Descriptive analytics:

a. can predict risk and find relationships in data not readily apparent with traditional analysis.
b. companies classify their customers into segments to develop specific marketing campaigns.
c. can use mathematical techniques with optimization to make decisions that take into account the uncertainty in the data.
d. detect hidden patterns in large quantities of data to group data into sets to predict behavior.

D)  Helps detect hidden patterns in large quantities of data to group data into sets to predict behavior

Explanation:

This is a branch of statistics that provides a summary description on a data. It is used majorly to summary of features (variables) in a data-set using number a number of graphical tools are and quantitative analysis. In the summary which is the product of a descriptive analysis, hidden patterns and relationship between features (variables) in a data-set can be revealed and this can be used to predict future behavior.