virtual

This course covers the knowledge areas of DMBOK version 2. Includes summaries of each chapter, sample questions, hints and tips on passing the CDMP exams. 

A$1700 +gst

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CDMP Exam Cram

Increase your effectiveness in Data Management, Data Governance and Data Quality

Level 2

Course objectives

On completion of this course, you will be able to:

Benefits of this course

Gives you confidence to:

Who is this course for?

This course is for anyone who wishes to take the Data Management Fundamentals exam, CDMP exam at the Associate, Practitioner or Masters level.

If you are looking for a full overview of the DMBoK have a look at the Intensive Data Management Course.

Why the CDMP Exam Cram?

Having a CDMP certification helps you set yourself apart from the competition by holding an industry recognised certification which strengthens your skill set and to operate more efficiently”(DMBoK V2 P20)

Course content

The course contains three sections:

  • Data Management
  • Data Governance
  • Data Quality
data management

DATA Management

Data underpins every business decision and every single successful customer experience. Data and Information Management is one of the world’s newest disciplines. Creating, moving and using quality data and information is not an accident. It is data management.

The data management sessions cover the basic and foundational aspects of data management to provide understanding of data management.

It is targeted at anyone working in data management or is needing a broader overview or those working extensively with data management professionals.

These sessions teach:

Topics in these sessions include:

  • Data Management definition
  • Data Architecture
  • Data Modelling and Design
  • Data Storage and Operations
  • Data Security
  • Data Integration
  • Documents and Content
  • Reference and Master Data
  • Data Warehousing Business Intelligence
  • Meta-Data Management
  • Data Quality
  • Data Governance
data governance

DATA Governance

Your business has to ensure everyone is on the same page when it comes to setting and enforcing rules.

It is targeted at anyone working as a data steward or with data stewards implementing or trying to improve Data Governance.

These sessions teach:

  • the practical establishment of data governance
  • how to properly consider policy and strategy
  • how to hold practical meetings with realistic agendas

Topics in these sessions include:

  • Introduction to Data Governance
  • Your choice of operating models
  • Writing a data policy/ strategy
  • Managing glossaries, dictionaries and data models
  • Links to Data Management Knowledge areas
  • A menu of promotion options
data quality

DATA Quality

Data Quality is understood by DMBOK as the application of manufacturing principles to data.

The data quality sessions  provide a practical foundation in understanding data quality.
It is targeted at anyone working in data quality function, who wants to prepare for certification or needs to interact with Data Quality managers.

These sessions teach:

  • how quality is systemically manufactured, (and not just lucky!)
  • how to forward and reverse engineer data quality requirements
  • Practical case studies

Topics in these sessions include:

  • Learning to express what  we mean by “fit for purpose”
  • Data Quality Strategy and business cases answering “why do it?”
  • Common sources of data quality issues, how to find them and how to get to a root cause
  • Completing data quality requirements
  • Operations (monitoring and responding)
  • Sampling quality at key points in the value chain
  • Data quality tool requirements