Data Architecture Strategies: Data Quality Best Practices

Tackling data quality problems requires more than a series of tactical, one off improvement projects. By their nature, many data quality problems extend across and often beyond an organization. Addressing these issues requires a holistic architectural approach combining people, process and technology. Join Donna Burbank and Nigel Turner as they provide practical ways to control data quality issues in your organization.

[@castdoubtproductions9645]

How are the supporting slides obtained? Thank you.

[@rickyrenner1872]

What do you do if you can't update the application to enforce data input rules? Some applications are a little more closed off, so it can be difficult to enforce business rules in the application.

[@rickyrenner1872]

Also, does data quality work pretty much the same if we're talking about application integration architecture and not data architecture?