Information Management Fundamentals – Live Streaming only
Speaker: Chris Bradley
12-14 April 2021
LIVE STREAMING - £1,295 +VAT (£259) = £1,554
All public courses are available as in-house training. Contact us for more information.
Overview
Available via Live Streaming only
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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. 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/.
All public courses are available as in-house training. Contact us for more information.
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 CDMP, past president of DAMA UK. He is an author of the DMBoK 2 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 & to the International Data Management community. 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”, 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 papers and books, and an expert judge on the annual Data Governance best practice awards.
DG & MDM Conference Europe 2020 Conference Half day Workshops:
Practical Reference and Master Data Management
Information Management Fundamentals
IRM UK Public Courses via Live Streaming:
Information Management Fundamentals
Practical Steps for Developing a Business Aligned Data Strategy
Testimonials
“Very interesting real life examples shared which brought it all to life. Excellent for all levels of experience. Very engaging presentation style.”
Analyst, Baringa Partners
“Chris Bradley has a lot of background experience and can relate the information to different organisations and countries”
Maryam H. Aldhewalia
Research Specialist, Saudi Food & Drug Authority (SFDA)
“Great breath and depth! Great breath of knowledge and experience. Will recommend to my colleagues. The course has exceeded my expectations”
Nadia Batool
Royal London Group, Data Governance Consultant
“Good overview – covered a lot of ground in just 3 days. Very knowledgeable with lots of real world examples”
Stuart Kay
Master Reference Data Team Leader , Natural Resources Wales
“Chris was very knowledgeable and great at answering questions.”
Kate Watson
Data Governance Manager, Telefonica UK
Fees
- 3 days
- £1,295
- LIVE STREAMING - £1,295 +VAT (£259) = £1,554
Group Booking Discounts
Delegates | |
---|---|
2-3 | 10% discount |
4-5 | 20% discount |
6 + | 25% discount |
Cancellation Policy:
Cancellations must be received in writing at least two weeks before the commencement of the seminar and will be subject to a 10% administration fee. It is regretted that cancellations received within two weeks of the seminar date will be liable for the full seminar fee. Substitutions can be made at any time.
Cancellation Liability:
In the unlikely event of cancellation of the seminar for any reason, IRM UK’s liability is limited to the return of the registration fee only. It may be necessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers and date of the seminar.
Venue
- Tel:
- http://