Tech Talent Connect

SAP data and analytics

SAP data is most useful when it is combined with everything else you know. We build the models, pipelines and dashboards that turn SAP and non-SAP data into decisions, and we help BW customers plan their next step.

How the SAP data landscape changed

In February 2025 SAP launched Business Data Cloud, bringing Datasphere, SAP Analytics Cloud, SAP-managed data products and a private cloud edition of BW under one offer, with a Databricks partnership for data science and zero-copy sharing. The direction is clear: SAP data delivered as governed data products with their business meaning intact, rather than extracted table by table into a warehouse that has to rebuild that meaning.

That leaves many companies with years of BW logic and a question about what to do with it. The honest answer is usually a phased path: keep what works, federate rather than copy where possible, and move models when there is a reason to.

Data and analytics services

Business Data Cloud adoption
Assessment of which SAP data products and insight apps fit your use cases, how they relate to your existing warehouse, and what it costs.
Datasphere
Spaces, graphical and SQL views, analytic models, replication flows, data access controls and federation to non-SAP sources.
SAP Analytics Cloud
Stories and dashboards on live S/4HANA, BW and Datasphere connections, plus SAC Planning for budgets, forecasts and driver-based plans.
BW modernisation
BW 7.x to BW/4HANA conversion, BW bridge and private cloud edition options, and gradual movement of models into Datasphere.
Embedded analytics
CDS views, analytical queries and Fiori analytical apps for operational reporting directly in S/4HANA.
Lakehouse integration
Sharing SAP data with Databricks, Snowflake, Azure and AWS platforms for data science, with business semantics preserved.

Technologies we work with

SAP

  • SAP Business Data Cloud
  • SAP Datasphere
  • SAP Analytics Cloud
  • SAP BW/4HANA
  • SAP HANA Cloud
  • CDS views

Beyond SAP

  • Databricks
  • Snowflake
  • Microsoft Power BI
  • Azure Synapse and Fabric
  • AWS data services

Plan the next step with us

Share what you're working on. We'll tell you how we'd approach it and who would do the work.