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Certified Data Management Professional (CDMP) Overview, Levels & Exam Costs

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Certified Data Management Professional (CDMP)

Overview, Levels & Exam Costs

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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”

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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.

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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

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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

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DAMA-DMBOK Guide Audiences

Data management professionals

IT professional colleagues

Data stewards

Managers and executives

Knowledge workers

Consultants

Educators

Researchers

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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?

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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.

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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.

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Why do I need it?

“Certification, in itself, is not a goal, but Professionalism is.”Dr. Paul M. Pair, ICCP Fellow,

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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)

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CDMP Levels

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Comparing the Levels

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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

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Data Management Fundamentals (Associate Level) 100 questions 90 minutes 60% to pass

Taking the Exams: Associate

1 Exam - Data Management Fundamentals (Associate Level)

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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

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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

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Substitution Exams

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Adjacent Knowledge AreaCertificate Recognition

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Recertification

›Three-year recertification cycle (CPD requirements)

›DAMA membership

›Contribution to Data Management community

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Recertification –Continuous Professional Development

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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.

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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

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Contact Information

April Reeve [email protected]

@Datagrrl on Twitter

Book - “Managing Data in Motion – Data Integration Best Practice Techniques and Technologies”

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