Webinar:SAP Data made AI-readywith Data Products & Marketplace
Faces Behind Features | Session 5 of 5
03.11.2026, 4 p.m. CET | 10 a.m. EST
An SAP BW migration doesn’t end when the data arrives on a new platform. Done right, it becomes the starting point for a lasting, AI-ready data foundation where data is owned, governed, reusable and continuously delivers value. So, what happens after the migration is complete?
Join Amirhossein Shaafieyoun, Product Manager at One Data, for a live walkthrough of how the Data Product Space helps you turn migrated SAP and non-SAP data into managed, reusable data products. See how to create new data products, establish data contracts, use AI agents for recommendations and development support, set up quality checks, automate production-ready code for deployment into external systems, and manage the full lifecycle and health of your data products. You’ll also see how these products become discoverable and reusable in the Marketplace.
This session closes the Faces Behind Features series. In the previous four sessions, we covered Metadata Intelligence, Data Transparency, Migration Scoping, and Target Architecture. Now we look at what comes after: building and managing the data products that make your migration investment pay off long term.
About This Series: Faces Behind Features
This webinar is the fifth and final session in a five-part series where the people behind One Data show you how our platform works: feature by feature, hands-on, and without the marketing gloss. Each session focuses on one core capability and connects it to a practical challenge in SAP BW transformation.
What You'll Take Away:
A live, practical look at how the Data Product Space helps you develop, govern, deploy, and manage data products throughout their lifecycle. You’ll see how data contracts, quality checks, automated deployment, and lifecycle management help keep trusted data findable, reusable, and governed across your organization.
Live demo: From migrated data to managed, reusable data products
Watch Amirhossein Shaafieyoun walk through the end-to-end workflow: building a governed, quality-checked, and ready for reuse data product from migrated SAP data, setting up a data contract, letting AI agents assist with development, and deploying it into the Marketplace.
Why data products matter after migration
A migration that stops at deployment leaves your data unowned, undocumented, and at risk of drifting back into legacy complexity. The Data Product Space ensures that what you migrated becomes a living asset: clearly defined, contracted, quality-checked, and actively managed through its entire lifecycle. That's the difference between a one-time move and a lasting, AI-ready data foundation, where every data product is trusted, governed, and ready to serve analytics and AI across your organization.
Register now
If you want to see how migrated SAP data becomes a managed, AI-ready data foundation, join the live session.
Date: 03.11.2026
Time: 4 p.m. CET | 10 a.m. EST
Duration: 15 minutes
Format: Free webinar
Speaker: Amirhossein Shaafieyoun
Who Should Attend:
Whether you are starting your migration, wrapping it up, recently completed it, or already managing data on a new platform and looking for a better way to govern it, this session shows you what comes next.
Data & Analytics Leaders,CDOs, Heads of BI, Data Architects
See how data products bring structure, ownership, and trust to your target landscape. Define, contract, and monitor data asset, then make them discoverable through the Marketplace so teams can build on what already exists.
IT Transformation Leaders,CIOs, Program Managers, SAP Leads
See how automated quality checks, production-ready code generation, and lifecycle management can turn migration outputs into governed, self-sustaining data products that protect your investment and reduce ongoing maintenance effort.
Data Engineers, BI DevelopersSAP BW Specialists
Explore how to develop data products with AI agent support, set up data contracts and quality gates, automate deployment code for target systems, and track the health and usage of data products over time.
Your expert:
Amirhossein ShaafieyounProduct Manager
As Product Manager at One Data, Amir focuses on helping organizations turn their data into governed, reusable data products that solve business problems and deliver lasting value. He is particularly interested in how data product management, lifecycle governance, and data quality, supported by agentic AI and automation, enable businesses to move beyond one-time migrations and build AI-ready foundations for scalable value from their data assets.