Customer analytics News
February 06, 2017
Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well.
January 03, 2017
Predictive analytics, voice-activated devices and artificial intelligence will take shape as significant technology trends in 2017. Some still await further maturity.
November 03, 2016
The internet of things is more than just a data source for analytics. Powered by cognitive computing platforms, it can turn devices into conversant tools.
October 27, 2016
There's a huge amount of excitement around IBM's cognitive computing tools, but users are still looking for ways to implement them in their businesses.
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A/B testing is a statistical method used to assess proposed changes to a product or service. Continue Reading
Many businesses lack a clear A/B testing strategy when implementing changes to their websites, which means they often miss out on potential opportunities to drive improvements in site performance. Continue Reading
Data science as a service (DSaaS) is the delivery of analytical reports and data products with embedded analytics produced by a service provider's team of data scientists to a client enterprise. Continue Reading
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As the market continues to undergo a series of major mergers and acquisitions, some observers say to expect more technology M&A in 2017. Continue Reading
Enterprise AI and market consolidation will continue to cast their shadows unabated in 2017. Continue Reading
Analytics technologies like the internet of things and cognitive computing mean we cannot have all the data on a given subject. So, what does that mean for big data? Continue Reading
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Marketing is second only to sales in terms of analytics application -- and it's where the odds of business success can most effectively be changed for the better. Continue Reading
Data analytics can help improve decision-making in organizations. But human intuition and judgment need to be part of the picture to keep analytical models from going awry. Continue Reading
Companies such as Yahoo, Merck, Macy's and eBay have moved to clear obstacles that were blocking the path to success with big data analytics applications. Continue Reading
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The challenges encountered in deriving business benefits from big data are huge, but so are the rewards. Hadoop and related technologies are easing those challenges to the point where companies are willing to graduate from experimental to full-blown... Continue Reading
In some organizations, corporate lawyers are tasked with protecting data from analytics abuse. But they need to avoid tying the hands of data scientists. Continue Reading
Customer data management is not high on many organizations' lists of priorities -- until it has to be. Customers get the same ads over and over again. They say a company they've done business with for years doesn't know them. Or thinks they're ... Continue Reading