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Certified Data Management Professional (CDMP)
Overview, Levels & Exam Costs
April Reeve Thirty years doing data oriented stuff Data Management disciplines –
Data Integration, Data Governance, Data Modeling, Data Quality, Business Intelligence, Master Data Management, Data Conversion, Data Warehousing , Enterprise Content Management, Big Data Management
Currently Director of Enterprise Information Architecture and Strategy at Celgene Corporation, a Fortune 100 Bio-Pharma
Certifications – Certified Data Management Professional (DAMA CDMP) Certified Data Governance and Stewardship Professional (ICCP DGSP) Certified Business Intelligence Professional (TDWI CBIP) Certified in Enterprise Governance of IT (ISACA CEGIT) Certified Information Systems Auditor (ISACA CISA)
Masters degree in Financial Management (predictive modeling, risk management, derivatives, corporate finance)
Book “Managing Data in Motion – Data Integration Best Practice Techniques and Technologies”
DAMA NYC
We would love to hear about the projects you are doing or the subjects that interest you.
Please let me know if you are interested in presenting to a meeting of DAMA NYC. I would be happy to help you develop a presentation and provide support.
Data Management Functions
DMBoK V110 “Functions”100 + Activities
DATAARCHITECTUREMANAGEMENT
DATAARCHITECTUREMANAGEMENT
DATADEVELOPMENT
DATADEVELOPMENT
DATABASEOPERATIONSMANAGEMENT
DATABASEOPERATIONSMANAGEMENT
DATA SECURITYMANAGEMENTDATA SECURITYMANAGEMENT
REFERENCE & MASTER DATAMANAGEMENT
REFERENCE & MASTER DATAMANAGEMENT
DATA QUALITYMANAGEMENTDATA QUALITYMANAGEMENT
META DATAMANAGEMENT
META DATAMANAGEMENT
DOCUMENT & CONTENTMANAGEMENT
DOCUMENT & CONTENTMANAGEMENT
DATA WAREHOUSE
& BUSINESS INTELLIGENCE MANAGEMENT
DATA WAREHOUSE
& BUSINESS INTELLIGENCE MANAGEMENT
DATA GOVERNANCE
DATA GOVERNANCE
DATAARCHITECTUREMANAGEMENT
DATADEVELOPMENT
DATABASEOPERATIONSMANAGEMENT
DATA SECURITYMANAGEMENT
REFERENCE & MASTER DATAMANAGEMENT
DATA QUALITYMANAGEMENT
META DATAMANAGEMENT
DOCUMENT & CONTENTMANAGEMENT
DATA WAREHOUSE
& BUSINESS INTELLIGENCE MANAGEMENT
DATA GOVERNANCE
› Enterprise Data Modelling
› Value Chain Analysis› Related Data
Architecture
› External Codes› Internal Codes› Customer Data› Product Data› Dimension Management
› Acquisition› Recovery› Tuning› Retention› Purging
› Standards› Classifications› Administration› Authentication› Auditing
› Analysis› Data modelling› Database Design› Implementation
› Strategy› Organisation & Roles› Policies & Standards› Valuation› Issues
› Architecture› Implementation› Training & Support› Monitoring & Tuning
› Acquisition & Storage› Backup & Recovery› Content
Management› Retrieval› Retention
› Architecture› Integration› Control› Delivery
› Specification› Analysis› Measurement› Improvement
DAMA-DMBOK Guide Goals
To develop, build consensus and foster adoption for a generally accepted view of data management.
To provide standard definitions for data management functions, roles, deliverables and other common terminology.
To identify “guiding principles”.
To introduce widely adopted practices, methods and techniques, without references to products and vendors.
To identify common organisational and cultural issues.
To guide readers to additional resources.
Used with kind permission of DAMA-I
DAMA-DMBOK Guide Audiences
Data management professionals
IT professional colleagues
Data stewards
Managers and executives
Knowledge workers
Consultants
Educators
Researchers
DAMA-DMBOK Guide Uses Inform a diverse audience about
Data Management
Build consensus across the Data Management community
Help all participants understand their responsibilities
Point readers to additional sources of knowledge
Help Data Management professionals prepare for Certified Data Management Professional (CDMP) exams
Assist organisations in their enterprise
data strategy
Basis for effectiveness & maturity assessments
Guide implementation & process improvement efforts
Guide development of higher education curriculum
Suggest academic research topics
Help in hiring of Information Management staff & consultantsDoes your consultant have CDMPcertification?
What is CDMP?
CDMP stands for “Certified Data Management Professional”
It is the only non-proprietary, international and widely recognized data management certification.
The certification program was jointly constructed by DAMA International (DAMA) with members who are industry recognised Information Management professionals.
DAMA owns the CDMP certification.
Why take CDMP?
