It seems that we’re all in agreement that big data analytics will drive amazing advances for humans, businesses and science. With all the hype about the potential of big data + analytics out there, its no surprise we often get asked how big data analytics differs from what users can already do with their existing business intelligence (BI) tools. Our response is a straightforward one: big data analytics is not a replacement for BI, but goes beyond BI to address new and expanded use cases.
How? We created a short white paper that explains what constitutes a big data analytic use case, how they differ from BI use cases and outlines the elements and ROI of several horizontal use cases.
You can download the paper here.