Although business intelligence has already evolved significantly from the early 2000s, with big data becoming a more prominent tool in use among companies and organizations from virtually every industry, the progression of the technology is far from reaching its pinnacle.
When big data first became a highly popular technology trend, discussions in boardroom meetings related back to volume and variety, as companies were viewing the analytics solutions as viable candidates to help them make sense of the complex and massive information assets.
The Internet of Things has become one of the most discussed trends in corporate computing, all in a relatively short period of time, as the applications of these connected devices and assets are vast.
As many businesses have already started to see, big data did not take long to move from a highly novel and niche movement in corporate computing to one that is relatively crucial to success and widely implemented.
In my previous post announcing Datawatch’s debut on Gartner’s 2015 Magic Quadrant for Business Intelligence and Analytics, we talked about how our strong scores for customer experience contributed heavily to Datawatch’s ranking. Our data discovery capabilities were also a key factor in making the Magic Quadrant cut. A core function for data discovery solutions is […]
When it comes to choosing a big data analytics package, your decision likely depends on how well its visualizations convey information and whether or not it integrates well with existing architectures.