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P / 1
Information Management Training
Dubai, October 16th – 26th 2016
V E R S I O N 1 . 3
info@dmadvisors.co.uk
P / 2
Total List of Training Courses Available
We offer a number of training courses for practitioners and management, and...
P / 3
Information
Managemen
t Foundation
(1 day)
Data Modelling
Foundation
(1 day)
Introductory Intermediate Advanced / De...
P / 4
Classes For Dubai
Introduction to Information Management – 3 day Introductory
course to familiarize attendees with t...
P / 5
Introduction to Information Management
Course Objectives: T o g i v e p a r t i c i p a n t s
a g o o d u n d e r s ...
P / 6
Data Quality Foundation & Practitioner
Course Description: Part of the series of Information Management “Foundation”...
P / 7
Data Governance Foundation & Practitioner
Course Description: Part of the series of Information Management “Foundati...
P / 8
Master & Reference Data Management Foundation &
Practitioner
Course Description: Part of the series of Information M...
Trainer Profile
P / 1 0
Christopher Bradley has spent 35 years in the
forefront of the Information Management field,
working for leading o...
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Information Management training courses in Dubai

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Dubai training classes covering:
An Introduction to Information Management,
Data Quality Management,
Master & Reference Data Management, and
Data Governance.
Based on DAMA DMBoK 2.0, 36 years practical experience and taught by author, award winner CDMP Fellow.

Published in: Data & Analytics
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Information Management training courses in Dubai

