Who should attend
Business analysts; IT professionals; data integration, ETL or ELT specialists; all data professionals, including data analysts, data stewards, data and database administrators; and warehouse managers currently involved in data integration processes.
Why you shouldn't miss this webinar
SAS® Data Integration improves the flow of accurate, enterprisewide information, enhancing data quality and enabling collaboration across your organization. Based on information presented in the recent TDWI Checklist Report Top 10 Best Practices of Data Integration, this webinar will describe how to achieve better performance management, develop sustainability efforts, and optimize and ease the pressure on IT departments.
Learn how to:
- Discover a fresh perspective and learn new, innovative ways to implement data integration practices.
- Hear industry-specific approaches with reusable, cross-industry appeal.
- Leverage existing technology and skill sets for effective, efficient data management problem-solving.
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 Research, The Data Warehousing Institute (TDWI)
Philip Russom oversees many of TDWI's research-oriented publications, services and events. He's been an industry analyst at Forrester Research, Giga Information Group and Hurwitz Group, where he researched, wrote, spoke and consulted about BI issues. Before that, Russom worked in technical and marketing positions for various database vendors.
Scott Chastain, SAS Americas Technology Practice
An engineer by education, Scott Chastain currently assists customers by designing solutions for a wide array of business challenges. Chastain has extensive experience in several 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.