Framework for Enterprise Data Management Components PPT

This PPT slide, part of the 30-slide Enterprise Data Management and Governance PowerPoint presentation, outlines 6 critical components essential for effective enterprise data management and governance. Each component is categorized under 3 main headings: Process, People, and Technology, providing a structured approach to understanding the framework.

Under Data Governance, the focus is on establishing policies and standards that guide data ownership and workflow. Key elements include data policies, data standards, and the approval process, which ensure that data is managed consistently and responsibly.

Data Structure emphasizes the organization of data through taxonomies and logical data models. It addresses the importance of business process flows and design standards, which help in creating a coherent data architecture that aligns with business needs.

The Data Architecture section deals with the technical aspects of data management. It highlights the importance of data sizing, storage, and movement architecture. This component also covers data retention and deletion policies, ensuring that data is not only stored efficiently, but also managed throughout its lifecycle.

Master Data & Metadata focuses on defining data elements and maintaining master data. This includes the management of reference data and metadata, which are crucial for ensuring data accuracy and consistency across the organization.

Data Quality is concerned with establishing rules and policies that govern data integrity. It includes data cleansing standards and compliance rules, which are vital for maintaining high-quality data that meets regulatory requirements.

Lastly, Data Security addresses compliance with security policies and laws at various levels. This component ensures that data is protected against unauthorized access and breaches, incorporating measures like security audits and access rights management.

Overall, this slide serves as a comprehensive overview of the fundamental components necessary for robust data governance and management, making it a valuable reference for organizations aiming to enhance their data strategies.

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Data Governance Master Data Management Data Management Governance Compliance