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Data science & AI

Advanced analytics in service

Conducting a deep dive analysis to identify growth potential for the service business at an international mechanical engineering company.

Project content

  • Defining objectives, scope and deliverables
  • Providing and extracting all customer, installed base, product and service data
  • Preparing the data and building the data pipeline (Medallion architecture)
  • Analysing and modelling the data – exploratory data analysis from the perspective of markets, customers, installed base, products, services including service network
  • Analysing machine data from the installed base where available
  • Preparing the results in BI dashboards (Power BI)
  • Conducting benchmarking of service revenues at the customer and installed base level
  • Interpreting and aligning the analysis results
  • Quantifying and assessing business potential and “Next Best Action”
  • Initiating a project to develop a proof of concept (PoC) for a “Smart Service Control Tower”

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