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Implementing Predictive Analytics

Time: 60:00

In This Web Seminar

Predictive analytics reveal patterns within large volumes of data to help you drive greater value from your data warehousing investments. You understand not only what happened in the past, but you can make accurate estimates about what will happen in the future. Many organizations are using predictive analytics to better anticipate customer behavior, detect fraud, forecast revenues, optimize business processes and more. In this web seminar hosted by TDWI, you will learn best practices and pitfalls involved in implementing predictive analytics, plus how to:

  • Hire and organize a predictive analytics team
  • Leverage the data warehouse to optimize the predictive analytics process
  • Increase awareness of predictive analytics' capabilities within the organization
  • Optimize analytics to solve business challenges and increase profitability
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About the Presenters

Presenter

Wayne W. Eckerson, Director of Research and Services, TDWI

Wayne has 17 years of experience in the IT industry and has covered DW and BI issues since 1995. He has authored many in-depth reports, a column for several business and technology magazines, and is a noted speaker and consultant in the BI industry. His book, Performance Dashboards: Measuring, Monitoring, and Managing Your Business, was published by John Wiley & Sons in October 2005.

Presenter

Arlene Zaima, Manager, Advanced Analytics Program, Teradata

Arlene is responsible for the development and execution of worldwide marketing initiatives and program development for Teradata advanced analytic solutions.

 
 

Next Steps

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The Secrets of Building an Agile, Adaptable BI Environment

Join TDWI’s Wayne Eckerson and Teradata’s Edward White as they present a practical framework and case studies for building a BI environment.

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