This guide provides managers with information on how to effectively use data analytics. It discusses the importance of data literacy for managers, having a clear understanding of the problem being addressed, and using domain knowledge. Managers should have a working knowledge of analytics in order to understand data and not rely solely on analysts. They must also understand the problem and design experiments carefully before gathering data. Using their expertise in the business domain, managers can make more informed decisions by combining data insights with their own knowledge.
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
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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
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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
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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.