Cybercrime

Big Data, Big Mess: Sound Risk Intelligence Through Complete Context

When it comes to cybersecurity, perhaps nothing has been as highly touted as the answer to every executive’s prayers as big data.

Years after “big data” became just another marketing buzzword, organizations are still grappling with the issue of how to use that data in a practical way.

<p><span><strong>When it comes to cybersecurity, perhaps nothing has been as highly touted as the answer to every executive’s prayers as big data.</strong></span></p><p><span><strong>Years after <strong>“big data”</strong> became just another marketing buzzword, organizations are still grappling with the issue of how to use that data in a practical way. </strong></span></p>

When it comes to cybersecurity, perhaps nothing has been as highly touted as the answer to every executive’s prayers as big data.

Years after “big data” became just another marketing buzzword, organizations are still grappling with the issue of how to use that data in a practical way.

Data is useful, but only if it’s being properly interpreted and conveyed. The problem isn’t with data, but with the way in which people are using it. Simply put, data alone is missing context.

Data alone presents a few problems, but many of them emerge from a single misguided view – 
that big data is the answer, not part of the answer.

Data without “complete context” is like a box of chocolates without the filling. It looks tasty, but bite into any of it and its nothing but air. All the good stuff is missing.

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