Business Analytics technology has evolved drastically from the days of Lotus 1-2-3. In those days, you needed a PhD or advanced computer science degree to access data, or even use a computer. Today the goal is to make data understandable to everyone. But how far have we come?
As data reserves continue to grow exponentially, limiting data insights to just a few is too slow and too expensive. So what is the next revolution in the data-to-insight process?
Find out the answers to these questions and more: