Prerequisite: TDWI BI and Analytics Principles and Practices or equivalent knowledge of BI and analytics concepts and terminology
Preview Course Materials Course Outline
Getting requirements for data-driven efforts is especially challenging. Experience with traditional requirements gathering methods provides a foundation, but it takes more to be prepared for the unique challenges of data-driven projects—thinking creatively, getting beyond “just another report” solutions, engaging business stakeholders, resolving conflicts between business needs and data constraints, and much more. Old methods to elicit requirements don’t work well when requirements are vague, uncertain, and elusive, as is typical of data-driven initiatives. Shifting the approach from elicitation to discovery of requirements can make all the difference. Discovery, however, calls for new requirements processes, techniques, and participants. This course expands the requirements toolbox with techniques that step up to the challenges of data-driven requirements, describing proven ways to discover, analyze, and manage requirements for data-driven initiatives.
You Will Learn
- How to handle the unique challenges and characteristics of data-driven requirements
- How to categorize requirements to manage completeness
- Techniques to discover elusive requirements
- How to engage people and collect data-driven requirements
- How to choose among data and information products including reports, dashboards, scorecards, analytics models, etc.
- The purpose, processes, and techniques of requirements analysis
- The purpose, processes, and benefits of requirements management
- Data warehousing, BI, and analytics program and project managers
- Business analysts, data analysts, and systems analysts
- Business and technical stakeholders in data-driven programs and projects
- All participants in requirements gathering processes