--- title: "Data Governance for Manufacturing | Dawiso" description: "Data catalog, lineage and governance for manufacturers. Connect ERP, production systems, Snowflake and Power BI in one platform. GDPR, AI Act, IATF 16949." url: "https://www.dawiso.com/industry/manufacturing" language: "en" --- Manufacturing # Governed, traceable data for every plant. One platform for catalog, glossary, lineage and data products. Tell us what is on your desk and we will show you the part that matters. [Book a demo](https://www.dawiso.com/book-a-dawiso-demo) [Take the demo tour](https://demo.dawiso.com/dashboard/demo_welcome) What is on your desk this quarter? What the program needs ## A map before you move anything Moving from SAP ECC to S/4HANA, or the warehouse to Snowflake, Databricks or Fabric, starts with knowing what depends on what. What breaks today - Unknown downstream plant reports - Unused tables migrated anyway - Lineage lost in the move With Dawiso - Catalog and lineage across SAP HANA, SAP BW and cloud platforms in one graph - Impact analysis through lineage before you cut over [250,000+ objects in 250+ Snowflake databases at Stora Enso](https://www.dawiso.com/case-study/stora-enso) [See it on your data](https://www.dawiso.com/book-a-dawiso-demo) In production at European manufacturers and logistics operators [Read the Stora Enso case study](https://www.dawiso.com/case-study/stora-enso) [Read the Olvi case study](https://www.dawiso.com/case-study/olvi) [Read the P3 Logistic Parks case study](https://www.dawiso.com/case-study/p3-parks) How it works ## From the ERP table to the plant report, in one place. Metadata scan · 4 sources - SAP HANA · ERP*scanned* - SQL Server · production data*scanned* - Power BI · plant KPI reports*scanning* - Snowflake · plant mart*queued* Tables, columns, reports and SQL are picked up automatically, with no manual cataloging. Regulation coverage ## What each standard asks for, and how you show it. | Regulation | What it asks | Your evidence in Dawiso | | --- | --- | --- | | GDPR | Know where employee, customer and supplier data lives | Personal data classified in the catalog and followed through lineage | | EU AI Act | Documented data and controls for AI in quality and maintenance | Owners, definitions and lineage for the data that feeds each model | | IATF 16949 | Traceability and documented data processes in automotive quality | Column-level [lineage](https://www.dawiso.com/product/interactive-data-lineage) from source to report, named owners per asset | | ISO 9001 | Documented processes and controlled changes | Change history and approval workflows, one [glossary](https://www.dawiso.com/product/business-glossary) for quality terms | Customer story ## One catalog for a global materials company. Stora Enso · renewable materials ### How Stora Enso cataloged its data from Snowflake to Power BI Metadata harvested from 6 types of source systems through 50+ active ingestion pipelines, one business dictionary, and a data community that writes its own content. **8,700+** Power BI reports **1,000+** business terms **500+** users creating content > “A good solution does not stop with the software but includes people too. The Dawiso team has been and remains on hand, assisting with the adoption of the data catalog solution and with improving our data governance maturity.” > > Stora Enso [Read the Stora Enso story](https://www.dawiso.com/case-study/stora-enso) [78 daysfrom the start of implementation to a fully operational solution](https://www.dawiso.com/case-study/p3-parks) [39,000+objects documented across 9 thematic spaces](https://www.dawiso.com/case-study/olvi) Go-live ## Fully operational in weeks, 78 days at P3 Parks. 1. Phase 1Connect and scanScanners read the ERP database, the warehouse and BI. 2. Phase 2Lineage and glossaryColumn-level lineage from your SQL, plant KPIs defined. 3. Phase 3Owners and workflowsStewards assigned, approvals on, audit trail recording. 4. Phase 4First traced KPI reportOne plant report traced end to end. ## Questions manufacturers ask us **Does Dawiso integrate with ERP and production systems?** Dawiso connects to 40+ data sources including SAP S/4HANA, Snowflake, Databricks, Power BI, Oracle, SQL Server, Tableau, and dbt. For production and planning systems with no native connector, our REST API and [MCP server](https://www.dawiso.com/product/mcp) enable custom integrations. See the full connector list on our [Connectors page](https://www.dawiso.com/connectors). **How long does implementation take for a manufacturing company?** Most manufacturing customers go live with a working catalog in weeks, depending on the number of data sources. P3 Logistic Parks went from zero to a comprehensive data governance platform in 78 days. Automated metadata scanning eliminates most manual work, and the SQL Parser generates lineage from existing code without custom development. **Can Dawiso handle multi-plant, multi-country deployments?** Yes. Dawiso is deployed at enterprise manufacturers with operations across multiple countries and hundreds of users. The platform supports multilingual interfaces, role-based access control per plant or domain, and scales to hundreds of thousands of scanned objects without performance degradation. **How does Dawiso support IATF 16949 and ISO 9001 compliance?** Dawiso maintains a complete audit trail of all changes to data assets - who changed what and when. Approval workflows enforce governance processes before changes take effect. Data lineage documents the traceability chain from source to report. These records are available on demand for quality audits and certification reviews. **Can Dawiso govern AI models used in manufacturing?** Yes. Dawiso catalogs AI and ML models alongside data assets - documenting model inputs, outputs, versions, training data, and owners. This supports EU AI Act compliance for high-risk AI systems used in quality control, predictive maintenance, and demand forecasting. Model governance in Dawiso works through the same catalog and lineage framework as your data assets. **What deployment options are available?** Dawiso is available as SaaS, on-premise, and hybrid with full feature parity. Manufacturers with data sovereignty requirements or air-gapped environments run Dawiso fully on-premise. Enterprise authentication via Azure AD, LDAP, and SAML is fully supported. **How is Dawiso priced?** Dawiso is priced per user, not per data source or scanned object. You can roll out governance to every team in your organization without per-connector or per-asset fees. [See our pricing page](https://www.dawiso.com/pricing) or [book a demo](https://www.dawiso.com/book-a-dawiso-demo) for a quote tailored to your organization size. ## Bring one plant KPI report. We will trace it with you. A 30-minute session with our manufacturing team, built around your report, your stack and your plants. [Book a demo](https://www.dawiso.com/book-a-dawiso-demo) [Take the demo tour](https://demo.dawiso.com/dashboard/demo_welcome) - Live walkthrough on your use case - Deployment options, including on-premise - Pricing for your organization - SOC 2 Type II, ISO 27001, ISO/IEC 27018