How to Meet Ever Changing Data Governance Standards

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The increased demand for data means enterprises must ensure its integrity, accessibility, availability, quality, and security.

As security breaches become more commonplace and disruptive, it’s top priority to improve data governance to reduce commercial and regulatory risks while also realizing larger business objectives.

DBTA recently held a webinar with Jeffrey Giles, principal architect at Sandhill Consultants, and Hamilton Hayes, enterprise modeling standards practice leader at Sandhill Consultants, who discussed how organizations can discover, understand, govern, and socialize its data assets for greater visibility, control and value across the enterprise.

The fundamentals of data governance involve reducing risks associated with data and optimizing operations, according to Giles and Hayes.

Without a strong data governance program organizations can mismanage data, people make more mistakes, productivity is limited if information can’t be found, data breaches become commonplace, and failed compliance.

There is a great need for guidance and a consistent end-to-end view of organizations processes and standards, Giles and Hayes said.

A sound data governance program includes:

  • An assessment and roadmap
  • The governing authority
  • Governance roles: Data Owners and Custodians
  • Policies on accountabilities and responsibilities
  • Metadata standards
  • Control and audit processes
  • Measures and evaluations
  • Monitor the efficiency of your controls over time
  • Must allow for adaptability and change management

Sandhill’s Approach to Data Governance:

  • Engage the client to understand their data governance needs
  • CMMI / DMM and / or a model management assessment
  • Create a roadmap and policies that progress the organization goals
  • Engage and integrate Data Governance as part of the larger data management ecosystem
  • Enable the consistent end-to-end view of an organization’s processes and standards and measure the effectiveness of their data governance and management system
  • Ensures data meets the enterprise integrity, usability, and operability requirements
  • Provides knowledge, expertise, technology, and architecture for helping organizations attain Level 3 CMMI-DMM Maturity should they desire
  • Improves DM productivity while minimizing impact to the organization

An archived on-demand replay of this webinar is available here.