Data is one of the most vital, strategic assets any organization possesses. The management and staff of an organization need to make good decisions, i.e., the ones that yield results. They thus need to create guidelines and rules, to ensure that these are being followed and then deal with ambiguities, noncompliance and other issues. A data governance framework empowers an organization to do just that, by allowing them to make informed decisions about how to manage data and eventually realize value from it, minimize cost and complexity, manage risk and ensure that the organization can fulfill the ever-growing demand for compliance with regulatory, legal and state requirements. Organizations need more than just data management; they need a governance system that sets the rules for every type of activity. The system needs to answer data ownership questions, address inconsistencies in data across different departments as well as provide solutions to the growing need of big data and the various advantages it offers. Data governance is a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organizational information. It 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. This paper shows a standard data governance model and strategy that includes people, process and information technology. Data governance Strategy is a joint effort of the business functions of an enterprise organization. Information technology professional deploys technology solutions and systems to establish platform of an enterprise data management process.