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Working hand in hand, descriptive and prescriptive analytics can provide the guidance and intelligence that enhance the customer journey across all of your marketing and communication channels.
While descriptive analytics is the foundational form of data analytics, there are three other key types that are used in many organizations today: diagnostic, predictive, and prescriptive.
With growing demand for more sophisticated, forward-looking solutions, vendors are taking basic descriptive analytics to the next level with predictive and prescriptive solutions. But where do ...
The first rule of prescriptive analytics is that you do not talk about prescriptive analytics—not before you've paid your dues in descriptive, diagnostic, and predictive analytics.
Articulating the Problem According to Jordan Morrow, author of the book “Be Data Literate,” there are four main stages to data analytics: descriptive, diagnostic, predictive, and prescriptive. The ...
With data in hand, you can begin doing analytics. But where do you begin? And which type of analytics is most appropriate for your big data environment? In a phone interview with InformationWeek, Wu ...
Yet, while AI-based predictive analytics is already gaining traction, prescriptive analytics — figuring out what to do with the predictive insights — is a bit more elusive today.
Here we explore the ways predictive analytics and prescriptive analytics are being used in the call center today, and trends to watch for tomorrow.
We’ve changed the paradigm of analytics, not just from diagnostic and descriptive, but now looking at predictive and prescriptive analytics, bringing in AI, AutoML, augmenting the way people ask ...
To make analytics a competitive differentiator, we must move from descriptive insights to predictive foresight — and ultimately to prescriptive action.
Add to descriptive analytics, predictive analytics and prescriptive analytics, a fourth category, automated analytics, writes CIO Journal Columnist Thomas H. Davenport. While systems that take ...