Best Practices in Enterprise Data Governance

The inability to collaborate the business requirements with technology providers, the lack of controls for managing reference data and, ultimately, the difficulty in measuring the success of these programs often lead to a lack of ongoing support and commitment at an organizational level. View more>> Security Alert Best Practices in Enterprise Data Governance Learn More Data governance combines the disciplines of data quality, data management, data policy management, business process management, and risk management into a methodology that ensures important data assets are formally managed throughout an enterprise. SAS has developed a cohesive suite of technologies that can be used to implement efficient and effective data governance initiatives, thereby improving an enterprise's overall data management efficiency. This paper discusses data governance best practices. It explains where and how SAS capabilities (such as the Business Data Network, Reference Data Management, Data Federation, Data Quality, Data Management, and Master Data Management) can be used to ensure that data governance initiatives remain successful, continue to deliver overall return on investment, and gain buy-in across the enterprise. Learn More Share this email Additional Resources WAN Optimization and Acceleration: Technical Overview Learn more.

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