Operationalizing Analytics

What it is, why it matters and how to get started

Operationalizing Analytics -TechProspect Operationalizing Analytics -TechProspect

The goal of analytics is to inform decision making. But for that to happen, you must operationalize it in the decisioning process. The problem is that while most organizations are able to build models, they have diculty getting them into production. Analyst firms estimate that only 35% (IDC) to 50% (Gartner) of models are fully deployed. And SAS research discovered that 44% of models take more than seven months to deploy. It’s clear that not enough models are getting deployed, and those that are take too long.

 

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