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ADVANCE
ANALYTICSIN
 YOURBUSINESS
THE ROLE OF
WEEK4 DAY4
C OMPANIES THAT INJEC T
BIG DATA AND ANALYTIC S
INTO THEIR OPERATIONS
SHOW PRODUC TIVITY
RATES AND PROFITABILITY
THAT ARE 5% TO 6% HIGHER
THAN THOSE OF THEIR
PEERS
A C C O R D I N G T O
R E S E A R C H B Y
A N D R E W M C A F E E
A N D E R I K
B R Y N J O L F S S O N ,
O F M I T
THE ERA OF BIG
DATA IS EVOLVING
RAPIDLY, AND
 EXPERIENCES
SUGGESTS THAT
MOST COMPANIES
SHOULD ACT NOW.
TIME HAS C OME TO
DEFINE A PRAGMATIC
APPROAC H TO BIG
DATA AND ADVANC ED
ANALYTIC S— TIGHTLY
FOC USED ON HOW TO
USE THE DATA TO
MAKE BETTER
DEC ISIONS.
 THEREARETHREE
MUTUALLY
SUPPORTIVE
CAPABILITIES
CHOOSE THE RIGHT DATA
BUILD MODELS THAT PREDICT AND OPTIMIZE
BUSINESS OUTCOMES
TRANSFORM YOUR COMPANY’S CAPABILITIES
01
02
03
01First, companies must be
able to identify, combine,
and manage multiple
sources of data.
CHOOSETHE
RIGHTDATA
RIGHT DATA IS KEY
Bigger and better data give
companies both more-
panoramic and more-granular
views of their business
environment.
One way to prompt
broader thinking about
potential data is to ask,
“What decisions could we
make if we had all the
information we need?” 
01
02
Corralling huge data sets allows
companies to run dozens of statistical
tests to identify submerged patterns, but
that provides little benefit if managers
can’t effectively use the correlations to
enhance business performance. 
 MODELSTHAT OPTIMIZE
BUSINESS                                                     
 OUTCOMES
02
Statistics experts sometimes design
models that are too complex to be
practical. For example, a predictive
model with 30 variables may explain
historical data with high accuracy, but
managing so many variables will exhaust
most organizations’ capabilities.
Companies should repeatedly ask,
“What’s the least complex model that
would improve our performance?”
03
TRANSFORM YOUR
COMPANY’S CAPABILITIES
The new approaches don’t align with how
companies actually arrive at decisions, or
they fail to provide a clear blueprint for
realizing business goals. 
03
Many companies grapple with such
problems, often because of a mismatch
between the organization’s existing
culture and capabilities and the emerging
tactics to exploit analytics successfully
 1. Develop business-relevant analytics that can    
    be put to use.
 2. Embed analytics into simple tools for the front
     lines.
TWO SOLUTIONS
#1
Managers must come to
view analytics as central
to solving problems and
identifying opportunities
—to make it part of the
fabric of daily operations.
#2
 Manager must organize the
“field and forum” approach to
indulge data playing capability,
in real-world and analytics-
based workshops that allow
them to learn by doing.
MANAGERIAL
RELEVANCE
THANKS
ALOT

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Advance analytics in your business

  • 2. C OMPANIES THAT INJEC T BIG DATA AND ANALYTIC S INTO THEIR OPERATIONS SHOW PRODUC TIVITY RATES AND PROFITABILITY THAT ARE 5% TO 6% HIGHER THAN THOSE OF THEIR PEERS A C C O R D I N G T O R E S E A R C H B Y A N D R E W M C A F E E A N D E R I K B R Y N J O L F S S O N , O F M I T
  • 3. THE ERA OF BIG DATA IS EVOLVING RAPIDLY, AND  EXPERIENCES SUGGESTS THAT MOST COMPANIES SHOULD ACT NOW.
  • 4. TIME HAS C OME TO DEFINE A PRAGMATIC APPROAC H TO BIG DATA AND ADVANC ED ANALYTIC S— TIGHTLY FOC USED ON HOW TO USE THE DATA TO MAKE BETTER DEC ISIONS.
  • 5.  THEREARETHREE MUTUALLY SUPPORTIVE CAPABILITIES CHOOSE THE RIGHT DATA BUILD MODELS THAT PREDICT AND OPTIMIZE BUSINESS OUTCOMES TRANSFORM YOUR COMPANY’S CAPABILITIES 01 02 03
  • 6. 01First, companies must be able to identify, combine, and manage multiple sources of data. CHOOSETHE RIGHTDATA RIGHT DATA IS KEY Bigger and better data give companies both more- panoramic and more-granular views of their business environment.
  • 7. One way to prompt broader thinking about potential data is to ask, “What decisions could we make if we had all the information we need?”  01
  • 8. 02 Corralling huge data sets allows companies to run dozens of statistical tests to identify submerged patterns, but that provides little benefit if managers can’t effectively use the correlations to enhance business performance.   MODELSTHAT OPTIMIZE BUSINESS                                                       OUTCOMES
  • 9. 02 Statistics experts sometimes design models that are too complex to be practical. For example, a predictive model with 30 variables may explain historical data with high accuracy, but managing so many variables will exhaust most organizations’ capabilities. Companies should repeatedly ask, “What’s the least complex model that would improve our performance?”
  • 10. 03 TRANSFORM YOUR COMPANY’S CAPABILITIES The new approaches don’t align with how companies actually arrive at decisions, or they fail to provide a clear blueprint for realizing business goals. 
  • 11. 03 Many companies grapple with such problems, often because of a mismatch between the organization’s existing culture and capabilities and the emerging tactics to exploit analytics successfully  1. Develop business-relevant analytics that can         be put to use.  2. Embed analytics into simple tools for the front      lines. TWO SOLUTIONS
  • 12. #1 Managers must come to view analytics as central to solving problems and identifying opportunities —to make it part of the fabric of daily operations. #2  Manager must organize the “field and forum” approach to indulge data playing capability, in real-world and analytics- based workshops that allow them to learn by doing. MANAGERIAL RELEVANCE