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CDMP with Chris Bradley

JOIN US

CERTIFIED DATA MANAGEMENT PROFESSIONALS
WITH CHRISTOPHER BRADLEY
POWERED BY PASSIO CONSULTING

FOR THE FIRST TIME IN PORTUGAL

ABOUT THIS CERTIFICATION

18-22.SEPTEMBER.2023 | 09H30 - 17H30 |In-person event in Lisbon (Sete Rios)
This class is held in English, and the course materials are too.

Overview

This course addresses ALL the Information Management disciplines as defined in the International Industry standard, DAMA body of knowledge (DMBoK) v2. Taught by an industry-recognised DAMA DMBoK (2.0) author and CDMP(Fellow) this course provides a solid foundation of the different information disciplines across the complete Information Management spectrum.

 

By attending the course, delegates will get a firm grounding of the core Information Management concepts and illustrate their practical application with real examples of how Information Architecture is applied. Additionally, this course provides a solid foundation for any students wishing to take the Industry professional certification the DAMA Certified Data Management Professional (CDMP).

 

The course is designed and taught by the VP of Professional Development for DAMA International, author of “Data Modelling for the Business” an industry-recognised DAMA DMBoK (2.0) author, DAMA CDMP(Fellow), Past President of DAMA UK, author & examiner of the professional CDMP certification and recipient of the DAMA Lifetime Achievement Award for Data Management Excellence.

 

The course describes the different levels of the CDMP certification and helps students consolidate their existing Information Management experience by reinforcing Data management topics contained in the CDMP syllabus at the different levels. This 5-day course addresses all the Information Management disciplines as defined in the DAMA body of knowledge (DMBoK v2.0) including the “new” discipline of “Data Integration” introduced in DMBoK 2. Students will cover the whole syllabus of the DM Fundamentals examination covering all the Data Management Disciplines (Knowledge Areas) and practice for the CDMP Examination with sample questions from each area. 

 

Learning Objectives

This course provides students with the knowledge, methods and techniques required to analyse, mature and implement information management solutions within your organisation. It affords a solid grounding in all the different disciplines of Data Management. In addition, if students wish to take the CDMP certification they will gain familiarity with the CDMP examination format, types of questions and the most appropriate way of answering them. They will understand and revise the major syllabus points. Attempt practice questions in preparation for sitting examinations.

 

Areas covered include:
•Data Governance
•Data Quality Management
•Master and Reference Data Management
•Business Intelligence & Data Warehousing
•The essential role of Data modelling

Data Lifecycle Management
•Metadata Management
•Risk, Security & Regulatory Compliance

•Data Operations
•Content & Records management
•Data Integration & Interoperability

 

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AGENDA

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Day 1

Introduction to Data Management, DMBoK & pathways through the CDMP certification:

• What is Data Management, the drivers and issues if it goes wrong?
• What is the
DMBoK, its intended purpose and the audience of the DMBoK?
• What are the disciplines of Data Management in the DMBoK?
• Changes in DMBoK 2., a
nd the relationship of the DMBoK with other frameworks (TOGAF /COBIT etc.).
• Overview of available professional certifications.
• DAMA CDMP professional certification overview & CDMP exam coverage by DMBoK 2 section.
• What is the CDMP, what are the levels, what are the DAMA specialist certifications and how can you progress from one level to the next?

Data Management Process
• What is Data Management?
• The Information value chain
• The Information life cycle vs the Systems Development life cycle
• Drivers for data management
• Components of data
 management


 

Data Quality Management
• The different facets of Data Quality,  
and why Validity is often confused with Quality
• The Dimensions of Data Quality.
• The policies, procedures, metrics, technology and resources for ensuring Data Quality is measured and ultimately continually improved.
• A Data Quality reference model & how to apply it.
• Root cause analysis & the “5-whys” approach
• Capabilities & functionality of tools to support Data Quality management.
• Data Quality measures – guidelines for their creation & monitoring.
• Common myths & pitfalls about Data Quality management & how to avoid them.

Chris Bradley

INSTRUCTOR

CHRISTOPHER BRADLEY

Information Management Strategist

 

PhD  CDMP Fellow  BCS Fellow

VP Development (DAMA-International)

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Chris has 40 years of Information Management experience & is a leading Independent Information Management strategy advisor.
 

 

In the Information Management field, Chris works with prominent organizations including HSBC, Celgene, GSK, Pfizer, Icon, Quintiles, Total, Barclays, ANZ, GSK, Shell, BP, Statoil, Riyad Bank, SABB & Aramco.  He addresses challenges faced by large organisations in the areas of Data Governance, Master Data Management, Information Management Strategy, Data Quality, Metadata Management and Business Intelligence.

 


He is VP of Professional Development for DAMA International, past President of DAMA UK, and a primary DMBOK 2 author in April 2016 he became the inaugural CDMP Fellow and received the DAMA lifetime professional achievement award.  He is an author & examiner for CDMP, a Fellow of the Chartered Institute of Management Consulting (now IC), a Fellow of the BCS, a member of several ISO Data Management Committees (8000, 27001, 55000), a member of the MPO, and SME Director of the DM Board. 

 


A recognised thought leader in Information Management Chris is the author of numerous papers, and books, including sections of DMBoK 2.0, a columnist,  a frequent contributor to industry publications and a member of several IM standards authorities. 

 


He leads an expert channel on the influential BeyeNETWORK, is a sought-after speaker at major international conferences, and is the co-author of “Data Modelling For The Business – A Handbook for Aligning the Business with IT using high-level data models”.  He also blogs frequently on Information Management (and motorsport).

OVERVIEW
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This 5-day course addresses all the Information Management disciplines as defined in the DAMA body of knowledge (DMBoK v2.0) including the “new” discipline of “Data Integration” introduced in DMBoK 2. Students will cover the whole syllabus of the DM Fundamentals examination covering all the Data Management Disciplines (Knowledge Areas) and practice for the CDMP Examination with sample questions from each area.

Finally, students can sit the live CDMP examinations on the final day of this course and could leave having achieved this internationally recognized professional certification.

PRICE
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3 750€ + VAT

*Special conditions

for more than one registration

TARGET
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Practitioners who seek to gain an overview of the different disciplines of Information Management and those seeking Professional recognition and certification for Information Management including:


•Business Intelligence & Data Warehouse developers & architects
• Data Modellers
• Developers
• Data Architects
• Data Analysts
• Enterprise Architects
• Solution Architects
• Application Architects
• Information Architects
• Business Analysts
• Database Administrators
• Project / Programme Managers
• IT Consultants
• Data Governance Managers
• Data Quality Managers
• Information Quality Practitioners

LEVELS OF ACCOMPLISHMENT

There are 4 levels of accomplishment for the CDMP certification
Associate, Practitioner, Master, and Fellow.


Associate Level:
Recommended 2+ years of relevant Data Professional work experience
1 examination (Data Management Fundamentals). The pass mark is 60%


Practitioner Level:
Recommended 3-5 years of relevant Data Professional work experience
3 examinations (Data Management Fundamentals + 2 specialist).
Pass mark for all 3 exams 70%


Master Level:
Required 10+ years of relevant Data Professional work experience
3 examinations (Data Management Fundamentals + 2 specialist).
Pass mark for all 3 exams 80%
Written case study reviewed by CDMP Fellow


Fellow:
By appointment only
Completion of all previous levels,
Recognised exceptional works & contributions in the Data Management field
Published author
25+ years’ experience

KNOW MORE ABOUT IT!

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