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Making Advanced
Analytics
Work for You ! INSIGHTS BY: YOGESH KUMAR
Big Data
is
Rising
• Big data and analytics is slowly
becoming the most important part of
corporations.
• Most of the top corporations like
google and amazon reaches the top
of their competition with the help of
business models fueled over big data.
• Also, big data is attracting huge
investments from tech giants too.
2
It
Works
Organizations can improve
their performance by definite
amount, if they incorporate
big data in their core
processes.
3
According to research at 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.
6%
Leaders
Are Still
Cautious?
• Unable to use the existing data
programs up-to their potential.
• Current analytics program is too
complicated or didn’t yield any
insights.
• 90’s boom of CRM does not turn out to
be as expected and many are still
under that impression. 4
5
What’s
Needed ?
Pragmatic approach tightly focused on how to use the
data to make better decisions. Requires three mutually
supportive capabilities :
1. Ability to identify, combine, and manage multiple
sources of data.
2. Capability to build advanced analytics models for
predicting and optimizing outcomes.
3. Management must possess the muscle to transform the
organization so that the data and models actually yield
better decisions.
Choose
The Right
Data
Bigger and better data give more-
panoramic and more-granular views
of their business environment.
• Source data creatively
• Be creative about the potential of
external and new sources of data
• Get the necessary IT support
• Quickly identifying and connecting
the most important data for use in
analytics
6
Build Models That
Predict and
Optimize Business
Outcomes
Identify the business opportunity and
determining how the model can improve
performance.
Be cautious about the inherent risk that
modelling follows.
“What’s the least complex model that would
improve our performance?”
7
Transform Your
Company’s
Capabilities
There is a mismatch between the
organization’s existing capabilities
and the emerging tactics to exploit
analytics successfully.
Using big data requires thoughtful
organizational change, and three
areas of action can get you there.
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. 8
Insights
Many corporations have reached at top by
incorporating big data into their operations
and many are slowly realizing its importance
and trying to do the same. Still, there are few
who are pretty cautious about exploit big
data up-to its full potential because a) their
organization is not comfortable or able b)
they have prior experience of unfulfilled
expectations from big data. Being cautious is
not going to help in utilizing this big data
boom but instead one should tackle it
systematically.
9
Insights
There are three mutually supportive
capabilities one need to focus on to
incorporate Big Data in the organization.
First, One needs continuous focus on
creative ways to identify usable data and
exploring new data sources. Second,
building models to predict and optimize
outcomes. One needs to be cautious about
their inherent risks and create
straightforward models. Finally, one
needs to transform the organization which
understand and appreciate the
importance of this new incorporation of
big data and capable enough to exploit it. 1 0
1 1
Managerial
Relevance
India is a developing country and this Big- Data is still new
to many organizations. Few are utilizing it, few are trying
to utilize it but majority is struggling to exploit it up-to its
full potential. First managers himself need to stop shying
away from incorporating it into organization, then, they
can move to second step of “How?”. Managers need to
understand the organization’s need and strategically start
integrating data into their functions.
It’s the manager’s responsibility to ensure the minimum
mismatch between the organization’s capability and
emerging tactics to exploit data successfully.
Thank You !

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Making advanced analytics work for you

  • 1. Making Advanced Analytics Work for You ! INSIGHTS BY: YOGESH KUMAR
  • 2. Big Data is Rising • Big data and analytics is slowly becoming the most important part of corporations. • Most of the top corporations like google and amazon reaches the top of their competition with the help of business models fueled over big data. • Also, big data is attracting huge investments from tech giants too. 2
  • 3. It Works Organizations can improve their performance by definite amount, if they incorporate big data in their core processes. 3 According to research at 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. 6%
  • 4. Leaders Are Still Cautious? • Unable to use the existing data programs up-to their potential. • Current analytics program is too complicated or didn’t yield any insights. • 90’s boom of CRM does not turn out to be as expected and many are still under that impression. 4
  • 5. 5 What’s Needed ? Pragmatic approach tightly focused on how to use the data to make better decisions. Requires three mutually supportive capabilities : 1. Ability to identify, combine, and manage multiple sources of data. 2. Capability to build advanced analytics models for predicting and optimizing outcomes. 3. Management must possess the muscle to transform the organization so that the data and models actually yield better decisions.
  • 6. Choose The Right Data Bigger and better data give more- panoramic and more-granular views of their business environment. • Source data creatively • Be creative about the potential of external and new sources of data • Get the necessary IT support • Quickly identifying and connecting the most important data for use in analytics 6
  • 7. Build Models That Predict and Optimize Business Outcomes Identify the business opportunity and determining how the model can improve performance. Be cautious about the inherent risk that modelling follows. “What’s the least complex model that would improve our performance?” 7
  • 8. Transform Your Company’s Capabilities There is a mismatch between the organization’s existing capabilities and the emerging tactics to exploit analytics successfully. Using big data requires thoughtful organizational change, and three areas of action can get you there. 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. 8
  • 9. Insights Many corporations have reached at top by incorporating big data into their operations and many are slowly realizing its importance and trying to do the same. Still, there are few who are pretty cautious about exploit big data up-to its full potential because a) their organization is not comfortable or able b) they have prior experience of unfulfilled expectations from big data. Being cautious is not going to help in utilizing this big data boom but instead one should tackle it systematically. 9
  • 10. Insights There are three mutually supportive capabilities one need to focus on to incorporate Big Data in the organization. First, One needs continuous focus on creative ways to identify usable data and exploring new data sources. Second, building models to predict and optimize outcomes. One needs to be cautious about their inherent risks and create straightforward models. Finally, one needs to transform the organization which understand and appreciate the importance of this new incorporation of big data and capable enough to exploit it. 1 0
  • 11. 1 1 Managerial Relevance India is a developing country and this Big- Data is still new to many organizations. Few are utilizing it, few are trying to utilize it but majority is struggling to exploit it up-to its full potential. First managers himself need to stop shying away from incorporating it into organization, then, they can move to second step of “How?”. Managers need to understand the organization’s need and strategically start integrating data into their functions. It’s the manager’s responsibility to ensure the minimum mismatch between the organization’s capability and emerging tactics to exploit data successfully.