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Data science & AI

Advanced analytics in procurement

Comprehensive, in-depth analysis of procurement-relevant data to identify optimisation potential regarding material and manufacturing costs, supplier performance, inventory and internal process costs at an international mechanical engineering company.

Project content

  • Defining objectives, scope and deliverables
  • Providing and extracting procurement-relevant data (purchasing, sales, products, inventory, logistics, etc.)
  • Preparing the data and building the data pipeline (Medallion architecture)
  • Analysing and modelling the data (exploratory data analysis)
  • Preparing the results in BI dashboards (Power BI)
  • Interpreting and aligning the analysis results
  • Identifying and quantifying optimisation potential (material and manufacturing costs, supplier performance, inventory, process costs)
  • Planning and initiating implementation

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