# SAP Datasphere — First Data Product Checklist

A simple planning checklist to accompany the Brefat SAP Community article.

## Define the product
- [ ] Name the business use case, data owner and expected consumers.
- [ ] Identify source systems, fields, business keys and grain.
- [ ] Confirm privacy / authorization requirements.

## Prepare the data
- [ ] Verify connection, access, and data quality.
- [ ] Build or reuse the appropriate view(s) and validate results.
- [ ] Choose **federation vs replication** based on freshness, compute load and access needs.
- [ ] Check naming, descriptions and business semantics.

## Make it consumable
- [ ] Confirm the view is enabled/exposed for the required consumption scenario, where applicable.
- [ ] Configure the Data Product artifact using the options available in your tenant/release.
- [ ] Check permissions for publishers and consumers.
- [ ] Test discovery, access and consumption from a consumer perspective.

## Operate it
- [ ] Agree on expected data freshness and responsibilities.
- [ ] Monitor performance and review access periodically.
- [ ] Document dependencies and known limitations.

**Note:** Product capabilities, steps and UI labels may vary across SAP Datasphere releases and configurations. This checklist is a conceptual reference, not a substitute for tenant-specific official documentation.

Practical walkthrough on SAP Community:
https://community.sap.com/t5/data-and-analytics-blog-posts/building-your-first-data-product-in-sap-datasphere-step-by-step-practical/ba-p/14489319