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