Improving data quality for better business intelligence in manufacturing

This client is a world leader in aeronautical equipment and systems for commercial, regional, and business aircraft, as well as helicopters and space. It develops and manufactures cutting-edge solutions to improve comfort and on-board facilities, as well as high-tech systems to improve aircraft performance and flight safety.

The need for improved Master Data Management became a necessity during the development of their services division, which offers a global distribution network of spare components, maintenance of equipment manufactured by the group’s other divisions, and tailor-made support services for air operators.

Enforcing data quality, data consolidation, data integration, and human workflows.

The aeronautical equipment manufacturer chose the Semarchy Unified Data Platform for its flexibility and iterative approach. The Semarchy technology corresponded to their need to build the Data Hub one step at a time, allowing them to scale gradually and integrate existing content into the tool while keeping the work already completed. Utilizing Semarchy, they leveraged one platform for strategic data management, powerful data integration, and intuitive data governance.


  • Data Management: Move data from Excel and consolidate a single point of entry for post-sales activities, using the same semantics for data
  • Data Governance: Realign data with a single definition and the same model from multiple sources
  • Data Quality and Integrity: Ensure single source of truth for customers, articles, and suppliers data
  • Data Integration: Integrate several million records for articles, customers, and suppliers from ERP system


  • Integrated and cleaned data from multiple sources to establish effective BI
  • Integrated SAP BFC – Business Object Financial Consolidation with Semarchy for improved efficiency, quality, and speed for financial reporting
  • Consolidated reference data as a foundation for the implementation of the workflow system (PEGA)
  • Measured value and easily evaluate data initiative performance in context with business KPIs


  • Improved business reporting and BI – including customers, articles, and suppliers, with better data quality and integrity
  • Democratized data provided secure access to consolidated, easily understood data views
  • Empowered teams to crowd-curate and collaboratively govern critical data
  • Solved data governance in parallel with data management and data integration initiatives, all in one place

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