It’s hard to get creative about reporting. Analysis is, by its very nature, a standard set of processes, so drawing innovative conclusions from something so notoriously static can be incredibly difficult.
Generally, when we think about data and data analysis, we think about complex cross-relational insights, slicing and dicing data hoping to learn how to shave microseconds off of a production time, or something equally complicated and seemingly out of reach.
According to Gartner’s recent 2012 Hype Cycle for Emerging Technologies, Big Data analytics is just about to hit its “peak of inflated expectations.” For those unfamiliar, Gartner’s hype cycle purports to “highlight the common pattern of over-enthusiasm, disillusionment and eventual realism that accompanies each new technology and innovation”. Meaning, when a technology is just nearing the top of the hype curve, such as Big Data is, we’re all about to be disappointed. With the big buzz around big data, what can we truly expect? Big returns or truly big hype?
It’s been a big week at Birst HQ. We’ve launched an awesome freemium product, been named the #1 cloud-based BI solution, were placed on Information Management’s 40 Vendors to Watch List, and we’re rocking the floor at Dreamforce 2012 and TDWI in Boston.
The hottest tech trend of the year is Big Data, the application of powerful new analytical tools to the mountains of data now being created by the Cloud and by millions of new sensors embedded into the natural world.