I want to implement a segmentation methodology for a bank for their business banking clients - SMEs, MSBs, etc. The type of data they have includes: client level data (client industry, current status (active/inactive), what branch they opened their accounts, etc.), product holding information (what products they hold, product activation date/tenure, interest and fee income in the last 2 years, etc.), bank-to-bank transactions, POS billing, and more. The types of products include: POS, payment gateways, credit, debit and prepaid cards, fixed deposit accounts, interest bearing accounts, insurance account, trade finance (letter of credit and letter of guarantee), etc.
The client has both SAS EG and SAS EM. I wanted to know, from anyone's experience here, what the best clustering technique for this use-base would be. I have very little experience with SAS EM, but am I correct in assuming it supports the most common clustering algorithms - k-means, SOMs, hierarchical, etc.? Note that retail customers are completely excluded in this use-case.
Any guidance would be appreciated. Please move this accordingly if it doesn't fit here.
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