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 every industry, leadership teams are under pressure to deliver consistent growth in unpredictable conditions. Markets ...

The New Era of Small Business FundingIn today’s rapidly evolving business landscape, small businesses are increasingly ...

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 ...

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 ...

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

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, ...

LSEG launches Model-as-a-Service and welcomes Societe Generale to its model marketplace ...

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 ...