{"id":3406,"date":"2020-01-20T19:51:35","date_gmt":"2020-01-21T00:51:35","guid":{"rendered":"http:\/\/www.dcamportal.org\/?p=3406"},"modified":"2021-09-27T09:03:43","modified_gmt":"2021-09-27T13:03:43","slug":"dcam-framework-6-data-governance","status":"publish","type":"post","link":"https:\/\/staging.dcamportal.org\/fr\/dcam-framework-6-data-governance\/","title":{"rendered":"Cadre DCAM \u2013 6.0 Gouvernance des donn\u00e9es"},"content":{"rendered":"
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Upper Matter<\/h2>\r\n <\/div>\r\n\r\n
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Introduction<\/h3>\r\n\r\n

Data governance function<\/span> is the backbone of a successful data management (DM) initiative. Data governance is the process<\/span> of setting standards, defining rules, establishing policy<\/span> and implementing oversight. It is these steps that ensure adherence to DM best practices. Governance formalizes and empowers the DM initiative to ensure propagation and sustainability throughout the organization.<\/p>\r\n\r\n

The purpose of data governance is to formalize DM as an established business function<\/span>. Data governance establishes the rules of engagement, drives the prioritization of funding and enforces compliance. Data governance delineates the guidelines for data movement. These movement guidelines prescribe how data will be acquired, persisted, distributed, appropriately used, archived and\/or defensibly destroyed. Data governance formalizes oversight by establishing control guidelines, approval processes and evaluation of adherence to policies and procedures. It identifies stakeholders and empowers them. Data governance ensures that DM principles are fully detailed and adoption is achieved. Business, data and technology functions are held responsible for the maintenance, quality and proper use of data throughout the organization as part of the Data governance function<\/span>.<\/p>\r\n\r\n

Definition<\/h3>\r\n\r\n

The Data Governance (DG) component is a set of capabilities to codify the structure, lines of authority, roles & responsibilities, escalation protocol, policy<\/span> & standards, compliance, and routines to execute processes across the data control environment. This ensures authoritative decision making at all levels of the organization.<\/p>\r\n\r\n

Scope<\/h3>\r\n\r\n