Data Governance Definition

  • Sub-Discipline of Information Governance
  • Frequently Misused Term (disambiguation with “Data Management”)
  • Information Types: Structured

Data Governance is the overarching and coordinating strategy for all organizational data. Data Governance takes its’ high level direction from Information Governance. Related to organizational data, Data Governance extends the authorities, supports, processes, capabilities, structures, and infrastructure from Information Governance. Data Governance is primarily focused on data accessibility, data use, and data security, with the goal of ensuring data quality and data integrity.

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Data Governance Key Points

  1. Data Governance is one of the two highest sub-disciplines of Information Governance (shared with Content Governance - see “Content Management”).
  2. Data Governance is about planning, policy, and strategy.
  3. Ensures data quality and integrity throughout the Information Lifecycle.
  4. Data Governance is often established through a council, team, or group. Not through a single person’s direction.
  5. With guidance provided by Information Governance, Data Governance should establish the authorities, supports, processes, capabilities, structures, and infrastructure related to organizational data.
  6. Data Governance efforts often focus on the data accessibility, usage, and security - while ensuring data quality and data integrity.

Data Governance Overview

Data Governance should flow from Information Governance. Information Governance should establish much of the organizational level strategy and policy across all Information. Since data is a subset of information,  Data Governance should be a sub-discipline of Information Governance. Unfortunately, in many organizations this is not the case. In fact, as a discipline, Data Governance usually pre-dates Information Governance efforts, may cause power struggles in many organizations between the two. This is unfortunate because alignment between the two is critical to success.

Data Governance is often mistaken for or improperly scoped to include Data Management. Data Governance should establish a high-level policy and strategy whereas Data Management should be the tactical execution of the policy and strategy. Thus bringing it into the organization as a reality. The two should work hand in hand. However, many Data Governance practices, in reality, are nothing more than Data Management practices, leaving the strategic behind. Other Data Governance practices overscope and end up performing the tasks of Data Management in addition to their Data Governance tasks. This isn’t necessarily a bad thing. However, caution is warranted, especially when benchmarking comparisons and cost comparisons occur.

Data Governance efforts are also often handled by a limited group of individuals within an organization. These efforts rely heavily on input from the technical disciplines that spring out of the Information Technology divisions. This is a mistake that many organizations make. Data Governance initiatives must rely on input from across a wide variety of stakeholders and should look to the cross-functional groups suggested for Information Governance as a guideline regarding who to include in a Data Governance committee.

When Data Governance efforts are too heavily focused on the technical, they forget their organizational alignment and the benefits that good quality data provides. There should also be a balanced mix between individuals focused on the risk that data presents to the organization (and often the risk of unauthorized access of data) with individuals focused on the value that quality data brings to the organization, including organizational decision making.

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Information Coalition Resources

Some resources are available only to Professional Members or Standard Members (free).

Rick Borden – Cybersecurity and Privacy Regulations Now Require Information Governance


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While information governance has been a best practice in cybersecurity, outside of the Federal government and Sarbanes-Oxley financial reporting requirements, for the most part, regulations have not required information governance. That is rapidly changing. The New York Department of Financial Services new cybersecurity regulation has intensive information governance requirements that go beyond personal information. The European Global Data Protection Regulation also has significant information governance requirements. This session will discuss some of these regulatory requirements and where regulation is going in these areas.

Richard Hogg & Dennis Waldren – Cognitive Unified Governance and Privacy for GDPR


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GDPR is Coming, May 25, 2018, brings a whole new order of EU Personal Data Privacy and Protection rights, duties, and obligations. What changes, what’s your risk and how can you start to prepare?

How can a Unified Governance strategy and capabilities transform both your information governance program, and provide a framework for personal data?

How that strategy can leverage metadata to support and accelerate meeting regulatory issues.

Panel: Information Governance For Government, Educational Institutions, & Non-Profits


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Panel: Information Governance For Government, Educational Institutions, & Non-Profits – Mara Hermano (Rhode Island School of Design – RISD), Mansur Hasib (University of Maryland University College (UMUC), Kevin Parker (NEOSTEK) & Joel Westphal (U.S. Naval Archives).

Governance First, Governance Stealthy, Governance Visionary – Seth Maislin


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Avoid the problem of “getting to governance” by putting governance first, and doing so quietly. In this presentation, Seth Maislin will explain how you can establish a culture of sustainability and ownership without ever using saying the G-word aloud. Learn to create and support a top-down vision using metrics-driven communications, social campaigns, and spirited collaboration.

The Intersection Between Information Governance and Data Privacy & Security – Linn Freedman

Noted Privacy Expert, Linn Freedman, shares her thoughts on the current state of privacy and security.

Takeaways:

  • What is the current state of privacy in the US
  • How can your organization better prepare for future privacy requirements
  • What is coming next with regards to privacy and security

So Many Standards & No Best Practices – D. Madrid


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A ‘boots on the ground’ view of best practices for enterprise information. There are many good theories and standards on how to implement Information Governance. However, the reality putting it into practice is vastly different. D Madrid will share her experience and best practices in accomplishing Information Governance.

Takeaways:

  • Management vs Leadership
  • Just because you build it, does not they will use it.
  • Adapt or Perish
  • Collaborate for Success

Metrics Driven Content Governance – Seth Maislin


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Historically, information development managers measure success in terms of on-budget and on-time content delivery. But how can we connect the dots between day-to-day info dev activities, the work that content enables, and business impact?

In this session, Seth Maislin will share our point of view on managing information development processes to drive business results. Seth will review real-world cases, including an intelligent assistant application for Allstate, to illustrate how we connect the dots.

The Information Governance Conference 2018