Most analytics products today are designed either for the individual or for the enterprise—and each requires a major compromise. On one hand, if you choose an individualized product so businesspeople can create their own reports, the tool probably can’t scale to provide widespread sharing, consistency, or collaboration on those reports,

The topic of prescriptive analytics or optimization (i.e. linear programming) has received increasing attention over the last few years, including new coverage by analyst firms such as Gartner, Advisory Board, Forrester and several industry thought leaders. Why the attention? Prescriptive analytics is analytics science that guides decision-making processes for businesses.

Data science is one of the most recent buzzwords that is gaining popularity in tech circles. With the number of job advertisements on the rise, one may think that data science and their professionals, data scientists, would become one of the most sought-after professionals in the technology job market over

These days, every business is exploring ways to use data and new technologies to gain a competitive edge. While there’s no questioning the value to be found in big data analytics, organizations have had a low success rate to date when it comes to rolling out data initiatives. A recent

EMC, the U.S. multinational corporation and the world’s largest provider of data storage systems, has released the EMC Global Data Protection Index and it turns out that worldwide, enterprises are losing as much as $1.7 trillion through data loss and unplanned downtime. “To create the maturity curve, IT decision makers

It is a truth universally acknowledged that the modern business is awash with data. This data could be the most valuable asset a company has- but only if it’s used right. Last year, McKinsey estimated big data initiatives in the US healthcare system “could account for $300 billion to $450