|TABLE 2: Business Problems and Appropriate Algorithms to Solve Them|
||Identify those customers who are most likely to churn (leave) based on customer demographic information.
||MDT without nested table
||Group heterogeneous customers into subgroups based on customer profile to generate a mailing list for marketing purposes.
||Clustering without nested table
||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
||Group customers into generally homogeneous groups based on the customer profile and the list of banking products they subscribe to.
||Clustering with nested table