance Analytics
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18. EIGHT LEVELS OF ANLAYTICS
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19. 4
3
2
1
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ALERTS
Answer the questions: When should I react? What actions are
needed now?
QUERY DRILLDOWN (OR OLAP)
Answer the questions: Where exactly is the problem? How do I
find the answers?
AD HOC REPORTS
Answer the questions: How many? How often? Where?
STANDARD REPORTS
Answer the questions: What happened? When did it happen?

20. OPTIMIZATION
8
Answer the questions: How do we do things better? What is the
best decision for a complex problem?
PREDICTIVE MODELING
7
Answer the questions: What will happen next? How will it affect
my business?
FORECASTING
6
Answer the questions: What if these trends continue? How much
is needed? When will it be needed?
STATISTICAL ANALYSIS
5
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Answer the questions: Why is it happening? What opportunities
am I missing?

21. BETTER DECISIONS
ARE THE GOAL OF
ANALYTICS
Reports
Portals
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Decisions!
Scorecards
Drill-down

22. BUSINESS
ANALYTICS
FRAMEWORK
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23. BUSINESS ANALYTICS
BANKING
Risk
Customers
Financial Crimes Identification
Customer Profitability & Lifetime Value
Market Risk Management
Acquisition & Retention
Credit Risk Management
Cross-Sell/Up-Sell & Event Triggers
Operational Risk Management
Campaign Management & Optimization
Finance
Operations
Legal & Financial Consolidation & Reporting
Workforce Planning & Management
Capital Allocation & Management
IT Performance Management
Regulatory Compliance
Performance Measurement & Reporting
Asset/Liability Management
Dynamic Relationship Pricing & Product Bundling
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Segmentation and Profiling
Process Optimization

24. BUSINESS
ANALYTICS
MANUFACTURING
Production & Service
Customers
Production Quality
Product & Customer Profitability
Service Operations Optimization
Segmentation & Profiling
Warranty Analysis
Campaign Management
Service Parts Optimization
Marketing Optimization
Service Revenue Optimization
Supply & Demand
Organization
Commodity Classification
Financial Planning & Reporting
Spend Analysis
Scorecarding & KPIs
Supply Risk Management
IT Management
Demand-Driven Forecasting
Workforce Management and Planning
Inventory Optimization
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25. 8 ESSENTIALS OF
BUSINESS
ANALYTICS
➊ Improve
➋ Get
the flow and flexibility of data.
the right technology in place.
➌ Develop
the talent you need.
➍ Demand
fact-based decisions.
➎ Keep
the process transparent.
➏ Develop
an Analytics Center of Excellence
➐ Transform
➑ Revise
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the culture.
your strategies – often.

26. BRING FOCUS TO
YOUR EFFORTS

Where should we leverage business analytics?

Why now?

What’s the payoff?

What information and technology do we use?

What kind of people do we need?

What role must senior executives play?
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27. ONLINE BUSINESS
ANALYTICS
ASSESSMENT
www.sas.com
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HOW DO YOU STACK UP?

28. HOW THE MIGHTY FALL
“Whether you prevail or fail,
endure or die, depends more
on what you do to yourself
than on what world does to
you.” – Jim Collins
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29. GLOBAL CHALLENGE
“The business landscape has changed fundamentally.
Tomorrow’s environment will be different, but no less
rich in possibilities for those who are prepared.”
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30. THANK YOU
FOR MORE DETAIL EMAIL US AT RAHUL.SINGH@SAS.COM
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