Have you ever worried that your analytics tools are too much like black boxes, limited to specific, pre-conceived situations? And that making decisions based on static data in a rapidly fluctuating environment can predispose your business to faulty decision making?
In this culminating article of our series, we’ll be looking at the last of the three big data challenges facing businesses today: complexity, consumerization and continuity (for an overview, see Part 1). We’ve shown how you can cope with the first challenge: the staggering complexity of today’s big data and data science.
Author: Phani Nagarjuna