Extracting value from considerable data investment is a boardroom concern. Over the past few years, organisations have invested millions of pounds in their Big Data strategy; analysing massive data sets to reveal patterns, trends, and associations, especially relating to human behaviour and interactions, in order to understand their customers, products and processes better.
Many organisations are now asking whether these investment decisions have or will ever deliver against the business case, particularly those companies dealing with significant run costs in maintaining their data landscape. However, JCURV has found most of the value from data is being left on the table.
Payal Jain, Chair of WiD UK, picks through some of the issues surrounding the management of big data and its complexity, and proposes innovative agile methods for timely, measurable results.