# How to connect Power BI to SAP ECC 6.0 > Source: https://netray.co/integrations/sap-ecc-power-bi > Publisher: Netray (netray.co), AI and integration engineering for ERP and manufacturing systems. > Section: Integrations ## Short answer The safest pattern is to land ECC data in a warehouse or BW and point Power BI at that, using the on-premises data gateway for refresh. Power BI Desktop also has an SAP ERP connector for application-server access, but heavy direct extraction from ECC can hurt performance and licensing. Natural-language Q&A can be added on top of the same model. ## System SAP ECC 6.0 ## Capability power-bi ## Intro ECC data model complexity is the main reason Power BI projects stall. Tables like VBAK/VBAP, EKKO/EKPO, AFKO/AFPO, MSEG/MKPF and BSEG have cryptic fields, many keys and plant-specific logic, and the interesting numbers, such as on-time delivery or WIP value, need joins and business rules that live in people's heads. There are also constraints that are easy to miss. Reading ECC's underlying database directly may conflict with SAP's licensing terms for the database runtime, and heavy queries during business hours can slow dialog users. Check your contract and talk to Basis before pointing a tool straight at the database. A good Power BI setup for ECC therefore has three layers: controlled extraction, a clean semantic model, and a small set of dashboards people actually use. Natural-language questions then become a layer on that model, not a separate data project. ## Use Cases ### On-time delivery and supplier performance **Description:** Compare PO confirmed dates, goods receipt dates (EKET, MKPF/MSEG, EKBE history) and quantities to score suppliers by plant and commodity. ### WIP and production variance **Description:** Production orders (AFKO, AFPO), confirmations and settled costs, showing schedule adherence and cost variance by work center and product family. ### Inventory health and aging **Description:** Stock by plant and storage location (MARD, MCHB for batches), turns, slow movers and obsolete risk, using movement history for last-used dates. ### Sales order backlog and OTIF **Description:** Open sales orders (VBAK, VBAP, VBEP schedule lines), deliveries (LIKP, LIPS) and goods issue for on-time-in-full tracking. ### Quality and scrap **Description:** Inspection lots (QALS), usage decisions and scrap postings linked to materials and vendors, for defect trend views. ### Plain-language questions on the model **Description:** Let users ask "which vendors were late more than twice last quarter?" against a documented dataset using Power BI Q&A or a Copilot-style feature, or a private natural-language layer. ## System Surface Power BI SAP ERP Application Server connector, which can call BAPIs and RFC function modules or read tables through a Z function; usable for smaller, targeted loads rather than bulk history. SAP BW or BW/4HANA (if you have it): InfoProviders and queries consumed through the SAP BW connectors, which is the lowest-risk route when BW already models your ECC data. SAP extractors and standard ECC extraction frameworks (delta queue via LBWQ and RSA7, ODP-based extraction on suitable releases, hedged to your support package) feeding a warehouse. Replication tools: SAP SLT (trigger-based replication), or third-party ETL/CDC tools that read via application layer or logs; verify licensing for any tool that reads the underlying database. ABAP queries and SAP Query (SQ01) or custom reports, run as background jobs (SM37) to produce files or ALV extracts as a low-tech option. On-premises data gateway installed inside your network to let the Power BI service refresh from sources that are not internet-reachable. ## How It Works ### Decide the landing zone **Detail:** Use BW if you have it. Otherwise load selected ECC tables into a warehouse or lakehouse (SQL Server, Azure Synapse, Fabric or Snowflake, for example) using an extractor you are licensed to use. ### Agree the extraction scope and schedule **Detail:** Define which tables, which delta logic and which windows, with Basis, so loads avoid MRP and month-end peaks. ### Build business-ready views **Detail:** Create views for orders, receipts, stock and production with readable names, resolved texts (MAKT, T001W) and unit conversions, so report authors do not touch raw SAP fields. ### Install and secure the gateway **Detail:** Run the on-premises data gateway on a server near the source, with a service account, a gateway cluster for availability and credentials stored centrally. ### Model in Power BI **Detail:** Use a star schema with a date table, plant and material dimensions, and measures for OTD, WIP value and turns. Test numbers against ECC reports with business owners. ### Apply row-level security **Detail:** Map users to plants or company codes, mirroring ECC authorization intent, so a plant manager sees only their site. ### Add Q&A on top **Detail:** Add synonyms and descriptions to the model so built-in Q&A works, or use a private natural-language layer if the data cannot go to cloud services. ## Example Flows ### Nightly supplier