Our vision

Data governance provides a quality control framework aiming to manage, utilize, optimize, evaluate, protect, check and maintain corporate data.

However, not all data stored in or transiting through the corporate information system are of equal importance. In this context, Master Data governance deals with master data for which quality is essential.


Micropole partners you on data governance, with the aim of pre-empting certain operational risks caused by poor management of master data such as:

  • Risks and conformity: erroneous risk evaluation => impact on strategic decisions.
  • Fraud: non centralization of beneficiary management => impossibility of checking.
  • Management: erroneous management reports => poor decision-making.
  • Customer commercial efficiency: non-sharing of customer information between the different business lines/channels => deterioration of service offered to customer.
  • Product commercial efficiency: non uniqueness of product information => non optimization of time to market, commercial inconsistency.
  • Purchasing: non uniqueness of supplier management   => non optimized purchase contracts.
  • Supply chain: poor quality supplier information => risks on production.
  • HR: partitioning of HR applications => partial view of each employee.

Our offer

Deployment of operational governance involves the setting up of organizational structure, normative frameworks, architecture and management environments.

Since 2005, the Micropole consulting teams have leveraged a set of approaches and methods to enable customer partnering from the definition through to the implementation of their governance projects. Our partnering approach covers the 4 following areas:

  • Governance model
  • Responsibility matrices
  • Sponsor(s) General Management
  • Bodies : Data Quality Committee 
  • Governance managers and guarantors per business field 
  • Data Manager
  • ...
  • Data dictionary
  • Roles and rights on data management 
  • Quality rules to be applied: surveillance, checks, cleansing, reconciliation...
  • Information management procedures and  processes
  • Data quality indicators per business perimeter.
  • Data quality analysis reports 
  • Data auditability and traceability reports
  • ...
  • IS architecture adapted to the required data governance strategy, in compliance with urbanization best practice   
  • Data Quality solutions
  • MDM solutions

Convinced ?

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