Operational Data Quality - Data Governance

Poor data in your business applications often originates from data quality problems in upstream operational systems. That's why it's critical to establish a Data Governance initiative to set standards, improve quality, and monitor how data supports business processes moving forward. Learn how Digital River successfully implemented Data Governance across their organization by:

• Treating data management as a function that transcends both business and IT functions.
• Re-organizing resources and teams internally to optimize how operational data quality processes interact with the whole business.
• Developing relevant business rules and deploying these rules across operational systems for improved business results.