Who should attend?
Business analysts, data professionals and warehouse managers – anyone who wants to learn how best to prepare data for analytic purposes.
Why you shouldn't miss this Webinar
Prompted by the success of The Data Warehousing Institute (TDWI) Checklist Report, Data Requirements for Advanced Analytics, this Webinar will highlight the specific approaches and unique data requirements needed to deal with analytics. Discover how to fully capitalize on the power of advanced analytics by adapting your data integration, data quality and data modeling approaches accordingly.
Learn how to:
- Distinguish between data warehouses, data marts and analytic databases, and determine which architecture best suits your organizational needs.
- Map the appropriate data prep method to the analytic method chosen. (Examples will be given.)
- Determine the appropriate time to cleanse and enhance your analytic data.
The big picture
Achieving accurate, tangible business benefits with easy-to-use features is a key component of the platform for SAS® Business Analytics, which:
- Extends the reach of business expertise in the organization.
- Improves business operation efficiencies and effectiveness.
- Proactively informs future direction.
- Helps you derive more value from existing information assets.
Philip Russom, Senior Manager of TDWI Research, The Data Warehousing Institute
Russom currently oversees many of TDWI's research-oriented publications, services and events. Prior to his tenure at TDWI, Russom worked in technical and marketing positions for various database vendors, including as an industry analyst at Forrester Research, Giga Information Group and Hurwitz Group, where he researched, wrote, spoke and consulted about BI issues.
Scott Chastain, Americas Technology Practice, SAS
Scott Chastain currently assists customers by designing solutions for a wide array of business challenges. Chastain has extensive experience in a variety of industries, including health care, manufacturing, telecommunications, government and finance. Chastain believes that enterprise data architecture is a foundational requirement for business analytics, and to that end, his primary focus areas revolve around data management, data governance and master data management.
Anne H. Milley, Senior Director, Technology Product Marketing, SAS
Anne Milley oversees the worldwide 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. Milley continued her use of SAS as a senior business consultant at 7-Eleven Inc., performing sales analyses and designing and conducting tests to aid in strategic decision making. While at SAS, she has been co-chair of SAS’ data mining technology conferences (M2001 and M2002), as well as F2006 (SAS’ inaugural forecasting conference).