Self-Learning Technology: The Fast Track to Master Data Quality
David Faibish
Chief Technology Officer
Zoomix
March 7, 2007
7:30 AM - 8:00 AM
Level: Business
Poor data quality in the enterprise results in lost
business, reduced productivity, unnecessary expenses, failed IT initiatives,
inability to comply with government regulations and even outright operational
failure. Conventional data quality tools rely on the manual creation
and maintenance of expansive sets of rigid "rules" and "dictionaries,"
which render them expensive, time-consuming, difficult and disruptive
to implement. This expense and difficulty leaves many organizations
without a practical solution to this critical business issue.
Learn how a new class of data quality solutions, based on self-learning technology, is enabling every corporation 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. In practical terms, numerous routine operational and analytical functions will benefit substantially through on-demand data management facilities over SOA.
Learn how a new class of data quality solutions, based on self-learning technology, is enabling every corporation 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. In practical terms, numerous routine operational and analytical functions will benefit substantially through on-demand data management facilities over SOA.
- 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
- Improving operational and analytical functions with real-time data quality facilities using SOA
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, a leading player in the OLAP and performance market, 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.