This ebook, based on the latest ZDNet / TechRepublic special feature, explores how you set up an analytics infrastructure that sees around corners and gives you options to avoid a head-on crash. Read ...
In this special guest feature, Will Fellers, Product Manager at Quantum Spatial Inc., explores different types of analytics – descriptive, predictive and prescriptive – and discusses how companies can ...
Understanding your customers when there’s only a handful isn’t too difficult. But as your company grows and the number of customers expands rapidly, it can be overwhelming to keep up with the change.
Measurement insights are a key part of optimizing your customer experience. At every step in the journey, it is critical that you understand what consumers are doing and how your channels and touch ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Robert Kelly is managing director of XTS ...
Improved interoperability can lead to greater connectivity that produces real-time data to enrich enterprise analytics tools—optimizing prescriptions, and ultimately producing better outcomes. The ...
Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Amilcar has 10 years of FinTech, blockchain, and crypto startup ...
The majority of raw data, particularly big data, doesn’t offer a lot of value in its unprocessed state. Of course, by applying the right set of tools, we can pull powerful insights from this stockpile ...
Here we explore the ways predictive analytics and prescriptive analytics are being used in the call center today, and trends to watch for tomorrow. Predictive analytics can help evaluate behavioral ...
Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...
I was watching a short video by Babson College Prof. Thomas Davenport on the Harvard Business Review website recently and found it to be a good, simplified explanation of analytics. (Stop! Don't swipe ...
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