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Enterprise Data Strategy and GovernanceProject CharterDATE: 9/20/2017 VERSION 1.0 Prepared By: Meany Levitt and Paul Given Page 1Enterprise Data Strategy and Governance Document Revision HistoryVersion
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How to fill out enterprise data strategy and

01
Start by analyzing your current data infrastructure and identifying any gaps or inefficiencies.
02
Define your goals and objectives for the enterprise data strategy. This could include improving data quality, enhancing data security, or enabling better data-driven decision making.
03
Develop a comprehensive data governance framework to ensure that data is collected, stored, and used in a consistent and compliant manner.
04
Conduct a thorough assessment of your organization's data needs and requirements. This will help determine what types of data should be collected, how it should be stored, and how it should be analyzed.
05
Implement the necessary infrastructure and tools to support your enterprise data strategy. This may involve investing in new technologies, hiring data professionals, or integrating existing systems.
06
Establish clear roles and responsibilities for data management within your organization. This includes assigning data stewards, data owners, and data custodians to ensure data is properly managed and protected.
07
Continuously monitor and evaluate the effectiveness of your enterprise data strategy. Regularly review and update your strategy to adapt to changing business needs and technological advancements.

Who needs enterprise data strategy and?

01
Large enterprises that have a significant amount of data and need to manage and leverage it effectively.
02
Organizations that rely heavily on data for decision making and want to ensure its accuracy, accessibility, and security.
03
Businesses operating in industries with strict regulatory requirements, such as healthcare or finance, where data governance and compliance are crucial.
04
Companies undergoing digital transformation and looking to harness the power of data to drive innovation and gain a competitive edge.
05
Any organization that wants to improve their data management practices and unlock the value of their data assets.
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Enterprise data strategy is a plan that outlines how an organization will manage and utilize its data assets to achieve its business objectives.
Organizations of all sizes and industries are required to develop and implement an enterprise data strategy.
Enterprise data strategy can be filled out by gathering information related to current data assets, identifying goals and objectives, outlining strategies to achieve them, and assigning responsibilities.
The purpose of enterprise data strategy is to ensure that data is managed effectively to support business decision-making, drive innovation, and enhance operational efficiency.
Information such as data governance policies, data quality measures, data security protocols, data storage and processing methods, and data usage guidelines must be reported on enterprise data strategy.
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