Improving Data Quality Through Data Modeling

Cover Image

Operational systems being built, configured and updated need guidance as to the type of screening they should deploy and that guidance comes largely from the data model. Data quality comes from consistent reference between tables and effective management of the bane of freeform data entry. It’s a value proposition where delays on entry for data quality work, returning data to sender or waiting for manual intervention can also mean a business hit.

Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.

CA ERwin from CA Technologies
Jul 22, 2010
Already a Bitpipe member? Log in here

Download this Webcast!