Data Governance Definitions: catalogue of terms

What definition should you use to describe your data governance initiative? 

The vast majority of your organisation will be unfamiliar with the term data governance so it helps to create a definition that they can understand. Without a clear definition, you will struggle to communicate the benefit and value that your initiatives bring.


Important: The research for this topic was provided as part of the Top Data Governance Mistakes presentation Learning Module found in the new Data Quality Pro Virtual Summit.

Find out more about the Data Quality Pro Virtual Summit: http://www.dqpvs.com


Data Governance: List of Definitions


Data Governance Institute Definition:

Short version:

“Data Governance is the exercise of decision-making and authority for data-related matters.“

Long version:

“Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”

Find out more: http://www.datagovernance.com/adg_data_governance_definition/


Search Data Management Definition:

“Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. A sound data governance program includes a governing body or council, a defined set of procedures, and a plan to execute those procedures.”

Find out more: http://searchdatamanagement.techtarget.com/definition/data-governance


Wikipedia Definition:

“Data governance is a control that ensures that the data entry by an operations team member or by an automated process meets precise standards, such as a business rule, a data definition and data integrity constraints in the data model. The data governor uses data quality monitoring against production data to communicate errors in data back to operational team members, or to the technical support team, for corrective action. Data governance is used by organizations to exercise control over processes and methods used by their data stewards and data custodians in order to improve data quality.”

Find out more: http://en.wikipedia.org/wiki/Data_governance


Robert Seiner Definitions from “Non-Invasive Data Governance” publication:

  • Variant 1: “Data governance is the formal execution and enforcement of authority over the management of data and data related assets.”
  • Variant 2: “Formalizing behavior around the definition, production, and usage of data to manage risk and improve quality and usability of selected data.”
  • Variant 3: “Formalizing and guiding behavior over the definition, production, and use of information and information-related assets.”

Find out more:

http://www.amazon.com/Non-Invasive-Data-Governance-Robert-Seiner/dp/1935504851 

https://technicspub.com/data-governance/ 



Attributed to: John Ladley, Danette McGilvray, Anne-Marie Smith and Gwen Thomas:

"Data Governance is the organization and implementation of policies, procedures, structure, roles, and responsibilities that outline and enforce rules of engagement, decision rights, and accountabilities for the effective management of information assets."

Find out more: http://tensteps.gfalls.com/



Definition from Oracle:

“Data governance is the specification of decision rights and an accountability framework to encourage desirable behavior in the valuation, creation, storage, use, archival and deletion of data and information. It includes the processes, roles, standards and metrics that ensure the effective and efficient use of data and information in enabling an organization to achieve its goals.”

Find out more: http://www.oracle.com/technetwork/articles/entarch/oea-best-practices-data-gov-400760.pdf 


MDM Institute Definition:

“The formal orchestration of people, processes, and technology to enable an organization to leverage data as an enterprise asset.”



IBM Data Governance Council Definition:

“...the political process of changing organizational behavior to enhance and protect data as a strategic enterprise asset.”


Forrester Definition:

“...the process by which an organization formalizes the fiduciary duty for the management of data assets critical to its success.”


Richard Biehl Definition:

“Data governance is a cross-organizational function that sets policy and guidance for data definition, ownership, and stewardship of the strategic data asset of the enterprise.”

Find out more: http://www.doqs.com


DAMA-DMBOK definition:

"...the exercise of authority and control (planning, monitoring, and enforcement) over the management of data assets."

Thanks to Steve Corcoran (see comments below).


Tech Briefing: How to manage and monitor standardised data use and quality across multiple data domains

Tech Briefing: How to manage and monitor standardised data use and quality across multiple data domains

The theme for this technology briefing is how to introduce and maintain a standard of data quality and use across multiple data domains. 

In this Tech Briefing, attendees learn how to control and introduce a standardised set of data and to check and monitor the use of that standardised data across multiple domains. 

This includes reporting, data comparisons, data management, data quality measures and data quality auditing. 

Read More

How to create a successful Data Quality Centre of Excellence: Laura Sebastian-Coleman

How to create a successful Data Quality Centre of Excellence: Laura Sebastian-Coleman

In this interview, highly experienced Data Quality author and practitioner, Laura Sebastian-Coleman, provides a detailed account of her experiences in launching and growing a Data Quality Centre of Excellence (CoE) in a large organisation.

