Data governance stands as a cornerstone in achieving compliance with the Cybersecurity Maturity Model Certification (CMMC), playing a crucial role in ensuring the security and integrity of organizational data.
Fundamentally, data governance involves the systematic management of data availability, usability, integrity, and security within enterprise systems. This management adheres to internal data standards and policies, establishing a framework that maintains the consistency, trustworthiness, and responsible use of data to prevent misuse.
In the context of CMMC, data governance takes on heightened importance. The accurate identification of information as Federal Contract Information (FCI), Controlled Unclassified Information (CUI), or Covered Technical Information (CTI) serves as a foundational step. This identification is not a mere formality; it significantly influences how information is handled and classified, forming the basis for robust Access Control (AC) measures.
For instance, specific guidelines are provided for controlling the flow of CUI in accordance with approved authorizations. Understanding how to classify data becomes crucial, directly impacting which individuals within the organization are authorized to access CUI. Effective data classification allows organizations to manage access controls in alignment with security protocols and compliance requirements.
Eliminating ad-hoc approaches to data management is essential, given data’s critical role as a business asset. A systematic approach to data governance becomes imperative, especially as data volumes and complexities grow, necessitating solutions for increasingly intricate business questions.
Implementing enterprise-wide data governance is a substantial task. Breaking down this initiative into manageable steps involves identifying current and desired data governance levels, focusing on strategic quick wins for building support, and gradually developing the facets of a sound data governance framework or program.
Given the complexity and significance of such initiatives, organizations often lack the internal resources and expertise required for successful implementation. In these cases, involving a third-party with specialized expertise becomes a strategic imperative. External entities can assist in mapping out a tailored data governance framework specific to the organization’s business and industry, facilitating a phased and measured maturity over time. This collaborative approach ensures that data governance aligns with organizational objectives and compliance mandates in an effective and sustainable manner.
If you would like more information on how to create and implement data governance in your organization, please follow this link and complete the form.
ABOUT MAINSTREAM TECHNOLOGIES
Mainstream Technologies (www.mainstream-tech.com) is a technology services company headquartered in Little Rock, Arkansas that creates, manages, and secures technology for business and government customers across the nation through its Custom Software Development Services, Managed Technology and Hosting Services, and Cyber Security Services.
