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Know the basics of DAMA DG-1220 Certification
Data Governance Professionals (DGPs) are the masters of information management. They ensure that all data is managed, used, and stored appropriately, with the right security and privacy controls in place.
The Data Governance Professional (DGP) certification program is designed to provide industry professionals with the knowledge and skills required to effectively manage the governance of enterprise data. The program consists of three levels: DAMA Professional, DAMA Master, and DAMA Guru.
The DAMA Professional level focuses on providing foundational skills for managing enterprise data. It provides a foundation for understanding what data governance entails, how it is applied to various types of organizations, how it can be implemented successfully in your organization or business unit, and how it should be managed over time. The required coursework includes topics such as:
Data Management: How data is used within an organization; types of data; challenges related to managing data; managing structured vs unstructured data; managing information assets; metadata design principles; metadata management tools and techniques. DAMA DG-1220 exam dumps will update you prep.
Data Quality: The importance of good quality data; challenges related to poor quality data; cause-and-effect analysis methods for determining sources of poor quality data errors.
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For more information about the DAMA DG-1220 Exam visit the following reference link:
DAMA DG-1220 Exam Reference link
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DAMA DG-1220 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance Implementation & Operations | 20% | - Metrics and KPIs - Monitoring and reporting - Governance roadmap and maturity - Communication and training |
| Topic 2: Data Governance Concepts & Principles | 20% | - Ethics and compliance - Data as an asset - Governance drivers and objectives - Governance frameworks and models |
| Topic 3: Governance for Data Domains & Risk | 20% | - Governance for quality, metadata, security - Risk management and mitigation - Audit and assurance - Regulatory compliance (GDPR, CCPA, etc.) |
| Topic 4: Policies, Standards & Procedures | 20% | - Standards and guidelines - Data policies and rules - Issue management and escalation - Change management |
| Topic 5: Data Governance Organization & Roles | 20% | - Operating models - Data owner, data steward, data custodian - Governance council and steering committee - Decision rights and accountability |
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