Financial service institutions are looking at new channels to acquire customers while building more effective and profitable relationships with existing ones. Big data analytics can be used to build stronger relationships with customers that increase their lifetime value and grow loyalty.
Big data analytics help financial services firms in all three phases of the customer lifecycle: acquisition, engagement and retention. By building detailed profile and behavior models, personalized offers and strategies can be applied in all phases.
Customer analytics is part of a multi-pronged approached to big data analytics by financial institutions. Firms large and small are using big data analytics beyond customer analytics in areas such as risk management, regulatory compliance, fraud detection and security.
As more information about customers is captured and stored, securing Personally Identifiable Information (PII) is imperative. Does your analytics platform support critical security, privacy and encryption features to keep customer PII locked-down?
How to Engage Financial Services Customers Using Big Data
Tuesday, August 17th | 3 p.m. CEST & 11 a.m. PT
Increasing competition and new disruptive business models have shifted the battleground in financial services to building and maximizing customer relationships. Please join Cloudera and Datameer for our upcoming webinar on August 17 where you can learn how you can use big data to broaden your customer footprint and create more valuable relationships with your customers.