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MAKING ADVANCED
ANALYTICS WORK FORYOU
PRESENTATION BY
KASHISH MUKHEJA
Fully exploiting data and analytics
requires
3 mutually supportive capabilities.
->Choose the Right Data
The sheer volume of information &
the opportunity to expand insights by combining data is
accelerating, as 

more-powerful, less costly software abounds
and information can be accessed from almost anywhere at
any time.
Bigger and Better data
give companies
both
more-panoramic and more-granular
views of
their business environment
GETTHE NECESSARY IT SUPPORT
*Quickly identify and connect most important data for use in analytics,
followed by a cleanup operation to synchronize and merge overlapping
data and
then to work on missing information.
*New cloud-based technologies may also offer ways to scale
computing power up or down to meet big data demands
Build Models That Predict
and Optimize
Business Outcomes
*Data are essential, but performance
improvements and competitive
advantage arise from analytics models
that allow managers to predict and
optimize outcomes.*More important, the most effective approach
to building a model rarely starts with the data;
instead it originates with identifying the
business opportunity and determining how the
model can improve performance.
TRANSFORM YOUR COMPANY’S CAPABILITY
*Develop business-relevant analytics that can be put to use.
*Convene a series of meetings with pricing and promotions
managers to better understand the types of decisions they made
when setting prices—and how those choices ultimately affected
revenue and customer retention.
*The modeling allowed the company to reach its ultimate goal:
more-effective management of price and volume trade-offs as
product launches proliferated.
Embed analytics into simple tools for the front lines.
Develop capabilities to exploit big data.
MANAGERIAL RELEVANCE
Managers need to get creative about the
potential of external and new sources of
data.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?”
The manager should also have the ability to
optimize models.Companies should repeatedly
ask, “What’s the least complex model that
would improve our performance?”.To conclude,
a manager must have capabilities to exploit big
data and must make his peers and employees to
develop the same.
Making Advanced Analytics Work for You by Dominic Barton and David Court

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Making Advanced Analytics Work for You by Dominic Barton and David Court

  • 1. MAKING ADVANCED ANALYTICS WORK FORYOU PRESENTATION BY KASHISH MUKHEJA
  • 2. Fully exploiting data and analytics requires 3 mutually supportive capabilities.
  • 4. The sheer volume of information & the opportunity to expand insights by combining data is accelerating, as 
 more-powerful, less costly software abounds and information can be accessed from almost anywhere at any time.
  • 5. Bigger and Better data give companies both more-panoramic and more-granular views of their business environment
  • 7. *Quickly identify and connect most important data for use in analytics, followed by a cleanup operation to synchronize and merge overlapping data and then to work on missing information. *New cloud-based technologies may also offer ways to scale computing power up or down to meet big data demands
  • 8. Build Models That Predict and Optimize Business Outcomes
  • 9. *Data are essential, but performance improvements and competitive advantage arise from analytics models that allow managers to predict and optimize outcomes.*More important, the most effective approach to building a model rarely starts with the data; instead it originates with identifying the business opportunity and determining how the model can improve performance.
  • 11. *Develop business-relevant analytics that can be put to use. *Convene a series of meetings with pricing and promotions managers to better understand the types of decisions they made when setting prices—and how those choices ultimately affected revenue and customer retention. *The modeling allowed the company to reach its ultimate goal: more-effective management of price and volume trade-offs as product launches proliferated. Embed analytics into simple tools for the front lines. Develop capabilities to exploit big data.
  • 13. Managers need to get creative about the potential of external and new sources of data.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?” The manager should also have the ability to optimize models.Companies should repeatedly ask, “What’s the least complex model that would improve our performance?”.To conclude, a manager must have capabilities to exploit big data and must make his peers and employees to develop the same.