The appetite for businesses incorporating Big Data is growing significantly as the data universe continues to expand at an astronomical rate. In fact, according to a recent Accenture study, 79% of enterprise executives agree that companies that do not embrace big data will lose their competitive position and could face extinction. Especially for financial institutions who capture and consume incredible amounts of data, the challenge now becomes making sense of all this data. How can banks, credit unions, and other lenders use data to innovate?
The resources required for a typical analytics project is vast. Time, money and talent are all key factors in garnering maximum value from all the big data the digital economy produces. The ability to make sense of this data, to intelligently has become a core business need. Add to this the ever-increasing technical demands of understanding ever-more complex data and the need for a solution that grows with the company and adapts to the times is key.
But what if you could increase the quality and quantity whilst keeping costs under control and access meaningful insight in seconds?