1. CDMP is the ONLY professional certification in Information Management which is INTERNATIONAL, and NON-PROPRIETARY (some certifications are just technology focused (Certified DBA), and others are National (Australia/ British Computer Society)
2. The CDMP syllabus covers ALL of the disciplines of Data Management, not simply focusing on technology aspects
Data Governance
Data Modelling
Data Quality Management
Data Lifecycle Management
Data Architecture
Data Integration
Risk, Security & Regulatory compliance
Business Intelligence & Data Warehousing
Master and Reference Data Management
Metadata management
Document & Content Management
Data operations management
3. Thus the CDMP syllabus provides a solid grounding in the wider aspect of ALL data management, not simply attainment of a Professional certification
4. There are increasing levels of CDMP attainment which progressively test (and hence teach) practical application vs. theory
5. The CDMP levels progressively emphasise real life uses
6. Academic institutions are incorporating aspects of the DMBoK & CDMP into their Information Management education
7. Some employers are starting to add the requirement for a recognised industry certification as a desirable factor in recruitment advertising & our research shows this is increasing
8. Professional certification is rewarding & motivational for staff
9. Demonstrate credibility in your field, especially important for consultants.
Why do I need it?
“Certification, in itself, is not a goal, but Professionalism is.”Dr. Paul M. Pair, ICCP Fellow,
How can I get CDMP? Fill out an application online:
www.dama.org
Pass the Data Management Core Exam
Depending on CDMP level desired, pass two Specialty Exams, from: Data Quality Management
Data Governance & Stewardship Data Modelling
Data Warehousing *
Business Intelligence & Analytics * Data Operations & Security *
Data & Information Quality *
Write a case study & have interview with a CDMP Fellow (for Master level)
Meet the Experience & Education qualifications
Sign the DAMA Code of Ethics
Pay the exam fee(s)
CDMP Levels
Comparing the Levels
CDMP Exam PricesItem Member Non-Member
Associate (DM Fundamentals) $220 $290*
Associate to Practitioner/ Master Data Management (DM) Fundamentals Exam conversion**
$150 $220*
Practitioner/ Master DM Advanced Exam $250 $330*
Practitioner/ Master Elective Exams (per exam) $250 N/A
Master Case Study Elective Exam *** $280 N/A
Exam re-take (Master & Practitioner levels only) $230 $300*
* Non-members receive 1 year’s Central Membership of DAMAI with their first DM exam** Associate exam focuses on theory and concepts based on the DMBOK (V1 currently)** Practitioner and Master focuses on applying/ implementing the theory and concepts** Marks gained at Associate Level do not convert to similar marks at Practitioner Level. Associate CDMP’s must write DM
Advanced to progress to the next level*** Individuals aiming for Master must provide a case study related to one of their two elective topics as well as pass all 3 exams at
80% and above
An admin fee of $50 will be levied per exam for cancellations or date changesTransfers of exams/ membership from one individual to another are not permitted
ALL EXAMS ARE TAKEN ONLINE ONLYONLINE OR CHAPTER-LED PROCTORING REQUIRES FULL PAYMENT UP FRONTPlease watch out at various international DAMA I endorsed conferences for exam proctoring and preparation workshops
Data Management Fundamentals (Associate Level) 100 questions 90 minutes 60% to pass
Taking the Exams: Associate
1 Exam - Data Management Fundamentals (Associate Level)
Data Management Fundamentals(Practitioner Level) 110 questions 90 minutes 70% to pass
Taking the Exams: Practitioner
Data Management Fundamentals (Practitioner Level) + 2 Advanced Elective exams
Elective Exams (each) 100 questions 90 minutes 70% to pass
Data Management Fundamentals(Practitioner Level) 110 questions 90 minutes 80% to pass
Taking the Exams: Master
Data Management Fundamentals (Practitioner Level) + 2 Advanced Elective exams
Elective Exams (each) 100 questions 90 minutes 80% to pass
Substitution Exams
Adjacent Knowledge AreaCertificate Recognition
Recertification
›Three-year recertification cycle (CPD requirements)
›DAMA membership
›Contribution to Data Management community
Recertification –Continuous Professional Development
Recertification –CDMP Exam Questions
Re-certification CDMP Exam Question Contribution
One of the criteria for re-certification is contributing to the CDMP Exam question bank
CDMP Master: A minimum of 3 exam questions/ exam topic (you have written exams on)/ annum (equates to 9 questions per year)
CDMP Practitioner: A minimum of 3 exam questions/ exam topic (you have written exam on)/ 3 year recertification cycle (equates to 9 questions per cycle)
CDMP Associate: This is not mandatory, but is a great way to progress to CDMP Practitioner
Don't wait to the last minute to log question contributions as all questions must go through a formal review process to be accepted into the CDMP question bank and we may want some revision on them before they can be approved.
DMBoK Webinars
DMBoK Overview 26th Feb 2015
Master & Ref Data 30th March
Data Modelling 2nd June
Data Quality 18th August
DW & BI 19th September
Data Risk & Security: October 20th
Data Lifecycle Management: December 11th
Metadata Management: November 17th
Data Governance: January 12th 2016
Data Operations: February 26th 2016
Document & Content Management March 15th 2016
NEW FOR DMBoK 2Data Integration & Interoperability April 12th 2016
https://goo.gl/MdQlgn
Contact Information
April Reeve [email protected]
@Datagrrl on Twitter
Book - “Managing Data in Motion – Data Integration Best Practice Techniques and Technologies”