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Customer analytics News
January 17, 2018
The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.
December 15, 2017
More data doesn't always benefit predictive analytics projects. Data sources must be scrutinized and understood before being used in a predictive model, experts warn at the AI World conference.
September 14, 2017
Breaking down data silos is rarely easy, but doing so can lead to more effective analytics that bring together data from all of a business's operational systems.
July 31, 2017
Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
Customer analytics Get Started
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Predictive analytics is no longer confined to data scientists and other highly skilled analysts. But other users need to understand what it involves before they start building models. Continue Reading
Data preparation is the process of gathering, combining, structuring and organizing data so it can be analyzed as part of data visualization, analytics and machine learning applications. Continue Reading
Advanced analytics is a broad category of inquiry that can be used to help drive changes and improvements in business practices. Continue Reading
Evaluate Customer analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
This big data analytics tools comparison examines products from the leading vendors and provides insight into how you can differentiate between the various offerings. Continue Reading
Before purchasing big data analytics software, companies must first identify their specific needs and then evaluate how the product features address those needs. Continue Reading
The past year was the first time we saw AI tools have a real impact in businesses. That trend will continue in 2018, says the vice president of engineering at online real estate site Trulia. Continue Reading
Manage Customer analytics
Learn to apply best practices and optimize your operations.
Blind faith in predictive models can result in flawed business decisions. Analytics teams need to manage predictive processes carefully to keep things on the right track. Continue Reading
Predictive analytics initiatives must be planned and managed effectively to ensure that they don't miss the mark on meeting business needs. Here's an approach to help keep them on track. Continue Reading
At most companies, the chief data officer role tends to focus on data governance and management issues, but at AT&T, AI is set to be a big part of the executive's remit. 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.
As the amount of patient data in hospitals continues to grow, healthcare big data analytics can help improve patient safety by providing valuable insights in near-real time. Continue Reading
Azumi Mobile, a smartphone manufacturer, takes advantage of software from DeviceBits to merge AI, machine learning and predictive analytics to overhaul its customer experience journey. Continue Reading
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