Retail Industry Analysis
Now a day’s huge amount of data is being captured at a rate never before seen in history of retail industry. The retailer’s goal is to translate that data into the meaningful insight so that they can make their decisions.
Debt Management and Collection Analytics (Pre Delinquency Vintage)
Once the consumer commits a default on his due amount he is moved to collection. Collection team follows up with mails, notices, SMSs, calls and if required debt collector visits.
Debt Management and Collection Analytics (Post Delinquency Vintage)
Debt management and collection is one of the core functions of any financial institution that has some outstanding payment with consumers.
Debt Management and Collection Analytics (Customer Segmentation)
Debt Management or Collection Analytics helps the debt collector or debt recovery processes to understand the behavior of customers, predicting their behavior after defaulting and prioritizes their collection activities to maximize their recoveries and reduce cost.
Data Analytics
Data Analytics is all about solving complex business problem and gaining useful insights from the data. Analytics is discovery and presentation of meaningful pattern in the data to help in scientific decision making. It is particularly useful in data rich industry like Banking, Insurance, Telecom, Market Research, and Healthcare.