|
Presented by Michael Scofield Time:
Registration/Refreshments - 8:30-9:00 a.m.
Presentation
- 9:00-11:00 a.m.
Announcements
- 11:00-11:30 a.m.
Location: Standard Insurance Auditorium
Many software and ERP projects fail because of the quality of the data. Analysts didn't understand the architecture of the data, nor did they understand its meaning and quality. We will discuss techniques for employing the query tools and report writers you have for evaluating a data asset - be it your existing legacy production databases, or a new mass of data from some external source. We will show simple, intuitive techniques for digging deep into the data for discovering anomalies and inconsistencies. We will probe for changes in definition or structure (of the business) over time.
Many examples of problems which were impossible to spot through superficial analysis and even traditional means become quite visible through the use of Domain Studies. We will explore avanced metrics of data behavior and
quality. Then we will discuss briefly the automating of data profiling of
both latent production data, and recurring incoming data sources.
MICHAEL SCOFIELD is Asst. Professor, Health Information Sciences at Loma Linda University in southern California. He is a popular speaker and author with expertise in data architecture, data warehousing, and data quality.
Before his university appointment, he was Director of Data Quality for
Experian (formerly TRW Credit Data) in Orange, California. Prior to that, he was Vice President and Manager of Information Quality for Home Savings of America (Los Angeles). He is keenly interested in data quality assessment, and reverse engineering and mining of production databases.
He is a regular instructor for The Data Warehousing Institute, and has spoken at numerous DAMA Meetings and DAMA-International conferences both in the U.S. and overseas. His articles have appeared in The Database Newlsetter, Data Management Review, Information Week, and other journals. He also writes humor occasionally for various journals including the Los Angeles Times.
|
