IDQ Conference 2006

Managing Messy Data-Begin with Discovery, End with Enlightenment

Karen MengKaren Meng
Data Quality Manager
Wells Fargo Bank
IAIDQ Charter Member


Thursday 9:45am - 10:45am
Conference Session
Level: Introductory

A practical “how to” guide for implementing a proactive Data Quality Program. The tutorial includes steps to confront common challenges; real life examples of applying proactive data quality management policies within a system’s development group; and managing data quality, once the system is moved to production. Topics include:

* Defining successful data management
* Data quality evaluation methodology
* Guideline to move from theory to practice
* How to manage scope, or “the biggest bang for the buck”
Speaker Bio
I have created and managed successful Data Quality Programs at Wells Fargo for over 5 years. Prior to my experiences as a Data Quality Manger within the Banking Industry, I managed medical research database systems for 14 years. I was responsible for implementing data quality “best practices” on a national HIV/AIDS registry, a glaucoma database, a prostate cancer database and radiology databases. I have a Ph.D. in Psychology—and often times feel as though my experiences as a psychologist are more applicable for implementing Data Quality programs, than my background in data management.
Return to Agenda At-A-Glance