TDWI Web Seminar: Operationalizing Big Data Analytics with Philip Russom

In one of the strongest trends today, many user organizations are moving deeper into advanced analytics with big data.  That's because conventional wisdom now tells us that there are leverage-able business insights to be discovered in big data.

Many businesses are deploying teams and tools for big data analytics in silos that are disconnected partially or wholly from the rest of an enterprise.  Organizations in this situation are not getting full business value from the new insights being discovered because they are rarely shared throughout the company. 

Operationalizing big data analytics is a solution to this problem.  Analysts must take their insights to the business intelligence (BI) team and not just their immediate management.  By doing this, the BI team will be able to create reports, dashboards, metrics, etc. for the entire organization to track and react to the insight if needed. 

In this webinar, you will learn:
  • The importance of turning isolated, ad hoc analytic insights into repeatable BI solutions consumed by a broad range of users.
  • Examples of analytic applications that should feed into non-analytic BI solutions
  • Technologies and best practices that help you operationalize one-off analytic epiphanies based on big data and other datasets
  • How establishing this type of analytic culture can become the organization's competitive secret sauce

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