Data migration is a major root cause of poor data quality. Numerous system implementations overrun schedule and budget or fail outright because quality of the converted data proves inadequate. The problem is especially acute in data consolidations during corporate mergers and acquisitions, as well as implementations of data warehouses and MDM hubs. In this webinar, industry guru Arkady Maydanchik explains why data migration so often turns into a data quality nightmare and describes a robust, data quality driven approach to data conversion and consolidation.
Most Read
Most Emailed
Information Management discussion: Business Intelligence
Twitter
Facebook
LinkedIn
