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IRM UK | Information Management Fundamentals
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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 they are applied. ...this course highlights the key curriculum items for students wishing to take the Industry professional certification the DAMA Certified Data Management Professional(CDMP)

 Export to Your Calendar 3/30/2020 to 4/1/2020
When: 30 March - 1 April 2020
Monday - Wednesday
Where: etc.venues Marble Arch
Garfield House
86 Edgware Rd
London W2 2EA
United Kingdom
Presenter: Chris Bradley
Contact: +44 (0)20 8866 8366

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IRM UK 

Information Management Fundamentals


Use code AEA10 to receive 10% AEA member discount when registering!!

Register On-line:
30 March - 1 April 2020, London

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

Overview

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 they are applied.  Additionally, this course highlights the key curriculum items for students wishing to take the Industry professional certification the DAMA Certified Data Management Professional (CDMP).  At the end of day 3 of the course, students will optionally have the opportunity to take the CDMP examination.  Full details of the CDMP examinations, levels and costs are available at https://cdmp.info/.

This course 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.

This course is intended to provide delegates 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

Additionally this course provides a solid foundation for delegates wishing to consider proceeding to take the Industry professional DAMA CDMP certification.

Learning Objectives

This course provides delegates with the knowledge, methods and techniques required to analyse, mature and implement information management solutions within your organisation.  It affords a solid grounding in different disciplines of Data Management.

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

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

Level set understanding & terminology:

  • Learn about the need for and the 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 appreciate why they are important
  • Understand the difference between 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;
  • Understand the different facets (dimensions) of Data Quality and explore a workable Data Quality framework;
  • Discover the major considerations for successful Data Governance and how it can be introduced in bite-sized pieces;
  • 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 Data Management, DMBoK & overview of the CDMP certification:   

  • What is Data Management, the drivers and issues if it goes wrong.
  • What is the DMBoK, its intended purpose and audience of the DMBoK.
  • What are the disciplines of Data Management in the DMBoK
  • Overview of the DAMA CDMP professional certification, what are the levels and how can you progress from one level to the next.

Data Governance

  • What is Data Governance.
  • Why Data Governance is at the heart of successful Information Management.
  • A typical Data Governance reference model.
  • Data Governance roles & responsibilities.
  • Organisation structures & type of Operating models to support Data Governance.
  • Principles for Data Governance
  • The role of the Data Governance Office (DGO) & its relationship with the PMO.
  • How to get started with Data Governance.

Data Quality Management

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

Master & Reference Data Management

  • The differences between Reference & Master Data.
  • Identification and management of Master Data across the enterprise.
  • 4 generic Master Data Management architectures & their suitability in different cases.
  • The different genres of Master Data Management solutions & pitfalls to avoid
  • Different approaches for Master Data Management implementation
  • The essential relationship between Master Data Management , Data Quality, and Data Governance
  • The under looked but critical aspect of Reference Data Management

Data Warehousing & BI Management

  • What is a Data Warehouse & why are they used.
  • Provision of Business Intelligence (BI) to the enterprise and the way data consumed by BI solutions and the resulting reports are managed. Particularly important if the data is replicated into a Data Warehouse.
  • The major DW architectures (Inmon & Kimball)
  • Introduction to Dimensional Data Modelling
  • Overview of slowly changing dimensions and why they are required

Data Modelling

  • What are Data Models & why do we need them.
  • What are the different types of Data models, their use and how they interrelate
  • The development, and exploitation of data models, ranging from Enterprise, through Conceptual to Logical, Physical and Dimensional.
  • Data modelling & Big Data – why data modelling is NOT just about Relational Database design
  • The use of data models in Data Governance, and Data Quality Management.

Metadata Management

  • What is (and isn’t) Metadata
  • The provision of metadata repositories and the means of providing business user access and glossaries from these.
  • Different types of Metadata & their uses
  • Where is metadata found – the different sources of metadata
  • What metadata do we need to manage
  • Metadata & Business Glossaries. What’s the connection?

Data Integration & Interoperability

  • Data integration & Data interoperability – What’s the difference?
  • What are the business (and technology) issues that Data Integration is seeking to address?
  • The different styles of Data Integration & Interoperability, their applicability and implications.
  • The approaches, plans, considerations and guidelines for provision of Data Integration and access.
  • Consideration of Data integration & interoperability approaches including: P2P, ETL, ELT, CDC, Hub & Spoke, Services Orientated Architecture (SOA), Data Virtualisation, and an assessment of their suitability in different cases.

Data Architecture & Data Lifecycle Management

  • Types of Enterprise Architectures
  • Proactive planning for the management of Data across its entire lifecycle from inception through, acquisition, provisioning, exploitation eventually to destruction.
  • Considerations for Data across the value chain.
  • Differences between Data Life cycle & a Systems Development LifeCycle (SDLC).

Data Risk Management, Security, Privacy & Regulatory compliance

  • Identification of threats and the adoption of defences to prevent unauthorised 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.

Data Operations Management

  • Core roles & considerations for data operations
  • Obstacles to performance
  • Good Data Operations practices

Records & Content Management

  • Why document & records management is important
  • The records management lifecycle

OPTIONAL:  CDMP Sample Examination & Live Exam

  • Delegates wishing to take the 90-minute (+20 minutes where English is a second language) CDMP Data Management Fundamentals exam, upon payment of the $300 exam fee will have access to a sample exam to practice on before taking the live exam. The live exam will be taken on the final afternoon.

Who It's For

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

SPEAKER

CHRIS BRADLEY

Information Strategist, Data Management Advisors Ltd.


Christopher Bradley has spent 39 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 Information Strategist and a recognised thought leader.  He advises clients including, Alinma Bank, American Express, ANZ, British Gas, Bank of England, BP, Celgene, Cigna Insurance, EDP, Emirates NBD, Enterprise Oil, ExxonMobil, GSK, HSBC, NAB, National Grid, Riyad Bank, SABB, SAMA, Saudi NIC, Saudi Aramco, Shell, Statoil, and TOTAL. He is VP of Professional Development for DAMA-International, the inaugural Fellow of DAMA‑International, past president of DAMA UK.  He is a core author of the DMBoK 2.0 and author and examiner for professional certifications.  In 2016 Chris received the lifetime achievement award from DAMA International for exceptional services to furthering Data Management education and to the International Data Management community. Recently he has delivered a comprehensive appraisal of Information Management practices at an Oil and Gas super major, a Data strategy for an Energy Utility, and Information Management training for a Government Organisation. Chris guides Global organisations 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”, sits on several International Data Standards committees, teaches at several Master’s Degree University Classes Internationally.  He authored “Data Modelling for the Business”, is a primary author of DMBoK 2.0, a member of the Meta Data Professionals Organisation (MPO) and a holder at “Fellow” level of CDMP and examiner for several professional certifications.  Chris is an acknowledged thought leader in Data Governance, author of several books and papers including the acclaimed “Data is NOT the new oil”, and is an expert judge on the annual Data Governance best practice awards.

Register On-line:
30 March - 1 April 2020, London

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

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