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GUIDE TO DATA
ANALYTICS
I am Rohit Kar
I am an Electrical
Engineering student
You can find me at
rohit.kar96@gmail.com
2HELLO!
3
LEADING WITH DATA
DATA LITERACY
» Managers should have a working knowledge of
analytics
» They should not blindly rely on analysts
» They should themselves know how to understand
the data
4
“
Torture the data, and it will confess to
everything.
- Ronald Coase
5
6Two Key Insights
Having a clear
understanding of the
problem.
Using Domain Knowledge
7
UNDERSTANDING THE PROBLEM
» Managers should have a clear understanding of the problem
» Before gathering the data managers need to keep the goal in
mind
» Managers has to think of analytics has a strategic imperative
» Experiments should be carefully designed to gather the data
keeping the ultimate goal in mind
8
USING DOMAIN KNOWLEDGE
» Data scientists don’t know everything about the business
» Managers can not only depend on the data and the analysts
to come to a decision.
» They should use their insights of the domain along with the
data to make decisions
9
10
11
HOW CAN
MANAGERS USE
THIS?
UNDERSTAND THE DATA GENERATION PROCESS 12
● Managers should understand the data generation
process
● Managers should think of the problem before they
start gathering the data
● They should have a understanding of the process so
as to detect any flawed or incorrect data
USING DOMAIN KNOWLEDGE 13
● Data Analysts do not know the particulars of the business
● Managers should not blindly follow the data scientists
● Along with the data they should use their expertise of the field they have
gathered over the years to come to the right decision
● Using domain knowledge is crucial
● Domain knowledge along with the data, managers can propel the business to
new heights.
CLOSING OFF 14
Gone are the days when managers use to be data
illiterate. They should understand the data themselves
and not solely rely on the data and data analysts to make
the decisions. This might lead to making wrong decisions.
Data literacy is a must for managers in the digital age.
Without data savvy managers, businesses might fall back
behind on the competition.
Any questions?
15THANKS!

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Week2 day6slide

  • 2. I am Rohit Kar I am an Electrical Engineering student You can find me at rohit.kar96@gmail.com 2HELLO!
  • 4. DATA LITERACY » Managers should have a working knowledge of analytics » They should not blindly rely on analysts » They should themselves know how to understand the data 4
  • 5. “ Torture the data, and it will confess to everything. - Ronald Coase 5
  • 6. 6Two Key Insights Having a clear understanding of the problem. Using Domain Knowledge
  • 7. 7
  • 8. UNDERSTANDING THE PROBLEM » Managers should have a clear understanding of the problem » Before gathering the data managers need to keep the goal in mind » Managers has to think of analytics has a strategic imperative » Experiments should be carefully designed to gather the data keeping the ultimate goal in mind 8
  • 9. USING DOMAIN KNOWLEDGE » Data scientists don’t know everything about the business » Managers can not only depend on the data and the analysts to come to a decision. » They should use their insights of the domain along with the data to make decisions 9
  • 10. 10
  • 12. UNDERSTAND THE DATA GENERATION PROCESS 12 ● Managers should understand the data generation process ● Managers should think of the problem before they start gathering the data ● They should have a understanding of the process so as to detect any flawed or incorrect data
  • 13. USING DOMAIN KNOWLEDGE 13 ● Data Analysts do not know the particulars of the business ● Managers should not blindly follow the data scientists ● Along with the data they should use their expertise of the field they have gathered over the years to come to the right decision ● Using domain knowledge is crucial ● Domain knowledge along with the data, managers can propel the business to new heights.
  • 14. CLOSING OFF 14 Gone are the days when managers use to be data illiterate. They should understand the data themselves and not solely rely on the data and data analysts to make the decisions. This might lead to making wrong decisions. Data literacy is a must for managers in the digital age. Without data savvy managers, businesses might fall back behind on the competition.