scorecard refresh **Trigger:** A scheduled extract completes at 03:00 after the previous day's goods receipts are posted. **Steps:** - The extractor loads new EKKO, EKPO, EKET and EKBE changes into the warehouse. - A view computes confirmed date versus actual receipt by line. - The gateway or warehouse connection refreshes the Power BI dataset at 05:00. - Buyers open the scorecard at the start of their day. **Result:** Late deliveries are visible before the morning supplier calls, without running ME80FN by hand. ### Plant manager asks a question **Trigger:** A manager types a question into Q&A about WIP by work center. **Steps:** - The question runs against the semantic model, filtered by their plant. - The model returns a chart from the WIP measure. - The manager pins it to a dashboard for the daily meeting. **Result:** Self-service answers without waiting for a BI developer. ## On Prem If data must stay inside the plant, avoid cloud refresh paths. Keep the warehouse on-prem (for example SQL Server), use Power BI Report Server rather than the cloud service if your policy requires it, and note that its features differ from the cloud service, so check what your version supports. The on-premises data gateway is only needed for the cloud service. For natural-language questions without cloud AI features, Netray can place a private model with a documented semantic layer next to the warehouse, using open-weight models served on your own GPUs, so users can ask questions in chat while Power BI remains the dashboard tool. ECC never needs to be reachable from outside. ## Security - Confirm licensing before using any tool that reads the ECC database directly; prefer application-layer extraction. - Use a dedicated extraction user with a minimal PFCG role and the correct plant restrictions. - Implement row-level security in the dataset and test it with impersonation. - Keep the gateway on a hardened server, patched, with a limited set of data sources and managed credentials. - Exclude or aggregate sensitive columns such as price conditions, personal data and controlled program data before publishing. ## Options ### Direct SAP ERP connector for small datasets **Fit:** Quick prototypes and small reference tables; not suited to large transactional history. **Effort:** Days to try; expect refresh and performance limits. ### BW or warehouse as the source **Fit:** The usual production design with controlled extraction and a clean model. **Effort:** Several weeks to a few months depending on scope and existing BW content. ### Netray natural-language layer on your model **Fit:** When users want to ask questions in plain language and data must stay private. **Effort:** Added on top of an existing semantic model in a few weeks. ## Pitfalls - Reporting from raw tables without business rules, so each dashboard shows a different on-time percentage. - Forgetting delta handling and reloading full tables nightly until it overruns the batch window. - Mixing currencies, units of measure and fiscal periods without conversion rules. - Skipping validation against ECC reports, which destroys trust the first time a number is off. - Treating the gateway as an afterthought, then discovering a single node is a failure point for all refreshes. ## Faq ### Does Power BI connect directly to SAP ECC? **Answer:** There is an SAP ERP Application Server connector that can call RFC functions or read data through ABAP, useful for smaller loads. For bulk history, most teams land data in BW or a warehouse first and connect Power BI there. ### Is reading the ECC database directly allowed? **Answer:** It depends on your SAP contract and database license. Many organizations hold restricted-use database licenses that limit direct access. Check with your SAP account team and prefer application-layer extraction. ### Do we need the on-premises data gateway? **Answer:** For the Power BI cloud service refreshing from sources inside your network, yes. If your warehouse is in the cloud or you use Report Server on-prem, the requirement changes. The gateway installs inside your network and makes outbound connections. ### What dashboards should we build first? **Answer:** Start with supplier on-time delivery, inventory health and sales backlog. They use well-understood tables, have clear owners and give immediate value. Add WIP and quality once the extraction pipeline is stable. ### Can users ask questions in natural language? **Answer:** Yes. Power BI has built-in Q&A and AI features that depend on a well-described model. If data cannot use cloud AI services, a private open-weight model over a documented semantic layer gives similar chat-style access inside your network. ## Search terms sap ecc power bi, power bi sap ecc connector, connect power bi to sap ecc, power bi sap erp application server, sap ecc power bi dashboard manufacturing, power bi sap bw ecc, power bi data gateway sap ecc, sap ecc reporting power bi, power bi sap ecc tables, sap ecc natural language power bi --- Talk to an engineer: https://netray.co/contact?intent=erp_ai | Machine catalog: https://netray.co/agent/catalog.json