3-Day Workshop

Information Management Fundamentals

Register On-line:
28-30 March 2017, London
3-5 October 2017, London

PDF File IRM UK Public Courses 2017


Click here for an in-house quote request or for further information regarding in-house training.


This workshop addresses all of the Information Management disciplines as defined in the DAMA body of knowledge (DMBoK).  Taught by an industry recognized DAMA DMBoK(2.0) author and CDMP(Master) this course provides a solid foundation across all of the 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 students wishing to consider proceeding to take the Industry professional DAMA CDMP certification.

Learning Objectives

This workshop is intended to provide you with the knowledge, methods and techniques required to analyse, mature and implement information management solutions within your organisation. Areas covered include:

  • Data Lifecycle Management
  • Data Integration
  • Data Governance
  • Risk, Security & Regulatory compliance
  • Data Quality Management
  • Business Intelligence & Data Warehousing
  • The essential role of Data modelling
  • Master and Reference Data Management
  • Metadata management

At the end of the course, delegates would have gained the following:

Level set understanding & terminology:

  • Learn about the need for and application of Information Management disciplines for different categories of challenges
  • Explore an Information Management framework and understand how it aligns with other architecture frameworks
  • Explore concepts such as lifecycle management, normalisation, dimensional modelling and data virtualisation and why they are important
  • Understand the critical roles of Master Data Management and Data Governance and how to effectively apply them

Pragmatic Learning

  • Learn the different MDM architectures, their suitability for different needs and how best to implement Master Data Management approaches
  • Develop a set of usable techniques that can be applied to a range of information management challenges
  • Learn the best practices for managing Enterprise Information needs
  • Through practical examples, learn how to apply techniques in information architecture planning

Course Outline

Introduction to the DMBoK

  • What is the DMBoK, its intended purpose and audience. 
  • Changes in DMBoK 2.0, and the relationship of the DMBoK with other frameworks (TOGAF / COBIT etc.). 
  • DAMA CDMP professional certification overview & CDMP exam coverage by DMBoK section.

Data Governance

  • Why Data Governance is at the heart of successful Information Management. 
  • A typical DG reference model
  • DG roles & responsibilities, the role of the Data Governance Office (DGO) & its relationship with the PMO. 
  • How to get started with Data Governance.

Data Quality Management

  • The Dimensions of Data Quality, policies, procedures, metrics, technology and resources for ensuring Data Quality is measured and ultimately continually improved. 
  • A DQ reference model & how to apply it. 
  • Capabilities & functionality of tools to support Data Quality management.

Master & Reference Data Management

  • The differences between Reference & Master Data.
  • Identification and management of Master Data across the enterprise. 
  • 4 generic MDM architectures & their suitability in different cases. 
  • MDM maturity assessment to consider business procedures for MDM and the provision and appropriateness of MDM solutions per major data subject area. 
  • How to incrementally implement MDM to align with business priorities.

Data Warehousing & BI Management

  • Provision of Business Intelligence (BI) to the enterprise and the manner in which data consumed by BI solutions and the resulting reports are managed.  Particularly important if the data is replicated into a Data Warehouse. 
  • Types of BI, DW and Analytics.

Data Modelling & Metadata Management

  • Provision of metadata repositories and the means of providing business user access and glossaries from these. 
  • The development, use 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 Integration & Architecture Management

  • What are the business (and technology) issues that Data Integration is seeking to address, the different styles of Data Integration, their applicability and implications. 
  • The approaches, plans, considerations and guidelines for provision of Data Integration and access. 
  • Consideration of P2P, ETL, CDC, Hub & Spoke, Service-orientated Architecture (SOA), Data Virtualization and assessment of their suitability for the particular use cases.

Data Lifecycle Management

  • Proactive planning for the management of Data across its entire lifecycle from inception through, acquisition, provisioning, exploitation eventually to destruction.  This IM discipline and its maturity assessment determine how well this is planned for and accomplished.

Data Risk Management, Security & Privacy

  • Identification of threats and the adoption of defences to prevent unauthorized access, use or loss of data and particularly abuse of personal data. 
  • Exploration of threat categories, defence mechanisms & approaches, and implications of security & privacy breaches.
  • Identification of risks (not just security) to data and its use, together with risk mitigation, controls and reporting.

Regulatory Compliance

  • The polices and assurance processes that the enterprise is required to meet. 
  • Adapting to the changing legal and regulatory requirements related to information and data. 
  • Assessing the approach to regulatory compliance & understanding the sanctions of non-compliance.

Data Management Tools & Repository

  • Examination of the categories of tools supporting the IM disciplines. 
  • How to select the appropriate toolset. 
  • Discussion of an example policy for use of specific technology to ensure consistency and interoperability across the enterprise.


