GFAI2: Linking Business Objectives to (Meta)Data and AI Initiatives

This course focuses on connecting business objectives to data, metadata, and AI initiatives using a structured, value-driven methodology. Led by data management master instructor Irina Steenbeek, it provides practical tools to prioritize initiatives, engage stakeholders, and assess business impact and return on investment.

Successful data and AI initiatives begin with clear business intent. This course, instructed by data management expert Irina Steenbeek, introduces a practical methodology for translating business drivers into prioritized data, metadata, and AI initiatives that deliver measurable value. Through real-world regulatory context and structured analysis, the course brings clarity to how organizations align strategy, capabilities, and technology investments. 

The course covers identifying and prioritizing business drivers, defining initiatives that support business goals, and analyzing stakeholders and sponsors across organizational capabilities. Participants explore approaches to articulating value propositions, building communication strategies, and evaluating data monetization options using high-level business metrics and ROI estimation. A consistent use case and hands-on templates reinforce how strategic alignment enables sustainable and impactful data and AI programs. 

Course Highlights 

  • A structured approach to aligning business goals with data, metadata, and AI initiatives. 
  • Practical methods for prioritizing business drivers and use cases. 
  • Stakeholder and sponsor analysis with value-based communication planning. 
  • High-level approaches to data monetization and ROI estimation. 

Pricing and Credits 

  • Individual Course Price: $99 
  • Learning Plan Price: $749 
  • Course CEUs: 2.5 hours 

By the End of This Course, You’ll Be Able To: 

  • Identify and prioritize business drivers that shape data and AI initiatives. 
  • Align data, metadata, and AI initiatives with organizational goals and capabilities. 
  • Map stakeholders and sponsors and articulate tailored value propositions. 
  • Draft a stakeholder communication strategy aligned with business value. 
  • Assess data monetization strategies and estimate ROI at a high level. 

Why Take This Course? 

This course bridges the gap between business strategy and data and AI execution. It equips learners with practical methods to ensure initiatives are prioritized, engage stakeholders effectively, and assess impact through clear, outcome-driven metrics. 

Is This Course Right for You or Your Team? 

This course is ideal for: 

  • Business and data leaders responsible for shaping or sponsoring data and AI initiatives. 
  • Professionals involved in translating strategy into data- and AI-enabled outcomes. 
  • Practitioners seeking structured approaches to stakeholder engagement and value definition. 
  • Individuals working at the intersection of business, data, governance, and AI. 

No technical experience is required. This course is designed for business-focused professionals seeking practical methods to align data, metadata, and AI initiatives with strategic goals, stakeholder needs, and measurable business value. 

This Course Includes: 

  • A 94-minute educational training video 
  • An 21-question content-based practice exam 
  • “Check for Understanding” quizzes after each section 
  • Downloadable presentation slides , templates, and exercises
  • Self-paced, on-demand access with progress tracking 
  • Unlimited course access 
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