This presentation is a part of analytics internship under the guidance of prof. Sameer Mathur (IIM-L).

1. Simplify Your
Analytics
Strategy
INSIGHTS BY : YOGESH KUMAR

2. STRUGGLE
WITH
ANALYTICS
Incorporating analytics into
organization results in many
benefits. But, few are cautious
about it because of its complicate
nature while many are struggling
with the complexity generated by
analytics.
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3. WHAT
TO DO ?
Companies should
pursue a simpler and
systematically
structured path to
uncover the insights
from their data.
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4. STEPS TO SIMPLIFY ANALYTICS
1. Accelerate The data .
Fast data = fast insight = fast outcomes.
2. Delegate the work to your analytics
technologies.
3. Recognize that each path to data insight is
unique.
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5. ACCELERATE DATA
Create a data supply chain built on a
hybrid technology environment.
▹ Real- time delivery of analytics
▹ Faster execution time.
U.S. bank for its customer analytics
projects
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6. DELEGATE WORK TO ANALYTICS
Next-gen BI and Data Visualization
▹ Right data.
▹ Right time and place.
▹ Displayed in the right visual form.
▹ For each individual authority.
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7. DELEGATE WORK TO ANALYTICS
Data discovery
▹ Side-project.
▹ Test data to uncover patterns that
are not clearly evident.
▹ More discovery = More
opportunities.
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8. DELEGATE WORK TO ANALYTICS
Analytics applications
▹ Applications can simplify
advanced analytics.
▹ Industry specific and tailored
apps.
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9. DELEGATE WORK TO ANALYTICS
Machine learning and cognitive
computing
▹ Removes much of the human
element from the data modeling
process.
▹ Allows software intelligence to
make even better-informed
decisions.
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10. RECOGNIZE EACH UNIQUE PATH
▹ Analytics include many different
elements.
▹ Business nature based approach.
￭ Known problem with known
solution.
￭ Known problem with unknown
solution.
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11. INSIGHTS
Companies need not to be
cautious about incorporating
analytics because of the complex
nature but rather follow a
structured simple method.
Through this, one can add value to
their organization keeping their
main focus over their important
functions instead trying to analyze
the analytics.
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12. INSIGHTS
The systematic approach to analytics
include few simple paths. First,
companies should create a data supply
chain on hybrid-tech environment with
real-time delivery of analytics. Second,
they need to entrust work to analytics
technologies with the help of real-time
data visualization apps and machine
learning. Finally, companies need to
distinguish different elements of
analytics based on the business
problem and tackle it with either
known hypothesis based approach or
look for any patterns in data.
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13. MANAGERIAL
RELEVANCE

14. Data Analytics is still a new concept (in India) and many usually find it
pretty complex. Managers need to ensure that its complexity does not
cost their organization too much resources and time. Managers needs
to set a structured and simple method for its incorporation by
following the discussed steps and try to exploit it upto its potential.
Managers need to focus on data supply chain and integrate next-gen
analytics and visualization tools for its easy use. Exploiting data will
lead to push the decision making down the heirarchy line and make
organization more efficient and capable .

15. THANK
YOU !