By Gavin Kaimowitz, Simon Lyon and Geoff Cole, Sapient Global Markets | May 21, 2013
Financial services organizations know that they can handle vast amounts of data, since they have been doing it for decades. To succeed with big data initiatives, firms need to think of data's breadth and reach across an organization.
Financial institutions need to do more with data collected during interactions with customers. Text analytics could be part of a complete data analytics solution that providers brokers, advisors and customer service representatives with a better picture of the customer.
Bank Systems & Technology got an early exclusive look at a report to be released tomorrow by Celent that highlights the difficulties many financial institutions are facing in moving towards a data-driven business model.