Laura has appeared before on Data Quality Pro and is the author of 'Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework'.

Read More

Tech Briefing: Data Governance - Beyond Definitions, into the Business Reality of Data

Tech Briefing: Data Governance - Beyond Definitions, into the Business Reality of Data

Data definitions are central to any data governance solution. At the same time data governance initiatives often struggle to drive real change as it is definitional and pure governance work fail to engage the business community.

More often than not data quality and alignment issues are people issues and your data governance initiative will need to be able to bring those communities to the table and incentivise and empower behavioural change.

Read More

VIDEO: How to create a rapid Data Quality Assessment

In this video tutorial by Dylan Jones, editor of Data Quality Pro, we learn of an effective data quality assessment strategy that was able to create high impact 'data quality stories' often within one day. These stories helped convince some of the world's largest organisations to take action and invest in data quality improvement. 

Read More

Creating a mature data quality strategy and culture: Interview with Eric Callmann of DigitalGlobe

Creating a mature data quality strategy and culture: Interview with Eric Callmann of DigitalGlobe

In this interview I speak with Eric Callmann, a highly experienced information quality and information management expert. 

Eric is currently leading the Quality program at DigitalGlobe, Inc and took time out to share some of the novel approaches to data quality that his company have adopted as well as tactics for data governance and maturing a data quality culture.

Read More

Tech Briefing: Navigating the MDM journey to customer-centricity in insurance, featuring VisionWare

Tech Briefing: Navigating the MDM journey to customer-centricity in insurance, featuring VisionWare

This sponsored tech briefing features guest presenter Gary Stalker, VP Technical Services from VisionWare. 

The focus of the presentation is to help you plan for a successful Master Data Management (MDM) project and mitigate the pitfalls associated with inadequately scoped initiatives.

Read More

Tech Briefing: How to Apply Lean Data Quality Management principles for smarter delivery of risk and compliance reporting

Tech Briefing: How to Apply Lean Data Quality Management principles for smarter delivery of risk and compliance reporting

During this webinar, experienced Data Quality practitioner James Phare of UK based Data to Value will demonstrate how a Lean approach leveraging Data Prototyping can be used to simultaneously address Data Quality issues whilst also progressing wider project requirements.

Read More

FREE Global Sourcebook for International Data Management: Featuring Graham Rhind

FREE Global Sourcebook for International Data  Management: Featuring Graham Rhind

The Global Sourcebook (formerly The Global Source Book for Name and  Address Data Management) is an up to date resource containing an exhaustive library of  information relating to international data naming conventions all in one place. Maintained and published by Graham Rhind since 1994, it is now a free resource, supported by donations, sponsorship and advertising.

Read More

Tech Briefing: A Pragmatic guide to BCBS239 compliance: inventorise, connect and control

Tech Briefing: A Pragmatic guide to BCBS239 compliance: inventorise, connect and control

BCBS239 explicitly challenges the silo driven structure of firms today with clear requirements to bring a holistic enterprise understanding of risk data, risk data aggregation & reporting. 

In the following Tech Briefing webinar recording, Data Governance expert Patrick Dewald of Diaku demonstrates how their innovative technological solution enables financial institutions to capture data aggregation building blocks along with interconnectedness, lineage and governance.

Read More

How to successfully deliver a corporate data quality program - Sherry Michaels interview

How to successfully deliver a corporate data quality program - Sherry Michaels interview

What does it take to deliver a large, complex data quality initiative in a heavily regulated industry? How do you get senior leaders bought-in and data stewards empowered?

These are just some of insights shared by Sherry Michaels, currently Data Quality Program Manager for The Hartford, and a data quality leader for over a decade.

Sherry has 3 decades of insurance experience and talks openly about the practical techniques she has adopted to help mature data quality, data governance and data stewardship across her past projects.

Read More

EU Data Protection Interview with Daragh O Brien

EU Data Protection Interview with Daragh O Brien

The new EU data protection regulations are causing quite a stir and will impact not just EU countries but also non-EU organisations.

Just what these impacts will be and how to prepare requires considerable planning so I caught up with data protection and data quality expert Daragh O Brien of Castlebridge Associates to find out more.

Read More