Central data platform for mapping use cases from the business departments

Introduction of Databricks platform at public utilities

Starting point

  • Many use cases from the business departments cannot be mapped with the IT systems.
  • Historically grown SAP-centric environment.
  • Limited analytical functions within SAP.
  • Difficult access to SAP data outside the SAP environment.
  • Heterogeneous siloed landscape.
  • Lack of integration of marketing and IoT data.
  • ML/AI functions are not available

Approach

  • Capture of use cases
  • Evaluation of the importance of use cases along the IT strategy and expected benefits
  • Derivation of required analytics functionalities
  • Evaluation of market providers for data platforms
  • Establishment of Databricks for initial use cases
  • Expansion of Databricks into an overarching data platform
  • Integration of ML/AI and streaming into the platform
  • Gradual expansion of additional use cases

Features/Project outcome

  • Unified data platform
  • Governance support through the Unity Catalog
  • Decommissioning of siloed solutions
  • Mapping of new business department use cases
  • Integration of ML/AI
  • Integration of IoT data

Customer benefits

  • The IT department has a platform to map all use cases from the business departments
  • Onboarding of existing use cases enables the decommissioning of silos.
  • New use cases, for which the technical foundation was previously lacking, can now be mapped.
  • Strengthening the reputation of IT across all business departments.
  • Creating a central foundation for GenAI use cases
Lars Ritter | Senior Manager