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Published on May 29, 2017

SILVERRUN 2.9.2 DGX features the integration of business modeling and measures for Data Governance and Regulatory Compliance.


What Is Data Governance?

Data Governance is an organization's practice, based on documented policies and standards, to accomplish and maintain

  • Data Regulation Compliance
  • Data Strategy Compliance
  • Data Security
  • Data Quality
while applying the principles of Economy.

Data Regulation Compliance is the goal to comply with international and national laws and standards as well as with industry-specific regulatory requirements related to an organization's data.

Data Strategy Compliance is the goal to comply with (additional) data-related strategic and tactical directives which have been defined and issued by the organization's executive level and/or a line of business' management.

Data Security is the targeted degree of protecting the organization's data from corruption, theft, loss and unauthorized access.

Data Quality is the targeted degree of availability, provenance traceability, completeness, conformity, validity, correctness, consistency and timeliness of data that make it suitable for the organization's purpose of use.

Applying the principles of Economy means to accomplish and maintain the aforementioned targets with the highest possible return-on-investment (ROI), respectively, with the lowest cost (particularly considering the cost of inaction (COI)).

(Extract from a blog post published by Grandite's Axel Troike here)

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