teched2025-DA267
An SAP TechEd 2025 workshop on seamless planning for xP&A in SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp, across SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp and SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp.
The session works through SAP's seamless planning integration of SAP Analytics CloudSAP Analytics CloudSAP's SaaS front end for analytics: business intelligence, planning and predictive in one product, and the place a Datasphere analytic model is meant to end up being read.sap official, btp and SAP DatasphereSAP DatasphereSAP's cloud data warehouse: spaces, modelled views and analytic models over data brought in or federated from source systems, with the business context carried along rather than rebuilt.sap official, btp in the context of SAP Business Data CloudSAP Business Data CloudSAP's umbrella over the data estate: installed intelligent content and data products, a governed catalog they are published through, and a path out to SAP Databricks.sap official, btp: a planning model built on a live connection to a view shared from the Working Capital Insights app, master data loaded from SAP Datasphere, the planning model's data exposed back into it, and a plan versus actual report built there on an analytic model and time-dependent master data. It then extends the planning model with generic financial profit-and-loss dimensions and measures and integrates a shared HR planning model to derive personnel expenses, and a story in SAP Analytics Cloud is where the planning and reporting happen. The README lists what it abstracts away: one planning model, a small set of dimensions, simplified master data without text tables or directories, no multi-currency, and simplified central planning assumptions.
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In the atlas: maintains 222@SAP-samplesmaintainerAjay SorengContributes to this
In the atlas: contributes to 36@ajaysorengMaximilianGanderContributes to this
In the atlas: contributes to 1@MaximilianGander2 contributors
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- Sample
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- By SAP
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- A reference
As a sample
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- Workshop or CodeJam material
Connections
Measures, dimensions and hierarchies an analytical client reads
SaaS for business intelligence, planning and predictive analytics
Cloud data warehouse with spaces, views and analytic models
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README
quoted from SAP-samples/teched2025-DA267 under Apache-2.0, readDA267 - Seamless planning for xP&A in SAP Business Data Cloud (SAP BDC)
Description
This repository contains the material for the SAP TechEd 2025 session called DA267 - Seamless planning for xP&A in SAP Business Data Cloud (SAP BDC).
Overview
This session introduces attendees to the seamless planning integration of SAP Analytics Cloud and SAP Datasphere in the context of SAP Business Data Cloud. Find the introduction slides shown on-site here: PPT
In this session, we will:
- Leverage a view shared from the content of the Working Capital Insights app to create a planning model with a live connection to the view's data
- Load master data from SAP Datasphere
- Expose the planning model data in SAP Datasphere and build a plan vs. actual reporting using an analytic model and time-dependent master data
- Extend the planning model with generic financial p&l planning dimensions and measures
- Integrate data from an HR planning model (shared with you) to derive personnel expenses
Along the way, we will create a story in SAP Analytics Cloud to plan and report.
We will abstract away from some of the complexity that such a use case would normally bring, e.g.
- We will work in one planning model
- We will work with a small set of dimensions
- We will work with a simplified master data table w/o text tables, directories etc.
- We will ignore multi-currency
- We will use simplified, central planning assumptions

Requirements
The requirements to follow the exercises in this repository are:
- Knowledge of planning in SAP Analytics Cloud
- Basic understanding of the concepts of SAP Datasphere
Exercises
Get started here
Learn more
- Seamless Planning release announcement
- Seamless Planning Product FAQ
- Seamless Planning live versions
- SAP help on seamless planning
- Learning journey on SAP BDC
- SAP help on SAP Datasphere data builder
- Introducing the Analytic Model in SAP Datasphere
- SAP help on the analytic model in SAP Datasphere
Contributing
Please read the CONTRIBUTING.md to understand the contribution guidelines.
Code of Conduct
Please read the SAP Open Source Code of Conduct.
How to obtain support
Support for the content in this repository is available during the actual time of the online session for which this content has been designed. Otherwise, you may request support via the Issues tab.
License
Copyright (c) 2025 SAP SE or an SAP affiliate company. All rights reserved. This project is licensed under the Apache Software License, version 2.0 except as noted otherwise in the LICENSE file.
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