Our vision

Data Governance tackles the organizational aspect of managing your data assets.

It defines clear roles, workflow processes and supporting applications to ensure qualitative data throughout the organization.
As such, data governance should be a key part of your integrated data management efforts.

Your benefits

Developing a clear data governance model provides organizations with a variety of benefits. To name but a few:

  • Ensuring data consistency
  • Defining clear roles and responsibilities
  • Improving the accuracy of data
  • Enforcing rules & procedures for managing your data assets
  • Governance enables organizations to support and enforce their data strategy

Our Added Value

Micropole has an extensive knowledge base and proven track record for implementing data governance in a variety of organizations. 

Our experts are available to assist you in your journey towards integrated data management, supported by a data governance model:

  • Assess risks and compliance issues
  • Improve informed decision making on strategic, tactical and operational level
  • Accelerate customer sales efficiency: ensuring consolidation of customer information across sales channels or business areas
  • Consolidate product information in order to reduce sales inconsistencies and enable cross- and upselling
  • Centralize supplier management to reduce suboptimal procurement contracts
  • Create end-to-end visibility on the supply chain in order to optimize the process

How we can help you

Installing a governance model involves putting standards into place and building a management environment and architecture.

Thanks to our methodology and best practices, we can customize the approach to fit the needs of your organization.

Our approach is based on four pillars:

  • Organization
  • Rules & procedures
  • Management indicators
  • Architecture definition

Together with our customers, we work on these 4 domains towards implementing data governance. 

 

Definition of the organization

  • Governance model
  • RACI matrix
  • Budget Sponsorship 
  • Installment of Bodies: Data Quality Committee
  • Roles & responsibilities

 

Definition of the dictionary, rules, and procedures

  • Definition of data dictionary
  • Roles and permissions for managing data
  • Quality rules to be applied: monitoring, data checks, cleanup, reconciliation, etc.
  • Information management processes and procedures


Definition of the management indicators

  • Data quality indicators by business scope
  • Data quality analysis reports
  • Data auditability and traceability reports


Definition of the architecture

  • IS architecture adapted to the targeted data governance strategy in compliance with best practices for planning and development
  • Data Quality Solutions
  • MDM Solutions

 

  • Definition of data dictionary
  • Roles and permissions for managing data
  • Quality rules to be applied: monitoring, data checks, cleanup, reconciliation, etc.
  • Information management processes and procedures
  • Data quality indicators by business scope
  • Data quality analysis reports
  • Data auditability and traceability reports
  • IS architecture adapted to the targeted data governance strategy in compliance with best practices for planning and development
  • Data Quality Solutions
  • MDM Solutions

Are you in search for experienced resources in this domain?

contact us now!

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