With several recent reports indicating many companies that have deployed big data have thus far not been able to meet objectives and financial goals with the technology, it is becoming clearer that more thorough planning and strategy creation needs to take place soon.
Although manufacturers and health care providers were among the first entities to really embrace big data, others are now starting to leverage the tools to ensure they can maintain a competitive edge in increasingly saturated marketplaces.
Business intelligence technology and techniques have evolved rapidly throughout the past 15 years or so, and have gone from niche capabilities to ones that are present in a growing number and diversity of organizations.
Advanced analytics began as a means to measure various aspects of corporate performance and market trends more efficiently and quickly, allowing firms to bolster decision-making in a timely fashion.
One of the overarching trends that has been present in virtually all IT transformations throughout the past few years has been the increasing inclusiveness of novel solutions and tools.
When discussing data analytics, professionals working with the technology often refer to the process of collecting raw information and turning it into "actionable intelligence" - a phrase my colleagues and I find to be overused.
The Internet of Things has been one of the most exciting trends in corporate computing throughout the past two years, as a proverbial universe of gadgets and tools are hitting the market quickly.
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.
As opposed to giving you a general overview of how certain teams are using data visualization, I'm going to tackle this discussion from two angles: smart devices and real-time analytics.
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 what Gartner calls “Freeform Interactive Exploration.” Altair scored…