GITS Data Governance

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There are so many things going on in your environment, from an IT perspective – How do you avoid ‘dropping the ball’?   As resources come and go in your organization, how do you ensure that consistent procedures and decision-making techniques are used to further the realization of your strategies, goals and objectives?

Most importantly, if data items have dissimilar names in different applications, spreadsheets and databases, how you ascertain the ‘return’ on your IT investments?

Data Governance is the actual implementation of policies and procedures that are dictated by the ‘Policy Artifacts’ (e.g., Corporate Charters, Handbooks, Business/Technical Requirements) associated with a given enterprise. Included in Policy Artifacts are guidelines pertaining to Security Entitlements, Customer Treatment, Regulatory Procedures, Risk Management, Operational Procedures, the Data Quality Management Program and behavior associated with the corporate workplace.

rigoruseA rigorous Data Governance program can address these issues. Our brand of Data Governance ‘Handshakes’ is designed to identify the costs and Return On Investment associated with proper Data Management. Management no longer has to entertain the perspective of ‘putting up’ with Data Governance, just to be safe. Our methodology can be customized to your environment by using techniques that will be driven by documented business needs and opportunities. If your firm is facing Human Resources costs or Data Management issues, it would be a good idea to listen to one of our free presentations to see if we can make a difference.

 

 

data-imgGITS Data Governance provides specific instructions for ‘Handshakes’ with each type of Business Partner (e.g., Data Architecture, Senior Management, End Users, Application Development, Human Resources) that needs to be engaged to ensure that the following are addressed:

  • Policy Artifacts
  • Security Entitlements
  • Semantic Consistency And Silo Elimination
  • Data Requirements
  • Data Quality Management
  • Release Management
  • Operational Efficiency/Silo Effect Elimination
  • Application and Data Cost Management
  • Budgets