On-demand Webinar

Who should attend
Business analysts, data analysts, data stewards, data and database administrators, and warehouse managers who want to ensure the quality and reliability of their organizations’ information.

Why you shouldn’t miss this Webinar
Invest a little time in this Webinar to hear about data quality’s impact on business performance. You’ll learn how to:

  • Address data quality as a process to drive continuous improvement.
  • Improve key data areas through data quality profiling.
  • Improve data collection processes through closed-loop monitoring.
  • Provide decision makers with trustworthy information.

With reliable, high-quality data at your fingertips you can derive more value from your data and significantly improve business performance.

The big picture 
Achieving true data quality is a key component of the platform for SAS® Business Analytics, which:

  • Provides an effective infrastructure for managing the growing appetite for intelligence.
  • Helps you derive more value from existing technology and information assets.
  • Supports sustainable growth of your organization through innovative use of technology and information.


Gaurav Verma
Business Analytics Marketing Manager

Gaurav Verma drives SAS’ global business analytics product marketing strategy and positioning. Verma’s key areas of focus are persona-based marketing, awareness and messaging for SAS' business analytics and information management solutions. He also serves as a spokesperson to press and analyst communities.

Verma, who has more than 10 years of experience in marketing, came to SAS from Cognos, where he served as the Financial Services Industry Marketing Director. Verma has also served as Director of Corporate Marketing for Information Builders and as Principal Analyst and Program Manager for Doculabs.

Anne H. Milley
Senior Director, Technology Product Marketing

As Senior Director of SAS Technology Product Marketing, Anne Milley oversees the marketing of SAS technologies. Her ties to SAS began with her thesis on bank failure prediction models and the term structure of interest rates, which she completed at The Federal Home Loan Bank of Dallas. She has also served as a senior business consultant at 7-Eleven Inc., where she performed sales analysis and designed and conducted tests to aid in strategic decision making.

Milley has authored various papers, articles and an award-winning report for the 1999 KDD Contest. She co-chaired the SAS data mining technology conferences M2001 and M2002, as well as SAS’ inaugural forecasting conference, F2006. She has served on Web mining committees for KDD and the Society for Industrial and Applied Mathematics, and on the Scientific Advisory Committee for Data Mining 2002. In 2008, she completed a five-month working sabbatical at a major financial services company in the United Kingdom.

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On-demand Webinar