Data Visualization Blog

How are companies handling big data enablement?

Posted by Michael Morrison

How are companies handling big data enablement? The dramatic increase in information volumes around the globe has ushered in a new era of analytics capabilities, but has also placed a bit of strain on the average business infrastructure.

The next step in big data analytics

Posted by Ben Plummer

The next step in big data analytics 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.

Big data, smarter staffing

Posted by Michael Morrison

Big data, smarter staffing In the past few years, analysts have argued that the skills gap facing businesses will intensify and spread significantly.

The new demand of analytics

Posted by Dan Potter

The new demand of analytics 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.

Devices, real-time analytics and the next wave of athletics

Posted by Dan Potter

Sensors will help sports medicine experts identify and assess athletic pain. 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.

Making sense of connected things through big data

Posted by Michael Morrison

Making sense of connected things through big data 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.

Visual data discovery in law

Posted by Ben Plummer

Visual data discovery in law The legal sector, as well as corporate law, has been forever transformed by the advent of electronic information storage, analysis and discovery.

Data analytics use cases expand in the IoT

Posted by Michael Morrison

Data analytics use cases expand in the IoT 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.

Making the Gartner Magic Quadrant, part 2: data discovery advantage

Posted by Dan Potter

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 you need to support big data

Posted by Michael Morrison

Big data comes with a wide variety of concerns, especially in regard to storage and networking. 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.

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