What good is analytics if no one takes action on it? Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions—at the point of decision making. These systems might be automated or provide manual, actionable insights. Analytics is currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex, and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, asset management, customer call centers, and recommendation engines—to name just a few.

 
Embedding analytics is certainly not new, but it has been gaining more attention recently as data volumes and the frequency of data continue to increase. Companies realize that making analytics programmatic by automating it can be beneficial to both the top and bottom line. Another big advantage of operationalizing analytics is that it makes it more consumable. With more people using analytic output, its value increases.
 
Join Fern Halper, director of TDWI Research for advanced analytics, to learn more about the research findings of her new Best Practices Report about operationalizing and embedding analytics. Fern will present her findings as well as best practices for getting started operationalizing analytics.

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17:00 - 18:00 hs GMT+1

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TDWI
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