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IMPACT OF EMERGING
TECHNOLOGIES IN BUSINESS
SUDIPTA K. SEN
REGIONAL DIRECTOR – SOUTH EAST ASIA,
VICE CHAIRMAN & BOARD MEMBER
SAS INDIA

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
LESSON FROM THE EVOLUTION

Dinosaur • Extinct even
though the largest
living organism in
the universe

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
LESSON FROM THE EVOLUTION CONTD.

Amoeba
• Surviving even
though one of the
smallest living
organism in the
universe

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
GLOBAL CHALLENGE
INNOVATE & OPTIMIZE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
GLOBAL CHALLENGE
INNOVATION

 New ways of thinking. New strategies.
 “Best Practices” vs. “Next Practices”.
 Beyond improving on what already exists.

 Involves risk and disruption.

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
GLOBAL CHALLENGE
OPTIMIZATION

 Process improvements.
 Cost cutting. Reallocation of resources.
 Let go of what you shouldn’t be doing.
 Too much may challenge long-term viability.

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
GLOBAL CHALLENGE
STRIKING A BALANCE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
DRIVING CHANGE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
DRIVING CHANGE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
DATA DRIVES INNOVATION

GLOBAL ONLINE POPULATION TO HIT 2.2 BILLION BY 2013

Internet Users 2008
•
•
•
•
•

US
China
Japan
Brazil
Germany

Internet Users 2013
•
•
•
•
•

China
US
India
Japan
Brazil

43% of the world’s online population will reside in Asia by 2013

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BIG DATA –
WHAT IS IT?

“Data that exceeds the processing capacity
of conventional database systems.”

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
DRIVING CHANGE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
KEY
CONSIDERATIONS

Data

 Which kind?
 Predict outcomes
 Quantifiable benefit

Platforms

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
IT’S ALL ABOUT PROFITABLE REVENUE GROWTH

Driving the need for…
Intelligence with Analytics

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
ANALYTICS

WHAT SHOULD YOU EXPECT?
Pinpoint
Understand
Discover

Simulate

Act

Isolate

Limit

Filter

Justify
Conserve

Model

Improve
Contain
Eliminate
Decide

Illuminate

Hedge

Streamline

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

Simplify

Recycle

Better
Find

Constrain

Anticipate

Reduce
ANALYTICS

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
DRIVING CHANGE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
ISLANDS OF INFORMATION

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
BRINGING ISLANDS TOGETHER!

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
Agility
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
Are We Agile?

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
TOO MANY
DECISIONS TO
MAKE

Effective
Acquisition
Mechanisms

Structured
X-Sell and
Up-Sell
Structure

Increased
Share-of Customer Wallet

Increase
Customer Value
Reduce
Time to Decision

Increase
Product
Holding Ratio

Reduce
Customer Irritation
Quotient

Increase
Share-Of-Wallet

Reduce
Leaking Bucket
Syndrome

Increase
Month on Books
Increase
Customer Value

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

Reduce
Marketing & Allied
Costs
Reduce
Bad Customer
Acquisition
STEP 1 – INFRASTRUCTURE

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
STEP 2 – SEGMENT CUSTOMERS

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
XUP

RETAIN

STEP 3 – PROFILE SEGMENTS

DON’T
FOCUS

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .

DON’T FOCUS
XUP

XUP

DON’T RETAIN
FOCUS

RETAIN

DON’T
FOCUS
Decisioning!
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
STEP 4 – KNOW YOUR CUSTOMER
CORROBORATIVE DATAPOINTS

VALUABLE
CREDIT CARD
CUSTOMER

MOBILE BILL
PAYMENT IS
ON STANDING
INSTRUCTION

AVERAGE
MOBILE
PAYMENT
7,200

CUSTOMER FOR OVER
4 YEARS

AVERAGE
REVOLVING
AMOUNT INR
12,000

NO
DELINQUENCY
IN 24 MONTHS

• Busy Executive
• Age 36
• Living in South Mumbai
• Low Risk, Potentially
• High Value Customer
• Current exposure to Business
– VERY LOW
• Potential Cross-Sell Products
Personal Loan
• Communication Channel Priority
Electronic Mail and Mobile (SMS)
POSSIBLE ACTION
• Cross-Sell Prospect to PRODUCT-1 PL
• Propose via E-Mail Channel
• Provide 1 Year offer with Low APR
ANTICIPATED RESULT
• Increased Exposure thus Increased
Value/Revenue

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
Timely
Application!
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
HOW?


