Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Data analytics is defined as the capability ...

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 ...

A good analytical model should satisfy several requirements, depending on the application area. A first critical success factor is business relevance. The analytical model should actually solve the ...

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 ...

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, ...

Credit reporting giant TransUnion LLC today is introducing a new artificial intelligence capability designed to accelerate ...

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 ...

Data access empowerment operating models enable public health leaders to make timely, informed decisions with trusted intelligence and faster insights.

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 ...