March 4, 2007

3:30 PM - 6:45 PM

Level: Introductory/All Levels

Once you have recognized that poor data quality impacts your business, how do you address the elimination of the sources of data flaws? Data quality tools and technologies are employed in different ways to help discover data issues, isolate the source of their introduction, correct the data (if necessary), and adjust the processes to prevent unexpected data from entering the environment in the first place. This seminar explores different data error paradigms and approaches for addressing those errors using data quality tools. We’ll also look at the different tool types, how they are intended to work, and developing best practices for standardizing the way the tools are used across the enterprise. Lastly, we’ll discuss how to assess business needs to determine which tools are most appropriate to be integrated into your organization.

Attendees will learn about how the following approaches work and how they integrate with an enterprise data quality program:

• Data parsing and standardization
• Record Linkage/Matching
• Data scrubbing/cleansing
• Data enhancement
• Data profiling
• Data auditing/monitoring
  

David Loshin is the president of Knowledge Integrity, Inc, (www.knowledge-integrity.com), a consulting company focusing on customized information management solutions including information quality consulting, information quality training, business intelligence, metadata management, and data standards management. David is an internationally recognized expert in Information Quality, contributing to Intelligent Enterprise, writing a monthly column for DM Review between October 2002 and December 2005, is a quarterly featured columnist for the Data Administration Newsletter (www.tdan.com), and is the channel expert of the B-EYE-Network’s Information Quality and Data Integration channel. David’s book, “Business Intelligence: The Savvy Manager’s Guide” (June 2003) has been hailed as a resource allowing readers to “gain an understanding of business intelligence, business management disciplines, data warehousing, and how all of the pieces work together.” David also wrote “Enterprise Knowledge Management – The Data Quality Approach,” which describes a revolutionary strategy for defining, managing, and implementing business rules affecting Enterprise-wide information quality management.