Designing and Optimizing the Use Case Portfolio: Data Management and AI Use Cases

Categories: DM Fundamentals
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About Course

Organizations rarely struggle to generate Data Management and AI ideas. The real challenge is deciding which initiatives should move first — and why.

When proposals arrive as platforms, models, data quality improvements, or AI solutions, they are difficult to compare unless they connect to the business use cases they enable.

In this course, you will learn to start with priority business use cases and derive the Data Management and AI use cases needed to support them. You will then consider dependencies, opportunities for reuse, feasibility, and sequencing to create a coordinated portfolio.

By the end of the course, you will be able to design and optimize a Data Management and AI use case portfolio that connects business priorities with actionable initiatives.

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What Will You Learn?

  • Derive Data Management use cases from business priorities.
  • Define relevant AI use cases.
  • Identify dependencies, reuse, and enterprise scope.
  • Build and optimize an integrated use case portfolio.
  • Prioritize and sequence initiatives for implementation.

Course Content

Data management use case portfolio
A Data Management use case should start with a business need, not with a familiar solution or technology. In this topic, you will see how business drivers connect to multiple Data Management use cases and how those use cases depend on different Data Management capabilities. This creates the foundation for comparing initiatives, identifying shared dependencies, and building a coordinated portfolio. DMF 07 DM_AI_Use Cases T1 L1.1 …

  • Defining Data Management Use Cases
    15:24
  • Conceptual Understanding
  • Analytical Thinking

AI Use Case Portfolio
This topic focuses on identifying AI use cases from business and Data Management capability needs. You will explore where AI can improve business activities and Data Management work, while keeping the starting point on the capability need rather than the technology itself.

Integrated Use Case Portfolio
This topic brings business, Data Management, and AI use cases into one integrated portfolio. You will define the enterprise scope, connect related use cases and shared foundations, and then optimize the portfolio by considering value, dependencies, reuse, readiness, and implementation sequencing.

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