Run Targeted
Outbound Programs

Lead Intimation

Mr. Kumar has withdrawn 4 Standard
Deviation Higher
Amount of Average
Behavior today,
PL Scores have been
consistent since three
months – Propose an
Offer!
Offer has already been
calculated for 10.25%
Interest

Empower Relevant Stakeholders in the
Enterprise with Analytically Validated
Decisions for Execution!

Transform
Service to Sales

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
SOCIAL MEDIA

WHERE DOES IT PLAY?

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
SUCCESS STORIES

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
SEBI

“SEBI has always been seen as a
proactive regulator, and when we
implement a solution of this kind,
we live up to that standard – a
standard that says, ‘Look,
somebody is watching you.’”
Avneesh Pandey, General Manager, SEBI

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
TELECOM ITALIA

“Analysis that is valuable and
makes sense today may be
irrelevant tomorrow. And we need
to see well beyond tomorrow.
SAS Visual Analytics has allowed
us to identify profitable areas that
we can strengthen in terms of
infrastructure and services to be
marketed”
Fabrizio Bellezza, Vice President - National Wholesale
Services and Head of Market Development ,
Telecom Italia

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
MARUTI SUZUKI

Developed a comprehensive
unified view of the customer
across different sources. Reduced
redundancies in the customer
database, leading to optimization
of marketing spend and enabling
opportunities to cross and upsell.

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
SALES TAX
DEPARTMENT OF A
MAJOR STATE IN
INDIA

Identifying and plugging the
leakages in the system, resulting in
increased Tax revenue for the
department. Enabling a culture of
data-driven decision making and
resource optimisation across
various divisions

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
THE POWER OF ANALYTICS – KEY TAKEAWAY

•

In an increasingly volatile world, hindsight is a poor tool to create insight

•

Past trends tend to be poor predictors of future possibilities

•

Today’s insights would be tomorrow’s hindsight

•

Organizations with capability of learning from hindsight and ability to do
well in the future through foresight will thrive

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
Leader in Business Analytics

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
“One cannot be in business today with
yesterday’s methods and practices and be in
business tomorrow”

C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
THANK YOU

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Impact of emerging technologies in Business

