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Organizations prioritize strategies to ensure delivery of high quality, trusted enterprise data to the business, but struggle with the business case and engagement with business stakeholders to support and participate in traditionally IT-driven efforts. Increasing business demand for trusted data is forcing both business and IT leaders to recognize dependencies and conflicting perceptions on data’s value that have never before been understood.
Ironically, the ultimate objective of data governance should not be to ensure high quality data. Instead, to maximize your return on data, your data governance efforts must enable what business leaders care most about: growing revenue, reducing costs and inefficiencies, mitigating risk and providing great customer experiences as a competitive differentiator. How can data governance do this? By identifying the most critical business processes, decisions and interactions for your business and investing in the policies, processes, roles, responsibilities and architectures that can ensure only the most trustworthy data is used.
In this presentation, attendees will learn how to:
- Frame data governance discussions with business leaders and influencers
- Leverage a data governance framework to guide their program efforts
- Assess their current and future states of data governance maturity
- Design and operationalize the core business processes that make up a data governance function
- Scope the myriad business opportunities to prioritize the ones that will deliver the most business value