When it applies logical and flexible controls to those assets, the enterprise trusts that the right information is flowing to the right person at the right time, it serves a critical function in business to support regulatory compliance, and it is also crucial to ensuring a common understanding of organizational data assets across an enterprise, also, establish data policy and governance, stewardship of data assets and a transparent audit trail and create a holistic view of data and understand the limitations of your datasets and facilitate regulatory compliance through strategic, policy-led data management.
Without knowing what data you have, what it means, who uses it, what it is for, and how good it is, you can never create the insights and information needed to run a modern data-driven enterprise, define accepted modes of gathering data, also, additionally, it addresses the development and execution of architectures, policies, practices and procedures that manage the full data life cycle.
Such governance-centered legal and regulatory compliance challenges have become a universal issue influencing numerous industries, overall responsibility for Enterprise Data Stewardship, data Policy and Governance including supporting adoption, data Quality Measurement and Problem Management, data Sourcing Oversight and Data Leadership are key strategic projects.
Data governance encompasses the people, processes, and information technology required to create consistent and proper handling of data and understanding of information across the organization, ignoring the boundaries created by organizational structures, therefore, as enterprise businesses are forced to comply with regulations and use data-driven initiatives to increase revenue, the importance of building and maintaining a successful data governance program has increased.
A data governance council is a governing body responsible for the strategic guidance of the data governance program, prioritization for the data governance projects and initiatives, approval of organization-wide data policies and standards, as well as enabling ongoing support, understanding and awareness of the data governance program, data governance that differentiates the processes you need to perform at the ingest, move, use, and monitor stages, for the most part, designed to ensure the integrity of data across the enterprise, change management is a vital part of the total data governance process.
Eliminate tedious, error-prone and expensive manual processes by streamlining downstream data governance and information migration, if data governance extends to only a small portion of the data available in your organization, beneficial impact is minimal and much risk still exists, in addition, governance is all about bringing discipline and control in the form of guidelines for application developers and IT integration engineers to follow, with a goal that the behavior of a data warehouse application becomes predictable and manageable.
Data governance is a system of rights and accountabilities processes that allow for effective and efficient data-related decisions to be made within your organization, recognize what data management is – An IT program and set of technologies that enables and executes on business defined, prioritized policies, standards and rules to ensure data supports the information requirements of customers, employees, partners, and shareholders.
Big data analytics and business intelligence present use cases where data governance is deployed to make data movement efficient, data dimensions more reliable, and information more secure and relevant, you make it easy with centralized account controls that help you manage data and users, and comply with data governance policies, correspondingly, to enable data sharing, the Data Governance Team with the cooperation of the Data Domain Stewards and the business areas must develop, abide by, and communicate a common set of definitions, policies, and standards.