  • 1. IMPACT OF EMERGING TECHNOLOGIES IN BUSINESS SUDIPTA K. SEN REGIONAL DIRECTOR – SOUTH EAST ASIA, VICE CHAIRMAN & BOARD MEMBER SAS INDIA C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 2. LESSON FROM THE EVOLUTION Dinosaur • Extinct even though the largest living organism in the universe C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 3. LESSON FROM THE EVOLUTION CONTD. Amoeba • Surviving even though one of the smallest living organism in the universe C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 4. GLOBAL CHALLENGE INNOVATE & OPTIMIZE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 5. GLOBAL CHALLENGE INNOVATION  New ways of thinking. New strategies.  “Best Practices” vs. “Next Practices”.  Beyond improving on what already exists.  Involves risk and disruption. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 6. GLOBAL CHALLENGE OPTIMIZATION  Process improvements.  Cost cutting. Reallocation of resources.  Let go of what you shouldn’t be doing.  Too much may challenge long-term viability. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 7. GLOBAL CHALLENGE STRIKING A BALANCE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 8. DRIVING CHANGE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 9. DRIVING CHANGE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 10. DATA DRIVES INNOVATION GLOBAL ONLINE POPULATION TO HIT 2.2 BILLION BY 2013 Internet Users 2008 • • • • • US China Japan Brazil Germany Internet Users 2013 • • • • • China US India Japan Brazil 43% of the world’s online population will reside in Asia by 2013 C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 11. BIG DATA – WHAT IS IT? “Data that exceeds the processing capacity of conventional database systems.” C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 12. DRIVING CHANGE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 13. KEY CONSIDERATIONS Data  Which kind?  Predict outcomes  Quantifiable benefit Platforms C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 14. IT’S ALL ABOUT PROFITABLE REVENUE GROWTH Driving the need for… Intelligence with Analytics C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 15. ANALYTICS WHAT SHOULD YOU EXPECT? Pinpoint Understand Discover Simulate Act Isolate Limit Filter Justify Conserve Model Improve Contain Eliminate Decide Illuminate Hedge Streamline C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Simplify Recycle Better Find Constrain Anticipate Reduce
  • 16. ANALYTICS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 17. DRIVING CHANGE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 18. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 19. ISLANDS OF INFORMATION C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 20. BRINGING ISLANDS TOGETHER! C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 21. Agility C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 22. Are We Agile? C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 23. TOO MANY DECISIONS TO MAKE Effective Acquisition Mechanisms Structured X-Sell and Up-Sell Structure Increased Share-of Customer Wallet Increase Customer Value Reduce Time to Decision Increase Product Holding Ratio Reduce Customer Irritation Quotient Increase Share-Of-Wallet Reduce Leaking Bucket Syndrome Increase Month on Books Increase Customer Value C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . Reduce Marketing & Allied Costs Reduce Bad Customer Acquisition
  • 24. STEP 1 – INFRASTRUCTURE C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 25. STEP 2 – SEGMENT CUSTOMERS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 26. XUP RETAIN STEP 3 – PROFILE SEGMENTS DON’T FOCUS C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d . DON’T FOCUS XUP XUP DON’T RETAIN FOCUS RETAIN DON’T FOCUS
  • 27. Decisioning! C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 28. STEP 4 – KNOW YOUR CUSTOMER CORROBORATIVE DATAPOINTS VALUABLE CREDIT CARD CUSTOMER MOBILE BILL PAYMENT IS ON STANDING INSTRUCTION AVERAGE MOBILE PAYMENT 7,200 CUSTOMER FOR OVER 4 YEARS AVERAGE REVOLVING AMOUNT INR 12,000 NO DELINQUENCY IN 24 MONTHS • Busy Executive • Age 36 • Living in South Mumbai • Low Risk, Potentially • High Value Customer • Current exposure to Business – VERY LOW • Potential Cross-Sell Products Personal Loan • Communication Channel Priority Electronic Mail and Mobile (SMS) POSSIBLE ACTION • Cross-Sell Prospect to PRODUCT-1 PL • Propose via E-Mail Channel • Provide 1 Year offer with Low APR ANTICIPATED RESULT • Increased Exposure thus Increased Value/Revenue C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 29. Timely Application! C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 30. HOW?  Run Targeted Outbound Programs Lead Intimation Mr. Kumar has withdrawn 4 Standard Deviation Higher Amount of Average Behavior today, PL Scores have been consistent since three months – Propose an Offer! Offer has already been calculated for 10.25% Interest Empower Relevant Stakeholders in the Enterprise with Analytically Validated Decisions for Execution! Transform Service to Sales C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 31. SOCIAL MEDIA WHERE DOES IT PLAY? C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 32. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 33. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 34. SUCCESS STORIES C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 35. SEBI “SEBI has always been seen as a proactive regulator, and when we implement a solution of this kind, we live up to that standard – a standard that says, ‘Look, somebody is watching you.’” Avneesh Pandey, General Manager, SEBI C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 36. TELECOM ITALIA “Analysis that is valuable and makes sense today may be irrelevant tomorrow. And we need to see well beyond tomorrow. SAS Visual Analytics has allowed us to identify profitable areas that we can strengthen in terms of infrastructure and services to be marketed” Fabrizio Bellezza, Vice President - National Wholesale Services and Head of Market Development , Telecom Italia C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 37. MARUTI SUZUKI Developed a comprehensive unified view of the customer across different sources. Reduced redundancies in the customer database, leading to optimization of marketing spend and enabling opportunities to cross and upsell. C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 38. SALES TAX DEPARTMENT OF A MAJOR STATE IN INDIA Identifying and plugging the leakages in the system, resulting in increased Tax revenue for the department. Enabling a culture of data-driven decision making and resource optimisation across various divisions C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 39. THE POWER OF ANALYTICS – KEY TAKEAWAY • In an increasingly volatile world, hindsight is a poor tool to create insight • Past trends tend to be poor predictors of future possibilities • Today’s insights would be tomorrow’s hindsight • Organizations with capability of learning from hindsight and ability to do well in the future through foresight will thrive C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 40. Leader in Business Analytics C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .
  • 41. “One cannot be in business today with yesterday’s methods and practices and be in business tomorrow” C op yr i g h t © 2 0 1 2 , S A S I n s t i t u t e I n c . A l l r i g h t s r es er v e d .