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Archived Webcast Originally Presented
Thursday, April 16, 2009

Putting Predictive Analytics to Work (audio seminar)

Presented By:
James Taylor, CEO of Decision Management Solutions; Mary Grace Crissey, SAS


 

Seeking out increasingly small margins has brought analytics into vogue. Organizations realize that they can gain analytic insights about customers, products, channels, partners and much more. But some companies are already finding that analytics is only a part of the process – the intelligent application of the findings of these new insights can only pay off if the decisions that are made are correct.

Translating analytics into better operational outcomes requires a new conceptual framework – decision management. By applying this framework and becoming more decision-centric, by using business rules to control those decisions and by leveraging predictive analytics, companies are truly putting predictive analytics to work.

Join us for this fascinating seminar and learn:

  • How better operational decisions deliver ROI
  • What the challenges are in applying predictive analytics to these decisions
  • What Decision Management is and how it addresses these challenges
  • How companies have benefited from this approach

About James Taylor, CEO of Decision Management Solutions; Mary Grace Crissey, SAS

James Taylor
James Taylor is CEO of Decision Management Solutions and one of the leading experts in decision management. Taylor works with clients to develop effective technology solutions to improve business performance.

Taylor was previously a Vice President at Fair Isaac Corporation where he developed and refined the concept of enterprise decision management or EDM. The best known proponent of the approach, Taylor is a passionate advocate of decision management. He has 20 years experience in all aspects of the design, development, marketing and use of advanced technology including CASE tools, project planning and methodology tools as well as platform development in PeopleSoft's R&D team and consulting with Ernst and Young. He develops approaches, tools and platforms that others can use to build more effective information systems. He is an experienced speaker and author, with his columns and articles appearing regularly in industry magazines.

Mary Grace Crissey
Mary Grace Crissey is the Marketing Manager for SAS Analytics. Crissey holds an MS in Management Sciences from the University of Maryland, College Park and gained 20 years of mathematical modeling expertise as an active duty military officer. Currently she holds leadership appointments with several professional societies including Knowledge Discovery and Data Mining (ACM/KDD) and the Institute for Operations Research and the Management Sciences (INFORMS).

SAS SAS Analytics can be applied to a vast range of business challenges across many industries and departments. To learn more about what you can achieve with SAS Analytics, explore the SAS Analytics Info Kit.



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Minimum System Requirements
  • No firewall restrictions on streaming media or active-x content.
  • Windows Media Player (version 6.4.07 or higher).
  • Firefox 2, Internet Explorer 7, Safari 1.3.
  • 128k Internet connection or faster.
  • You can receive audio through your computer (using IP Audio): You will need a sound card and speaker on your computer.

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