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 ...

As companies shift critical AI workloads toward owned or more controlled infrastructure, several accounting dynamics may ...

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 ...

Public health systems sit on mountains of data — yet insight remains scarce. The organizations closing that gap aren’t just investing in better dashboards. They’re fundamentally rethinking who gets to ...

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, ...

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 ...

Predictive analytics involves using data, statistical algorithms and artificial intelligence to anticipate future outcomes, trends, behaviors and events based on historical customer data. This ...

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 ...

Google Analytics is removing four attribution models in October 2023. A new "calculated metrics" feature will allow custom combinations of metrics. Users should audit reports and test new models now ...

If you wandered the trade show floor at the American Baseball Coaches Association convention in Washington, D.C. this past January, it was impossible to miss the shift. Technology booths sprawled ...