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 ...
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 ...
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, ...
"Analytics as a discipline has changed dramatically in the last five to 10 years – and for sure in the past five," says Anne Snowdon, chief scientific research officer at HIMSS. "With the explosion 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 ...
Rohit Amarnath is CTO of Vertica, a unified analytics platform that enables predictive business insights based on a scalable architecture. There’s no debate: Data is one of the most valuable assets ...
Gaining customer trust has long been cherished among executive teams as a way to build brand value. Traditional metrics have been central for managing customer trust. But digital media and associated ...
Under the agreement, Speedata's APU will serve as the primary processing engine underpinning [AI] Platform's managed compute ...
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