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Customer analytics News
April 05, 2017
Artificial intelligence apps provide invaluable insights and assistance for a host of business processes, and today's uses are just the tip of the iceberg.
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.
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Machine learning tools are becoming a more common component of advanced analytics applications, especially in big data environments. But they have to be focused on real business issues. Continue Reading
Single source of truth (SSOT) is a concept that an organization can apply as part of its information architecture to ensure that everyone in the organization uses the same data when making business decisions. The aim of adopting a SSOT is to provide... Continue Reading
Data mining may not be on the tip of people's tongues in these data science days, but advanced analytics applications won't get far without effective techniques for mining data. Continue Reading
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Consultant David Loshin explains some widely used data analytics and machine learning techniques and details how the associated automated algorithms work. Continue Reading
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
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Self-service analytics tools are fueling the citizen data scientist trend, helping companies compensate for a lack of analytics skills in the market and making analytics more accessible. Continue Reading
Experienced users of machine learning tools share how their organizations are using the technology to solve a variety of analytics problems in their businesses and for customers. Continue Reading
A few months ago, Uber released its self-developed data visualization tool into the open source world. Now it hopes innovation will flow back into the company. 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