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 ...

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 ...

Descriptive analytics -- looking into what has happened in the past -- is commoditized. Traditional BI, reports, and dashboards are well understood and used in one way or another across a wide ...

The role of a marketer has changed dramatically over the past two decades. I’ve seen it firsthand, having led marketing teams at technology companies of varying sizes and stages of maturity, from a ...

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 ...

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 ...

We’ve all heard the phrase “data-driven decisions” in reference to organizational leaders aspirations' to use hard facts and figures to inform their business decisions. In higher education, the core ...

The phrase "big data explosion" is quickly becoming a cliche in the business intelligence space. By now, those who are familiar with how quickly data is being generated are well aware that the ...

While predictive analytics have been an ed tech buzzword in recent years, they are but a midpoint in the evolution of data analytics in higher education. What began as descriptive analytics, the ...

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 ...