POWER BI CONNECTOR FOR SAP
SAP data in Power BI, without custom integration
A ready-to-deploy, no-code connector for SAP S/4HANA, installed in SAP BTP and built for enterprise-scale data volumes and complex SAP data models, without custom integration projects, separate data pipelines, or ongoing connector maintenance.
In production
at enterprises like
/ 01 · NO CUSTOM BUILD
A supported product, not another project
Replaces bespoke scripts, custom endpoints, and separately operated integration services with a connector built for SAP-to-Power BI reporting. Updates, compatibility, and support sit with Metrica — not on your team’s backlog through every SAP release.
/ 02 · MANAGED START
Deployed with you, run by you
Metrica works alongside your SAP administrators through the initial deployment and stays available beyond it. Once the environment is ready, the BI team operates independently — no extraction code, no standing dependency on the vendor.
/ 03 · DATA CONTROL
Your SAP data stays in your environment
The connector runs in an SAP environment that you own and administer. Your SAP data isn’t stored or processed in systems outside your control, and your administrators manage all connectivity and access.
/ 04 · READ-ONLY ACCESS
SAP remains the source of truth
The connector only reads from SAP — it never writes back, and it never keeps a copy of your records along the way. When Power BI refreshes, the data comes straight from the system of record.
/ 05 · DATA SCOPE
Power BI sees only what you select
Each data source carries only the SAP data selected for its purpose — down to individual fields and rows. Everything outside that scope never leaves SAP, keeping analytical access aligned with what each report is entitled to see.
/ 06 · REUSE
One data source, many reports
One approved data source can serve any number of reports. The next dashboard connects to an existing endpoint where scope, access, and credentials are already settled — nothing gets rebuilt.
/01
Multiple SAP services in one data source
Bring the SAP services a report needs into one data source, and Power BI sees them as separate tables through a single connection — ready to be related in the model. No juggling a separate connection for every service.
/02
Entity and field-level selection
Choose the exact SAP entities and fields a report requires — nothing more travels to Power BI. The selection is visual, so analysts can build a data source without knowing the SAP data model by heart.
/03
Row-level filtering at the source
Decide which records each Power BI report receives before anything leaves SAP. Filters can be built visually or written as expressions, and they run on the SAP side — excluded rows are never transferred.
/04
Data and relationship preview
See your actual SAP data and how the selected entities relate to each other before the data source is saved. Fewer surprises when the model is built in Power BI.
/05
Token-based Power BI connections
Every Power BI connection is authenticated with a personal access token, created and managed in the connector. Tokens are owned by an individual user, so every export is traceable to a specific person. Access is individual and revocable at any time.
/06
Scheduled refresh in the Power BI service
Reports refresh on the schedule you set in the Power BI service — current SAP data with no manual reloads and no extra scheduling infrastructure.
/07
Incremental refresh for large datasets
Large SAP datasets stay current by processing recent records instead of re-importing everything on every run. It’s standard Power BI incremental refresh — no custom workaround required.
/07
Incremental refresh for large datasets
Large SAP datasets stay current by processing recent records instead of re-importing everything on every run. It’s standard Power BI incremental refresh — no custom workaround required.
/ AUDIENCE 01
SAP Centers of Excellence
Enterprise SAP teams responsible for cross-system reporting, KPI consistency, and governance across ECC, S/4HANA, and BW landscapes — where reporting has to stay defensible.
/ AUDIENCE 02
Finance & Controlling (FI/CO)
Teams producing statutory, management, and operational reports from SAP — where accuracy, auditability, and refresh reliability are not optional and errors surface at board level.
/ AUDIENCE 03
SAP BI, Data Platform & Engineering
Central SAP data and platform teams building governed access layers, semantic models, and scalable analytics foundations on top of ECC, S/4HANA, and BW.
/ AUDIENCE 04
Complex SAP Landscapes
Multi-system environments spanning ECC, S/4HANA, BW, custom extensions, schema change, and strict authorization requirements that rule out lightweight DIY approaches.
/ CASE 01
Enterprise finance organization standardizing SAP reporting.
Context. A large enterprise using SAP as the primary system for financial and operational data, with Power BI adopted for executive reporting across finance, controlling, and business lines.
Challenge. Extract-based pipelines were slow, expensive to maintain, and sensitive to SAP structure changes — every release cycle introduced breakage somewhere in the reporting chain.
Outcome with MetricaSAP data became consistently available in Power BI with predictable refresh behavior, allowing reporting to operate as a stable production capability rather than a recurring fire drill.
/ CASE 02
Manufacturing company with large SAP datasets.
Context. A global manufacturing company running SAP with high data volumes and complex reporting requirements across plants, regions, and product lines — all feeding a shared Power BI environment.
Challenge. Full data reloads caused long refresh times and unreliable dashboards. Operational users lost trust in reports that were intermittently out of date or failed silently overnight.
Outcome with MetricaIncremental access enabled scalable Power BI reporting without ongoing pipeline rework. Refresh windows collapsed, dashboards became dependable, and operational confidence in the numbers returned.
/ CASE 03
Technology company consolidating SAP analytics.
Context. Multiple internal teams maintained their own SAP data integrations feeding Power BI — each built independently, each with its own assumptions and refresh logic.
Challenge. Duplicated engineering effort, inconsistent data models across teams, and growing maintenance cost as SAP usage expanded — with reconciliation becoming a recurring meeting topic.
Outcome with MetricaThe connector became the standardized access layer for SAP analytics in Power BI. Operational overhead dropped, reporting consistency improved, and future SAP changes could be absorbed centrally.
“
We stopped rebuilding SAP extracts after every release. The connector absorbs SAP change at the access layer, and our Power BI models no longer drift. SAP reporting went from a standing risk to a non-event.
S
Director, SAP Analytics & Reporting
Global manufacturing group · 500+ Power BI users
/ R01 · TECHNICAL
Documentation
Setup, configuration, authentication, refresh scheduling, and a full reference of supported SAP systems — S/4HANA, BW, SuccessFactors, Ariba.
/ R02 · SUPPORT
Enterprise support
Direct access to engineers who build the connector — for operational questions, environment-specific issues, and production escalations.
/ R03 · EDITORIAL
Journal & insights
Long-form articles on SAP analytics, Power BI data modeling, and operating enterprise BI on SAP — updated weekly by the Metrica team.
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