26 January 2017

⛏️Data Management: Data Governance (Definitions)

"The infrastructure, resources, and processes involved in managing data as a corporate asset." (Jill Dyché & Evan Levy, "Customer Data Integration", 2006)

"A process focused on managing the quality, consistency, usability, security, and availability of information." (Alex Berson & Lawrence Dubov, "Master Data Management and Customer Data Integration for a Global Enterprise", 2007)

"The practice of organizing and implementing policies, procedures, and standards for the effective use of an organization's structured or unstructured information assets." (Laura Reeves, "A Manager's Guide to Data Warehousing", 2009)

"The process for addressing how data enters the organization, who is accountable for it, and how - using people, processes, and technologies - data achieves a quality standard that allows for complete transparency within an organization." (Tony Fisher, "The Data Asset", 2009)

"A framework of processes aimed at defining and managing the quality, consistency, usability, security, and availability of information with the primary focus on cross-functional, cross-departmental, and/or cross-divisional concerns of information management." (Alex Berson & Lawrence Dubov, "Master Data Management and Data Governance", 2010)

"The policies and processes that continually work to improve and ensure the availability, accessibility, quality, consistency, auditability, and security of data in a company or institution." (David Lyle & John G Schmidt, "Lean Integration", 2010)

"The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"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." (Oracle, "Enterprise Information Management: Best Practices in Data Governance", 2011)

"Processes and controls at the data level; a newer, hybrid quality control discipline that includes elements of data quality, data management, information governance policy development, business process improvement, and compliance and risk management."(Robert F Smallwood, "Information Governance: Concepts, Strategies, and Best Practices", 2014)

"The process for addressing how data enters the organization, who is accountable for it, and how that data achieves the organization's quality standards that allow for complete transparency within an organization." (Jim Davis & Aiman Zeid, "Business Transformation", 2014) 

"A company-wide framework that determines which decisions must be made and who should make them. This includes the definition of roles, responsibilities, obligations and rights in handling the company’s resource data. In this, data governance pursues the goal of maximizing the value of the data in the company. While data governance determines how decisions should be made, data management makes the actual decisions and implements them." (Boris Otto & Hubert Österle, "Corporate Data Quality", 2015)

"The discipline of applying controls to data in order to ensure its integrity over time." (Gregory Lampshire, "The Data and Analytics Playbook", 2016)

"Data governance refers to the overall management of the availability, usability, integrity and security of the data employed in an enterprise. Sound data governance programs include a governing body or council, a defined set of procedures and a standard operating procedure." (Dennis C Guster, "Scalable Data Warehouse Architecture: A Higher Education Case Study", 2018)

"It is a combination of people, processes and technology that drives high-quality, high-value information. The technology portion of data governance combines data quality, data integration and master data management to ensure that data, processes, and people can be trusted and accountable, and that accurate information flows through the enterprise driving business efficiency." (Richard T Herschel, "Business Intelligence", 2019)

"The processes and technical infrastructure that an organization has in place to ensure data privacy, security, availability, usability, and integrity." (Lili Aunimo et al, "Big Data Governance in Agile and Data-Driven Software Development: A Market Entry Case in the Educational Game Industry", 2019)

"The management of data throughout its entire lifecycle in the company to ensure high data quality. Data Governance uses guidelines to determine which standards are applied in the company and which areas of responsibility should handle the tasks required to achieve high data quality." (Mohammad K Daradkeh, "Enterprise Data Lake Management in Business Intelligence and Analytics: Challenges and Research Gaps in Analytics Practices and Integration", 2021)

"A set of processes that ensures that data assets are formally managed throughout the enterprise. A data governance model establishes authority and management and decision making parameters related to the data produced or managed by the enterprise." (NSA/CSS)

"The management of the availability, usability, integrity and security of the data stored within an enterprise." (Solutions Review)

"The process of defining the rules that data has to follow within an organization." (Talend)

Data governance 2.0: "An agile approach to data governance focused on just enough controls for managing risk, which enables broader and more insightful use of data required by the evolving needs of an expanding business ecosystem." (Forrester)

"Data governance encompasses the strategies and technologies used to ensure data is in compliance with regulations and organization policies with respect to data usage." (Adobe)

"Data governance encompasses the strategies and technologies used to make sure business data stays in compliance with regulations and corporate policies." (Informatica) [source]

"Data Governance includes the people, processes and technologies needed to manage and protect the company’s data assets in order to guarantee generally understandable, correct, complete, trustworthy, secure and discoverable corporate data." (BI Survey) [source]

"Data governance is a control that ensures that data entry by a business user or an automated process meets business standards. It manages a variety of things including availability, usability, accuracy, integrity, consistency, completeness, and security of data usage. Through data governance, organizations are able to exercise positive control over the processes and methods to handle data." (Logi Analytics) [source]

"Data governance is a structure put in place allowing organisations to proactively manage data quality." (experian) [source]

"Data governance is an organization's internal policy framework that determines the way people make data management decisions. All aspects of data management must be carried out in accordance with the organization's governance policies." (Xplenty) [source]

"Data Governance is the exercise of decision-making and authority for data-related matters." (The Data Governance Institute)

"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." (The Data Governance Institute)

"Data governance is the practice of organizing and implementing policies, procedures and standards for the effective use of an organization's structured/unstructured information assets." (Information Management)

"Data governance is the specification of decision rights and an accountability framework to ensure the appropriate behavior in the valuation, creation, consumption and control of data and analytics." (Gartner)

"The exercise of authority, control and shared decision making (planning, monitoring and enforcement) over the management of data assets. It 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." (CODATA)

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IT Professional with more than 24 years experience in IT in the area of full life-cycle of Web/Desktop/Database Applications Development, Software Engineering, Consultancy, Data Management, Data Quality, Data Migrations, Reporting, ERP implementations & support, Team/Project/IT Management, etc.