Automotive

Building a Big Data platform for the corporation

Starting point

  • To be able to offer and implement Big Data projects within the group in a professional service environment, a Big Data Service and Operations platform should be created for two components: IBM SPSS and Hadoop 2.1
  • Establishing a technical and organisational foundation for the successful go-live of Big Data projects. Ensuring platform readiness for onboarding

Procedure

  • Agile project approach with 6 development iterations and 2 test sprints
  • Creating a product backlog with user stories for:
    • Governance
    • Architecture
    • Application Management
    • Technical Installation
    • Technical Operations
  • Quality assurance, risk management, and stakeholder involvement through regular reviews/retrospectives

Features/Project outcome

  • Documented procedures and instructions for the business lines and IT service employees
  • Company-wide transparency and stability through central service transition, service operation, and processes
  • Creating the conceptual foundation for the billing of Big Data services

Customer benefits

  • Savings in setting up each new project, in operational operations (e.g., support), infrastructure, and licensing costs
  • Establishing the foundation (service catalog) for dialogue with the business lines and for collaboration with downstream internal and external service providers of the competence centre
  • Governance through clear guidelines regarding project onboarding. Clearly defined roles and implementation of policies using manageable checklists
Marco Bruno | Senior Manager / Authorised Officer
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