If I had a nickel for every time I've read or heard the phrase "data analytics can provide you with actionable insight," I'd probably have enough money to buy me at least three Big Macs.
How does one differentiate high-quality data from low-quality data?
Although there are plenty of people out there who would use the words "dashboard" and "visualization" to describe the same thing, that doesn't mean they're necessarily right in doing so.
Depending on who you speak to, the concept of storytelling can be either very definitive or ambiguous.
When discussing big data, people could be talking about either one of two things: the technology or the industry. This post will focus on the latter.
Want to figure out how to build a better car? Take a page from Mercedes AMG and companies competing in the Formula One U.S. Grand Prix.
From time to time, I've spoken with marketers about how they're using data analytics, often finding they're leveraging the technology to "find stronger leads" for their sales departments.
If you're a frequent reader of this blog, you've probably come across the term "real-time analytics" more than once. So, I'd like to ask - why can't the same analytical approach be applied to network and database defense?
Sure, there's a lot IKEA can learn from a Web-connected recliner, but imagine the kind of insight a business such as General Motors or Ford could gain by scrutinizing data produced by a car equipped with smart devices.
Analytics isn't being applied to improve just one facet of electricity distribution.