TABLE 2: Business Problems and Appropriate Algorithms to Solve Them
Scenario Algorithm
1 Identify those customers who are most likely to churn (leave) based on customer demographic information. MDT without nested table
2 Group heterogeneous customers into subgroups based on customer profile to generate a mailing list for marketing purposes. Clustering without nested table
3 Find a list of other products that each customer might be interested in based on the products the customer has purchased. MDT with nested table
4 Group customers into generally homogeneous groups based on the customer profile and the list of banking products they subscribe to. Clustering with nested table