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Making Advanced Analytics
Work for You
Based on article of the same name by Dominic Barton and David Court
Data Analytics:
A competitive differential
Data Analytics:
A competitive differential
According to research by
Andrew McAfee and
Erik Brynjolfsson,
of MIT, companies that inject
big data and
analytics
into their operations show
productivity rates and
profitability that are
5% to 6% higher
than those of their peers
14
8
PROFITABILITY
big data advantage ordinary
Insight #1:
How to
go about
it ?
Choose the
Right Data
Build Models That
Predict and
Optimize Business
Outcomes Transform Your
Company’s
Capabilities
Choose the
Right Data
• Be specific about business
problems you want to solve
• Acknowledge the potential of
external and new
sources of data- e.g. social
media
• Acquisition of data assets
• Ask, “What decisions
could we make if we had
all the information we
need?”
Choose the
Right Data
Build Models That
Predict and
Optimize Business
Outcomes
Build Models That
Predict and
Optimize Business
Outcomes
• Hypothesis led
modelling
• Attune models
according to
executional ease
• Ask, “What’s the
least complex
model that would
improve our
performance?”
A pure
data-mining
approach is
often futile
Transform Your
Company’s
Capabilities
Issue:
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
3.Develop
capabilities to
exploit big
data- training,
team approach,
incentives
Insight #2:Challenges
1.Modelling error and
adaptation cost
2.Behavioural inertia
3.Weak analytical
acumen on the
frontline
Managerial Relevance
1.Impresses the importance of analytics as
a competitive differential
2.Prepares the manager to look for
benchmarks to make her organization
analytics-able
3.Highlights challenges
Why?
Way forward for the Manager
The era of big data is evolving rapidly, and it is
recommended that most companies should act now.
Rather than undertaking massive overhauls of their
companies, executives should concentrate on
targeted efforts to source data, build models,
and transform the organizational culture.
Such efforts will play a part in maintaining
flexibility.
Thank You

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Making advanced analytics work for you

  • 1. Making Advanced Analytics Work for You Based on article of the same name by Dominic Barton and David Court
  • 3. Data Analytics: A competitive differential According to research by Andrew McAfee and Erik Brynjolfsson, of MIT, companies that inject big data and analytics into their operations show productivity rates and profitability that are 5% to 6% higher than those of their peers 14 8 PROFITABILITY big data advantage ordinary
  • 5. Choose the Right Data Build Models That Predict and Optimize Business Outcomes Transform Your Company’s Capabilities
  • 6. Choose the Right Data • Be specific about business problems you want to solve • Acknowledge the potential of external and new sources of data- e.g. social media • Acquisition of data assets • Ask, “What decisions could we make if we had all the information we need?” Choose the Right Data
  • 7. Build Models That Predict and Optimize Business Outcomes Build Models That Predict and Optimize Business Outcomes • Hypothesis led modelling • Attune models according to executional ease • Ask, “What’s the least complex model that would improve our performance?” A pure data-mining approach is often futile
  • 8. Transform Your Company’s Capabilities Issue: 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 3.Develop capabilities to exploit big data- training, team approach, incentives
  • 10. 1.Modelling error and adaptation cost 2.Behavioural inertia 3.Weak analytical acumen on the frontline
  • 12. 1.Impresses the importance of analytics as a competitive differential 2.Prepares the manager to look for benchmarks to make her organization analytics-able 3.Highlights challenges Why?
  • 13. Way forward for the Manager The era of big data is evolving rapidly, and it is recommended that most companies should act now. Rather than undertaking massive overhauls of their companies, executives should concentrate on targeted efforts to source data, build models, and transform the organizational culture. Such efforts will play a part in maintaining flexibility.