Think back to a strategic business decision you or your team made recently. Perhaps it was around pricing strategy to fend off a new competitor, or maybe it had to do with vendor evaluation for a new product? Now focus on the process used to make the decision. Who was involved? What information was used? Was the information accurate, relevant and understandable? Did team members share an intuitive understanding of data and probe for deeper analysis? Or was the decision

are the ones asked at the beginning of a project! That is, if you're smart. Far too many analytics projects fail due to a lack of a robust process of framing the right questions at the outset. In the words of Peter Drucker, “There is nothing quite so useless as doing with great efficiency something that should not be done at all.” Inexperienced managers often act under pressures of execution and rush through what is possibly the most crucial factor in determining the outcom

There’s a ton of hype around Big Data – it’s been there for years, and the crescendo has been steadily building. IDC forecasts the worldwide Big Data technology and services market to reach $48.6 Billion by 2019! That's huge! However, before your organization commits valuable resources of time, money and effort towards a Big Data initiative, ask yourself this vital question : Before we tackle Big Data, have we got Small Data right? Specifically, do we have the culture, proce