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 ...

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 ...

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 ...

Today, organisations across sectors deal with vast quantities of data, ranging from customers’ personal details, browsing habits, and purchasing histories. By leveraging analytics, businesses are able ...

Divya Malhotra, director of analytics and innovation at Connecticut-based Stamford Health, spoke with Becker’s Hospital Review about deploying data to clinicians and seizing the power of descriptive ...

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 ...

A typical organization loses 5% of its revenues to fraud each year, and, in the U.S. alone the total cost of (non-health) insurance fraud is estimated at more than $40 billion per year, according to ...

Data-driven marketing simply put means using quantitative methods to derive meaning from data to make informed marketing decisions. Thanks to the availability of a massive amount of data, data ...