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Course Outline
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INTRODUCTION TO DAMA
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- What is data management and why is it critical.
- What are the different disciplines of data management?
- DAMA & the DMBoK 2.0, and its relationship with other frameworks (TOGAF/COBIT…).
- Overview of available professional certifications focusing on DAMA CDMP.
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DATA GOVERNANCE
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- What is Data Governance and why it is important. A typical data governance reference model.
- The main data governance roles: owner, steward, custodian.
- The role of the Data Governance Office (DGO) and its relationship with the PMO.
- What is the difference between Data Governance and IT Governance, and does it matter?
- Overview of the Data Management implications of a selection of other regulations.
- The key steps that organizations can take to prepare for compliance with current and future regulations.
- How to get started with data governance and sustaining and building data governance.
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DATA LIFECYCLE MANAGEMENT
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- Proactive planning for the management of data across its lifecycle.
- Differences between data life cycle and a Systems Development Lifecycle (SDLC).
- Data governance touch points throughout the data lifecycle.
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METADATA MANAGEMENT
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- What is metadata and why it is important?
- Types of metadata, their uses and their sources.
- Metadata and business glossaries. What is the connection?
- How metadata provides the essential glue for data governance and metadata standards.
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DG MINI PROJECT
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- Starting the Data Governance Program, what you must get in place early. How to produce a realistic business case for DG linked to business objectives?
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DOCUMENT RECORDS & CONTENT MANAGEMENT
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- Why document and records management is important.
- Taxonomy vs. ontology… what’s the difference.
- Legal and regulatory considerations impacting records and content management.
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DATA MODELING BASICS
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- Types of data models, their use and how they interrelate.
- The development and exploitation of data models, ranging from enterprise, through conceptual to logical, physical and dimensional.
- Maturity assessment to consider the way in which models are utilized in the enterprise and their integration in the System Development Life Cycle (SDLC).
- Data modeling and big data.
- Why data modeling plays a critical part in data governance and BP case study.
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DATA QUALITY MANAGEMENT
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- The different facets of data quality, and why validity is often confused with quality.
- The policies, procedures, metrics, technology and resources for ensuring data quality.
- A data quality reference model and how to apply it.
- Why data quality management and data governance are interconnected and case studies.
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DATA OPERATIONS MANAGEMENT
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- Core roles and considerations for data operations.
- Good data operations practices.
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DATA RISK & SECURITY
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- Identification of threats and the adoption of defenses to prevent unauthorized access, use or loss of data and particularly abuse of personal data.
- Identification of risks (not just security) to data and its use.
- Data management considerations for different regulations, e.g. GDPR, BCBS239.
- The role of data governance in data security management.
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MASTER & REFERENCE DATA MANAGEMENT
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- The differences between reference and master data.
- Identification and management of master data across the enterprise.
- 4 generic MDM architectures and their suitability in different cases.
- How to incrementally implement MDM to align with business priorities.
- Statoil (Equinor) case study.
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DATA WAREHOUSING, BUSINESS INTELLIGENCE & DATA ANALYTICS
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- What is data warehousing and business intelligence and why do we need it.
- The major data warehouse architectures (Inmon & Kimball).
- Introduction to dimensional data modeling.
- Why master data management fails without adequate data governance.
- Data analytics and machine learning and data visualization.
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DATA INTEGRATION & INTEROPERABILITY
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- What are the business (and technology) issues that data integration is seeking to address?
- Data integration and data interoperability - What's the difference?
- Different styles of data integration and interoperability, their applicability and implications.
- The approaches and guidelines for provision of data integration and access.
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Requirements
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35 Hours
Testimonials (7)
The training covered all the areas that were required. Very Insightful.
Carol - Vodacom
Course - Certified Data Management Professional (CDMP)
Material was covered according to the weight of the exam's marks. gave a better understanding of this course. Quizes helped a lot
Saika - Vodacom
Course - Certified Data Management Professional (CDMP)
Quizzes to test our knowledge and white board work kept us engaged.
Paula Dunsby - Vodacom
Course - Certified Data Management Professional (CDMP)
The instructor was very simple and clear on the point of the course
Mohamed - Dubai Government Human Resources Department - DGHR
Course - Certified Data Management Professional (CDMP)
Practical knowledge of the trainer
Faisal - StarLink
Course - Certified Data Management Professional (CDMP)
The Trainer was knowledgeable and had a very good experience along with a very good way of teaching. thank you Gaurave for that training i am really enjoyed.
Walid
Course - Certified Data Management Professional (CDMP)
practical application of the concepts & knowledge sharing amongst participants and OfCourse by the Instructor as well.