Practitioners involved in Information Management, Data Governance, Master Data Management and Data Quality initiatives including: 

  • Information Managers
  • Information Architects
  • Data Architects
  • Enterprise Architects
  • MDM Managers
  • Data Governance Managers
  • Data Quality Managers
  • Information Quality Practitioners
  • Business Analysts
  • Executives
  • Technology Leaders
  • Business Technology Partners

Speaker's Biography

Chris Bradley

Christopher Bradley has spent 35 years in the forefront of the Information Management field, working for International organisations in Information Management Strategy, Data Governance, Data Quality, Information Assurance, Master Data Management, Metadata Management, Data Warehouse and Business Intelligence.  

Chris is an independent information strategist & recognised thought leader.  He advises clients including, Alinma Bank, American Express, ANZ, Bank of England, BP, Celgene, Cigna Insurance, Enterprise Oil, Emirates NBD, GSK, HSBC, NAB, Riyad Bank, Saudi Aramco, Shell, Statoil, and TOTAL.

Recently he has delivered a comprehensive appraisal of Information Management practices at an Oil & Gas super major, Data Governance strategy for a Life Sciences Company, and Information Management training for a Government Organisation.

Chris guides Global organizations on Information Strategy, Data Governance, Information Management best practice and how organisations can genuinely manage Information as a critical corporate asset.  Frequently he is engaged to evangelise the Information Management and Data Governance message to Executive management, introduce data governance and new business processes for Information Management and to deliver training and mentoring. 

Chris is Director of the E&P standards committee “DMBoard”, is an officer of DAMA International, an author of DMBoK 2.0, a member of the Meta Data Professionals Organisation (MPO) and a holder at “master” level and examiner for the DAMA CDMP professional certification.

Chris is an acknowledged thought leader in Data Governance, author of several papers and books, and an expert judge on the annual Data Governance best practice awards. 

Seminar Fee
£1,595 + VAT (£319) = £1,914

Register On-line:
28-30 March 2017, London
3-5 October 2017, London

Group Booking Discount

  • 2-3 Delegates - 10%
  • 4-5 Delegates - 20%
  • 6+ Delegates - 25%

Multiple Seminar Booking Discount

Attend more than one of our seminars and you will be entitled to the following discounts:

  • 2nd course 10%
  • 3rd course 15%
  • 4th course 20%
  • 5th+ course 25%

Please note, only one discount can be applied at any one time.

28-30 March 2017
VENUE: etc.venues Marble Arch  
Garfield House,
86 Edgware Rd,
London W2 2EA
Phone: +44 (0) 20 7793 4200

3-5 October 2017
VENUE: etc.venues Marble Arch  
Garfield House,
86 Edgware Rd,
London W2 2EA
Phone: +44 (0) 20 7793 4200

London Accommodation: IRM UK in association with JP Events Ltd has arranged special discounted rates at all venues and at other hotels nearby the venue. Please visit the JP Events website for further information.

E-mail: info@jpetem.com Tel +44 (0)84 5680 1138 Fax +44 (0)84 5680 1139.

In-House Training
If you require a quote for running this course in-house, please contact us with the following details:

  • Subject matter and/or speaker required
  • Estimated number of delegates
  • Location (town, country)
  • Number of days required (if different from the public course)
  • Preferred date

Please contact:
Jeanette Hall
E-mail: jeanette.hall@irmuk.co.uk
Telephone: +44 (0)20 8866 8366
Fax: +44 (0) 2036 277202

Speaker: Chris Bradley
Chris Bradley

Enterprise Data Management Series
Ten Steps to Data Quality
Incorporating Big Data, Hadoop and NoSQL in BI Systems and Data Warehouses
Managing Your Information Asset
Predictive & Advanced Analytics
Building an Enterprise Data Lake & Data Refinery for Enterprise Data as a Service
Business-Oriented Data Modelling
Advanced Data Modelling: Communication, Consistency, and Complexity
The Logical Data Warehouse - Design, Architecture, and Technology
Information Management Fundamentals
Data Modelling Fundamentals
Data Modelling Masterclass

Multiple Seminar Booking Discount
Attend more than one of our seminars and you will be entitled to the following discounts:

  • 2nd course 10%
  • 3rd course 15%
  • 4th course 20%
  • 5th+ course 25%

Group Booking Discount

  • 2-3 Delegates - 10%
  • 4-5 Delegates - 20%
  • 6+ Delegates - 25%

We regret that this offer cannot be used in conjunction with the Multiple Seminar Discount or any other discount.


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Click here to purchase past conference documentation.