Connect new and existing data products, define the required work to achieve the desired solution, and make sure that delivery is always tied to real business value.
Align the problem, solution, and expected value early on so teams stay focused and avoid costly misalignment.
Translate strategic goals into actionable deliverables. Create clarity across teams and speed up execution.
Identify existing data products you can reuse to reduce delivery time and effort, powered by the Reusability Score and transparent scoping.
Specify how your use case will be delivered by outlining the required data and AI products. Ensure feasibility, stakeholder alignment, and compliance before moving to execution, so business value isn’t just promised, but delivered.
Keep a clear list of all required builds and changes for your use cases. Link use cases directly to JIRA or similar tools to improve visibility, streamline collaboration, and ensure seamless alignment with engineering teams.
Give data product owners a clear overview of all connected business use cases and full visibility into upcoming demands. Prioritize improvements, plan product updates, and manage versions based on actual business demand, turning data products into strategic assets.