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Analytics Trends 2015
A below-the-surface look
Analytics momentum continues to grow, moving squarely into the mainstream of business decision-making worldwide. Put simply, analytics is becoming both the air that we breathe—and the ocean in which we swim. Take a below-the-surface look at our Analytics Trends Report.
Quadruple down on data security
In 2014, the business world got walloped on the issue of data security, and there are few reasons to believe 2015 will be much better. With the volumes of data being captured and managed by organizations today, analytics is the first and last line of defense for data security—a theme that pervades all the other trends on this list.
The Analytics of things
As the Internet of Things generates massive amounts of structured and unstructured data from new sources, are companies prepared with the new class of big data analytics required to uncover and capture value?
Monetize this?
A lot of people are saying that data shouldn’t just be managed as an asset—it should be valued as one. So the more data you have, the better, right? It may not be so simple.
Bionic brains
The convergence of machine and human intelligence is disrupting traditional decision-making, as cognitive computing leads to cognitive analytics. While both are still in their early stages, it’s time to start wrestling with the implications on businesses, industries—and society at large.
The rise of open source
As open source solutions continue to find new inroads into the enterprise, do business and technology leaders have a handle on their proper place in the ecosystem?
Tax analytics: Striking gold?
Tax leaders within companies have generally been slower to adopt analytics than their peers in other parts of the business. But now many view this as the time for the quantitative fi of tax to take its game to the next level.
Accuracy quest
The data brokerage business continues to heat up—along with questions about the underlying accuracy of all that data trading hands. How much inaccuracy is acceptable—and what’s the plan for improving the data with so much at stake?
