Master Data Governance
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Data Governance is a series of activities and processes that help ensure the formal management of data assets inside an enterprise. It also involves other concepts such as Data Architecture, Data Integration, Data quality and others to help organizations get greater control of their data resources, including processes, technologies, and rules relating to effective data management. Furthermore, it manages security and protection, integrity, accessibility, integration, enforcement, reliability, tasks and responsibilities, and the proper implementation of data from multiple sources within the enterprise. Master Data Governance guidelines describe company rules on various factors, including data access, storage, confidentiality, use and discard.
While most organizations have specified policies, but lack of enforcement within an enterprise is troubling. Many factors prevent enforced data governance policies, including:
Fortunately, pioneering tech companies have created strategies to overcome the above-mentioned data governance challenges.
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Data governance establishes internal standards and policies that regulate how data is collected, kept, processed, and disposed of. It determines who has access to what types of data are governed and what are not.
Although data management processes handle the actual production and ongoing preservation of master data, the methodology directs the best data governance practices of the industry, such as compliance with ISO 8000. data standards, whereas the business rules define the proper use of the data to drive an efficient and effective business operation. Specifically, business rules.
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