Self-Learning Technology: The Fast Track to Master Data Quality

David Faibish
Chief Technology Officer
Zoomix

Tuesday 5:15pm - 6:15pm

Level: Intermediate

Learn how a new class of data quality solutions, based on self-learning technology, is enabling the enterprise to quickly, easily and non-intrusively achieve high-quality master data across the organization. In addition to shorter time frames and more accurate results, these solutions naturally enable tight business process integration, thus bringing the benefits of corporate information quality efforts to all business processes. Whether as part of a master data management (MDM) initiative or a point data quality solution, self-learning technology is changing the way data quality issues are being addressed.
Topics also covered:

• Enterprise data quality: an increasingly dangerous problem
• The challenges in achieving enterprise data quality
• The limitations of conventional data quality solutions
• How self-learning technology is applied to corporate data quality
• Accelerating master data management (MDM) using self-learning technology

David Faibish has over 25 years of experience in software development and product management, mostly in database, data warehouse and business intelligence (BI) applications. David is an 11-year veteran of the BI space, leading BI projects at enterprise software companies like Convergys and Siebel, and presenting at professional conferences on the subject. David headed product management and new technology strategy in the BI space at Hyperroll, and is presently fulfilling similar functions as Chief Technology Officer of Zoomix. David is a graduate of the IDF Computer Science Academy in Israel and headed the Computer Information Department in the IDF Civil Defense Unit.