SAP Datasphere
by SAP
SAP Datasphere is where many SAP customers model their business data, combining S/4HANA and other sources into relational views and analytic models with business semantics. Its OData consumption APIs expose those models and the catalog, so the figures finance already trusts can flow into the Lake and meet CRM, web and operational data outside SAP.
- Category
- Cloud & Data Platforms
- Type
- Data warehouse & lakehouse
- Interface
- OData API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0
02Data
What you can sync.
- Analytic models
- Relational views
- Catalog assets
- Spaces
Put SAP Datasphere analytic models next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other SAP Datasphere data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
SAP Datasphere uses OAuth 2.0 (client ID, client secret, refresh token). You add the credentials once, when the AI asks for them, and it tells you where to create them in SAP if you need help.
04Questions
Questions you can answer.
Once SAP Datasphere data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- How does gross margin by product line from the Datasphere analytic model compare with pipeline forecast in the CRM?
- Which customers show rising order value in SAP but falling engagement in marketing data?
- Which spaces and analytic models in the catalog lack an owner or description?
- Did last month's revenue in the analytic model change after it was first reported?
05How it works
How it works in DataMind.
-
Pick SAP Datasphere.
Open Lake, pick SAP Datasphere in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the SAP Datasphere API docs.
-
Answer a few questions.
The AI reads the SAP Datasphere documentation, then asks which credentials you will use, which data to sync (for example analytic models and relational views), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then SAP Datasphere data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with SAP Datasphere.
Sources teams join with SAP Datasphere in the Warehouse, each one connected the same way.
07Related
