Universal Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data and other information are managed in isolated silos by independent teams using various data management tools for data integration, quality, profiling, federation, meta- and master data management, and so on. However, there’s a trend toward universal data management (UDM), a practice that holistically coordinates teams and integrates tools, to assure cross-system data standards and architectures, cross-team design and development synergies, and high levels of data integrity, quality, and lineage.
But universal data management isn't purely a technical affair. Its ultimate goal is to achieve strategic, data-driven business objectives, like fully informed operational excellence and business intelligence, plus related goals in governance, compliance, business transformation, and business integration. In fact, the challenge of UDM is to balance its two important goals – uniting multiple data management practices and aligning these with business goals that depend on data for success.
What you will learn:
- Definitions and variations of Universal Data Management
- The business initiatives that need UDM
- The data management practices and tools that support it
- The organizational structures that enable the cross-functional collaboration that’s critical to UDM success
- Why you should care about UDM
Philip Russom, Ph.D.