Data governance applies quality control in order to manage, operate, optimize, evaluate, protect, control, and maintain business data. This is a critical issue in the age of Big Data.


Yet all of this business data is of varying strategic importance. Governance of master data focuses on reference data, for which quality is paramount.

 

 

 

 

 

Our vision

Cross guides you through the governance of your data. Objective: To reduce operating risks for senior management, related to negligent management of reference data :

 

  • Risks and compliance: An inaccurate risk assessment has implications for strategic decisions.
  • Fraud: Non-centralized management of beneficiaries leads to a lack of control.
  • Management: Erroneous management reports can result in uninformed decision making.
  • Customer sales efficiency: Customer information that is not shared across sales channels or business areas weakens the service offered to customers.
  • Product sales efficiency: Failure to consolidate product information often draws out the launch times and introduces sales inconsistencies.
  • Purchasing: Disjointed supplier management involves suboptimal procurement contracts.
  • Supply chain: Poor quality supplier information creates significant risks for production.
  • HR: The fragmentation of HR applications means a partial vision of each employee.

 

Implementing operational governance involves putting standards into place and building a management environment and architecture.
Using proven methods and approaches, Cross works closely with its clients, from the definition of their governance project through its implementation. Our support process covers the following four areas:

Implementing operational governance involves putting standards into place and building a management environment and architecture.

Using proven methods and approaches, Cross works closely with its clients, from the definition of their governance project through its implementation. 

Our support process covers the following four areas:

 
Gouvernance operationnelle

Definition of the organisation

  • Governance model
  • Accountability matrix
  • Sponsor(s) – General Management
  • Bodies: Data Quality Committee
  • Governance responsibilities and guarantees by business area
  • Data Manager

Definition of the dictionary, rules, and procedures

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

Definition of the management indicators

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

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

You want to reduce operating risks for your business?

CONTACT US FOR MORE INFORMATION.

Merci pour votre intérêt. Un de nos experts prendra contact avec vous rapidement.
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