Founder and Managing Principal of DBP Institute. I consult companies on how to transform technology and data into a valuable business asset. There are many reasons for this poor success rate, one of ...

In explaining a data and analytics operating model, it is helpful to understand the business context. As the consumer experience becomes increasingly digitized, companies have access to massive troves ...

Recently, I was working with one of our data scientist (Wei Lin, pictured below with his son Lucas on a trip to the Grand Canyon…yes, we do occasionally let our data scientists have a life) on a ...

If you’ve attended an edtech conference at any point since 2012, then you’ve likely seen some variant of Gartner’s analytics maturity model. While some fair criticism of the model exists, there are ...

HIMSS Analytics has launched a new maturity model to help healthcare organizations measure how their technology deployments compare with their peers. The new Infrastructure Adoption Model, or INFRAM, ...

Inaccurate or overlooked alerts on manufacturing data can be reduced with proper data handling when developing and deploying predictive models. Data analytics, and specifically predictive analytics, ...

Salt Lake City-based Intermountain Health has sold its proprietary behavioral health analytics model to Philadelphia-based NeuroFlow, a behavioral health technology company, to expand the model’s ...

What’s the future of healthcare? Ask a health executive and there’s a good chance they’ll say predictive analytics. As the engine that turns the raw materials of “big data” into actual insights that ...

Predictive analytics models can help you completely transform every aspect of digital marketing. Here's how to take advantage of it. Predictive analytics is the method of using historical and recent ...

Meet Spin Analytics, a startup that wants to leverage artificial intelligence to automatically write credit risk modeling regulation reports. The company is participating in Startup Battlefield at ...