7. Predictive Analysis is gaining
popularity and managers need
to know a few basics along
with past data, simple
statistical knowledge and
assumptions to keep up.
8. The quantitative analysis isn’t
magic—but it is normally
done with a lot of past data, a
little statistical wizardry, and
some important
assumptions.
9. Knowledge of where the analytics
errs are.
● Lack of good data.
● Exclusion of key variables in
assumptions.
● Use of wrong statistical model.
12. Predictive analysis can help
managers increase sales and
marketing. It’ll give them an
idea about customer
preferences and how to
capitalize upon them.
13. In the diverse market of INDIA,
Predictive analysis will go on a
long way in maximizing the
sales if managers can correctly
survey and create these models.