Adatao has raised $13 million to revolutionize Big Data

The technology world is seeing a huge increase in activity in the analytics space. Essentially all the startups delivering an analytics solution are betting big on the fact that organizations buy into the ability to generate real value from analyzing data from both within existing organizational systems and from the massive amounts of data rolling around social networks and connected devices. But there is something of a disconnect in many of the existing systems and that disconnect lies in the very way analytics occurs both from an organizational perspective and a technological one. On a technological level, most analytics systems are separated into two distinct parts. There are the big heavy processing engines that require data scientists to manipulate them, and there are the visualization tools that paint the “pretty pictures” that people can actually use. From an organizational perspective, often these two groups sat in different locations, tinkering on their different tools and communicated via email. The ideal is to have these two parts sit on a common platform with collaboration enabled in-between.