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DRAFTVersion 1.0 March 7, 2012COMMONWEALTH OF VIRGINIAInformation Technology Resource Management (ITEM)ENTERPRISE ARCHITECTURE ENTERPRISE DATA MANAGEMENT (EDM) GENERAL ORGANIZATION DATA EXCHANGE STANDARD
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How to fill out enterprise data management

01
Identify the key stakeholders and decision makers within the organization who will be responsible for overseeing the enterprise data management process.
02
Define and document the data governance framework, including policies, procedures, and standards for managing and maintaining data across the organization.
03
Assess the current state of data management within the organization to identify areas for improvement and set goals for enhancing data quality and integrity.
04
Implement data management tools and technologies to help automate and streamline data processes, such as data integration, cleansing, and quality assurance.
05
Monitor and evaluate the effectiveness of the enterprise data management program on an ongoing basis, making adjustments and improvements as needed.

Who needs enterprise data management?

01
Large organizations with complex data environments and multiple business units that need to ensure consistency and accuracy of data across the enterprise.
02
Companies in regulated industries, such as healthcare and finance, that must comply with data privacy and security regulations and standards.
03
Businesses looking to improve decision-making processes and drive value from data by having a more accurate and complete view of their operations and customers.
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Enterprise data management (EDM) is the process of managing an organization's data across all systems and applications in a consistent and efficient manner.
All organizations that handle significant amounts of data are required to implement enterprise data management.
Enterprise data management is typically filled out by designated data management teams within an organization following established data management procedures and guidelines.
The purpose of enterprise data management is to ensure that data is accurate, accessible, secure, and compliant with regulations.
Enterprise data management typically includes information on data sources, data formats, data usage, data storage, data quality, and data security measures.
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