Predictive analytics uses data from the past to predict future outcomes. The analysis involves using large amounts of past data, basic statistical methods, and important assumptions. While not magic, predictive analytics can provide informative insights when done correctly. However, there are risks of errors if the analysis lacks good data, excludes key variables, or uses the wrong statistical model. For Indian managers specifically, predictive analytics can help increase sales and marketing effectiveness by providing insights into customer preferences if models are correctly developed based on comprehensive customer data and surveys.

1. A Predictive
Analytics Primer
By - Thomas H. Davenport

2. Thomas H. Davenport

4. A way to predict the
future using data
from the past.
Predictive Analytics

6. INFORMATIVE
INSIGHTS

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.

11. RELEVANCE
TO
INDIAN MANAGERS

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.

15. Presented By : -
Sahil Kumar
IEM Kolkata