3. IMPORTANT SKILLS IN ANALYTICS
Thinking Skills
Analytical Problem Solving Skills
M
ANDATORY!!
4. How thinking skills are Relevant in Data Analytics
‣ If one is good in Analytical Skills then he can easily spot the difference
between good and bad data just by having a look at it.
‣ The main reason for Analytic results going bad is that the Data collected
is not coming from the experiment.
‣ The managers and Analytics team should strategize some questions that
can solve their problems and then perform a survey on that same
questionnaire.
5. “IF YOU DO NOT KNOW HOW TO
ASK THE RIGHT QUESTION
YOU DISCOVER NOTHING”
W.Edward Deming
7. 1. Define The Problem
The Data Collection
has to match the
specific Business
Problem of the
Company
8. “HE WHO WOULD SEARCH FOR
PEARLS MUST DIVE BELOW”
John Dryden
9. 2. Understanding Data Generation Process
Analytics is all about
comparison between
two groups.It is
important to select
the groups wisely, but
those two groups
should not be
affected by a third
variable
10. 3. Use Domain Knowledge
Do not blindly accept
the result of Data
Analytics but also
apply the knowledge
of Business on that
Data to verify its
credibility.
11. 4. Know-it-Just Not-Think it
Each and every
employee of the
Company should
have a right to ask
question on the
relevance of
Analytics.
Knowledge should be
shared in the
organization.
12. TIPS FOR MANAGERS
Data Analyst does not have a thorough knowledge in
Business. Its the Manager who can apply their knowledge of
Business to account the Results of the Analytics performed
by the Data Analysts.