Case Study

A telecom companyImplementing Large scale data governance

A telecom company and Implement Consulting Group

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A leading Nordic telecom company was undergoing a large data-dependent transformation in order to become more innovative and customer oriented. A data governance programme was launched to elevate the customer experience, ensure regulatory compliance and improve business performance. At the same time, an initiative to change the operating model was launched.


With a focus on business impact, e.g. before, during and after implementation, a top-down approach was taken for the foundation of the programme, including data ownership and agreement in decision forums. A more operational approach was introduced by rapidly building virtual end-to-end teams to balance and complement the top-down mindset. A common understanding of cause and effect was established through these teams, and they were able to identify ways of prioritising and addressing issues.


  • Defining ownership types and accountability to ensure focus and commitment.
  • An end-to-end approach to unveil improvement potential and reduce costly firefighting.
  • Identifying data governance cases with clear business pains and using these as project drivers.
  • Securing permanent capabilities by parallel training and onboarding of internal resources.
  • Ensuring that Business, EA and IT are on board and have skin in the game.
  • Focusing the journey on business impact.


  • A positive financial impact case originating from 24 governance cases that were identified, prioritised and launched.
  • Developed, adapted and implanted a scalable data and information governance framework, including a balanced centralised setup to clarify roles and responsibilities between group functions and markets.
  • Established a new data governance team.
  • Identified top priority data domains, identified and prioritised data issues and established KPIs.
  • Defined ownership, accountability, rules and processes and onboarded business data owners and business data drivers.
  • Increased data quality for efficient GDPR implementation.
  • Secured a closer collaboration between Business, EA and IT.
  • Trained the organisation in the importance of focusing on impact and change management in project execution.
Business performance

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