By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
Customer analytics News
July 07, 2017
Biased data samples or model development practices can derail any company interested in using AI tools and diminish the technology's return on investment.
May 31, 2017
Modern AI tools fall short of true artificial intelligence, and this could have implications for how the technology is used by enterprises in the near future.
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.
Customer analytics Get Started
Bring yourself up to speed with our introductory content
Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads. Continue Reading
Social media analytics is the practice of gathering data from social media websites and analyzing that data using social media analytics tools to make business decisions. Continue Reading
A data scientist is a professional responsible for collecting, analyzing and interpreting large amounts of data to identify ways to help a business improve operations and gain a competitive edge over rivals. Continue Reading
Evaluate Customer analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Companies may be eager to speed up AI implementations to get to the exciting parts, but the less-hyped aspects of data governance can't be rushed, says LendingTree's head of analytics. Continue Reading
The platform war over machine learning tools is heating up. Use our features comparison chart to see how four top vendors stack up and help you decide which is right for your enterprise. Continue Reading
Consultant David Loshin explains some widely used data analytics and machine learning techniques and details how the associated automated algorithms work. Continue Reading
Manage Customer analytics
Learn to apply best practices and optimize your operations.
The data preparation process is becoming harder to manage effectively, especially for big data analytics applications involving large amounts of data from a variety of sources. Continue Reading
Organizations with big data environments are starting to prepare data for analysis before making it available to data scientists and other users, instead of leaving the work to them. Continue Reading
As companies collect customer data and other types of information from more and more sources, the master data management process is becoming even more complex than it already was. Continue Reading
Problem Solve Customer analytics Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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