Data Governance

Governance must not refrain from using data in your company. Instead, it should define key principles applied on daily basis

Enhance the Value and Trust of Data

Governance should define key principles applied daily, to:

  • Change your working habit from Control to Collaborative work
  • Be preemptive and proactive not reactive to the data issue
  • Understand how to react and how to deploy new answers to regulation
  • Widespread your governance principle through your Enterprise Data Catalog
  • Follow the path of Data Democracy
  • Facilitate the reach of Data Democracy

It relies on a wide Operating Model which :

  • Design Role and Responsibility
  • Identify, Train and Mentor data owner
  • Steer & Support Data life cycle
  • Quantify and demonstrate the business value of Data Initiatives (Infonomics)
  • Apply continuous improvement of value and trust to data
  • Set the pace with the Data Architecture team

  
Data Governance needs to keep it simple and display ground results to secure company endorsement.
  

Main Pitfalls

How Can We Help
  • The success of Data Governance is to address the 3 following pillar equally: People, Process, and Technology
  • Data Governance is not a one-time action, it needs to be recurring practice and organization
  • Start small and set SMART objectives for your initiative around the dedicated perimeter
  • Drive Governance from the IT without the sponsorship and the business
  • List and translate the strategic objectives of the board into objectives and principles for Data
  • Support on the Data Identification with a tailored Governance methodology
  • Support Organization change with an Operating Model for Governance
  • Train Governance team on their new Job
  • Provide predefined KPIs and position your company on a maturity matrix
  • Data Road-map and Operating Model Deployment
Our references Clients
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