Analysis of "A Predictive Analytics Primer" by Thomas H. Davenport

1. A Predictive
Analysis Primer
By : Thomas H.
Davenport

2. Interesting Insights from
the Article

3. Customer Lifetime Value (CLTV)
should be measured by each and
every organization to have an
idea how much a customer will
buy over time from the company.

4. Analytical Prediction of what the
customer is likely to buy next
should be done using digital
marketing models.

5. Quantitative Analysis is done with
a lot of important assumptions viz.
Data, Statistics etc.

6. Who the customers are buying,
what have they bought in the past,
attributes of the products
purchased and some demographic
attributes of the customer are
pivotal.

7. Regression analysis i.e. finding the
right combination of correlated
variables that influence the sales
of a particular product is a primary
tool for any organization.

8. The assumptions should be valid
at every point of time so that the
model cannot become outdated
thus leading to crisis situation.

9. Relevancy of the Insights
to a Manager in India

10. Manager should be highly aware
of the validity of the assumptions
used in the predictive model.

11. Moreover,