  1. 1. P / 1 Information Management Training Dubai, October 16th – 26th 2016 V E R S I O N 1 . 3 info@dmadvisors.co.uk
  2. 2. P / 2 Total List of Training Courses Available We offer a number of training courses for practitioners and management, and custom-built, training & awareness seminars can also be delivered. The following training courses are available: • Introduction to Information Management – 3 day introductory course familiarizing attendees with the core disciplines of Information Management and why it is critical for business today, to enable attendees to grasp the essential role and importance of each component and their interaction. • Information Management Fundamentals – 5 day intermediate course which covers every discipline of Information Management as defined in the DAMA Body of Knowledge (DMBoK) together with the forthcoming changes in DMBoK 2.0. • Data Modelling fundamentals – 3 day intermediate course introducing students to data modelling, its purpose, the different types of models and how to construct and read a data model. • Advanced Data Modeling – 3 day advanced course for students with data modelling experience to understand the human centric aspects of data modelling to enable them to build quality models that meet business needs. • IM Fundamentals & Practioner Courses– A series of 1 day (foundation) and 2 day (practitioner) classes to give practitioners a solid background in a specific Information Management topics. The 2 day practitioner workshops explore more detail on the implementation aspects of the particular Information Management discipline • Data Modelling Foundation (1 day only) • Data Governance Practitioner (2 day) • Master & Reference Data Practitioner (2 day) • Data Quality Management Practitioner (2 day) • Data Warehouse & Business Intelligence Practitioner • Data Integration Practitioner • Metadata management Practitioner (1 day) • Executive Workshops – ½ and 1 day executive workshop(s) designed to give non-technical managers a basic understanding of a various Information Management topics and their importance to the organisation. • CDMP Certification– 3 day workshop “exam cram” designed to help attendees pass the DAMA CDMP certification. Sitting the live examinations is included as part of the workshop. • Integrated Business Process, Data & Requirements Definition– 5 day intensive class to show students an integrated requirements discovery and definition approach covering business process, different types of requirements modelling, and the critical role of the conceptual data model. Courses being held in Dubai 16 – 26 October
  3. 3. P / 3 Information Managemen t Foundation (1 day) Data Modelling Foundation (1 day) Introductory Intermediate Advanced / Deep Dive Advanced Data Modelling (3 days) Integrated Business Process, Data Requirements and Discovery (5 days) DAMA-I CDMP Exam Cram & Certification (3 days) Level Introduction to Information Management (3 days) Courses in Dubai: October 16th – 26th 2016 Data Modelling Fundamentals (3 days) The “client Way” Information Management Mentoring Information Management Fundamentals (5 days) Data Quality Management Practitioner (2 day) Data Warehouse & Business Intelligence Implementation & Practice (2 day) Reference & Master Data Management Practitioner (2 day) Data Governance Implementation & Practitioner (2 day) Data Integration Implementation & Practice (1and 2 day) October 16-18 Dubai October 19-20 Dubai October 23-24 Dubai October 25-26 Dubai MetaData Management Implementation (1 day)
  4. 4. P / 4 Classes For Dubai Introduction to Information Management – 3 day Introductory course to familiarize attendees with the core disciplines of Information Management and why it is critical for business today. This class will enable attendees to grasp the essential role and importance of each Information component and the interaction between them. Data Quality Practitioner - 2 day Part of the series of Information Management “Foundation” and “Practitioner” series: A 2 day practitioner class covering the principles, processes and activities involved in creating a Data Quality function. The class explores further detail on how to get started with Data Quality & outlines the steps for achieving Data Quality success. Data Governance Practitioner - 2 day Part of the series of Information Management “Foundation” and ”Practitioner” series: The class covering the need for Data Governance, its outcome, typical organization structures for Data Governance, the roles responsibilities and activities involved in establishing successful Data Governance, and metrics for measuring progress of a Data Governance initiative. The 2 day class explores a Framework for and how to get started with Data Governance. Master & Reference Data Practitioner - 2 day Part of the series of Information Management “Foundation” and “Practitioner” series: A 2 day practitioner class covering the different MDM architectures, genres, applications and activities involved in running a successful Master Data Management initiative. The 2 day class explores how to get started with Reference & MDM and outlines a successful framework for achieving MDM success.
  5. 5. P / 5 Introduction to Information Management Course Objectives: T o g i v e p a r t i c i p a n t s a g o o d u n d e r s t a n d i n g o f t h e v i t a l i m p o r t a n c e a n d b e n e f i t s o f I n f o r m a t i o n M a n a g e m e n t , t h e p e r i l s o f g e t t i n g i t w r o n g , a n d t o c o v e r t h e m a j o r c o n c e p t s a n d t o p i c s o f t h e I n f o r m a t i o n d i s c i p l i n e . C o u r s e D e s c r i p t i o n : A 3 d a y i n t r o d u c t o r y c o u r s e f a m i l i a r i s i n g s t u d e n t s w i t h t h e m a i n t o p i c s o f I n f o r m a t i o n M a n a g e m e n t a n d w h y i t i s s o c r i t i c a l f o r o r g a n i s a t i o n s t o d a y . T a u g h t b y D A M A a w a r d w i n n e r , a u t h o r & C D M P ( F e l l o w ) t h i s p r o v i d e s a n i n t r o d u c t i o n t o t h e I n f o r m a t i o n M a n a g e m e n t t o p i c . Course Content: Overview of Information Management: What is Information Management, why it is critical for businesses and the implications of getting it wrong. A brief overview of the DAMA DMBoK, its intended purpose and audience of the DMBoK, and the complete set of Information Management disciplines. Data Governance: What is Data Governance & why Data Governance is at the heart of successful Information Management & approaches for starting with DG. Data Quality Management: The Dimensions of Data Quality, DQ metrics and measures, , technology considerations including typical capabilities and functionality of tools to support Data Quality management. Data Quality cycle and data remediation approaches. Master & Reference Data Management: What is Master Data & the differences between Reference & Master Data. Master Data Management toolset architectures & their suitability for different cases. Common benefits (and mistakes made) with Master Data Management. Data Warehousing & BI Management: The purpose and considerations for Data Warehousing & Business Intelligence (DW/BI). Types of BI, DW and Analytics. Data Modelling: The development, use and exploitation of data models, ranging from Enterprise, through Conceptual to Logical, Physical and Dimensional. The critical role of the Conceptual Data Model. Why Data Modelling is not just for RDBMS design. Data Architecture Management: Approaches, plans, considerations and guidelines for provision of Data Integration and access. Data Lifecycle Management: Proactive planning for the management of Data across its entire lifecycle from inception through, acquisition, provisioning, exploitation eventually to destruction. The differences you must understand between the Data Lifecycle and the SDLC. Data Security & Privacy: Identification of threats & the adoption of defences to prevent unauthorized access, use or loss of data and particularly abuse of personal data. Regulatory Compliance: The polices and assurance processes that the enterprise is required to meet & the data implications of these. Data Risk Management: Identification of risks (not just security) to data and its use, together with risk mitigation, controls and reporting. Data Management Tools & Repository: The categories of tools that can support aspect of Information Management. Data Integration & Interoperability: A new discipline introduced into DMBoK 2.0. Consideration of P2P, ETL, CDC, Hub & Spoke, Service-orientated Architecture (SOA), Data Virtualization and assessment of their suitability for the particular use cases. Metadata Management: The purpose & use of Metadata & provision of metadata repositories and means of providing business user access, lineage and glossaries.
  6. 6. P / 6 Data Quality Foundation & Practitioner Course Description: Part of the series of Information Management “Foundation” and “Practitioner” series: A 2 day practitioner class covering the principles, processes and activities involved in creating a Data Quality function. The 2 day class explores further detail on how to get started with Data Quality & outlines the steps for achieving Data Quality success. Data Quality Practitioner (2 day): • Examples of Data Quality issues and their implications: How could these have been avoided? • What is Data Quality vs Data Quality Management and why does it matter? • The DAMA Dimensions of Data Quality, plus alternative views on Data Quality Dimensions. • The relationship between DQ Dimensions, DQ Measures & Metrics and their applicability. • The benefits and impact of Data Quality. • A workable framework for establishing Data Quality in your organization. • The role and applicability of tools to support a Data Quality initiative. • A reference architecture model for Data Quality tools, common functions & capabilities, differences, what to look out for & a framework for selecting DQ tooling. • Types & applicability of Data Quality Reporting • The relationship between Data Quality and Data Governance & the other Information disciplines • Data Quality metrics & their relationship with Data Governance. • Starting and sustaining a Data Quality initiative: 7 steps for achieving Data Quality success, the activities & structures required, & foundation activities • The typical roles, responsibilities, organization structures and principles for successful Data Quality. • Now its started; how do you sustain Data Quality. Baking DQ into Business As Usual activities and making it real
  7. 7. P / 7 Data Governance Foundation & Practitioner Course Description: Part of the series of Information Management “Foundation” and ”Practitioner” series: The class covering the need for Data Governance, its outcome, typical organization structures for Data Governance, the roles responsibilities and activities involved in establishing successful Data Governance, and metrics for measuring progress of a Data Governance initiative. The 2 day class explores a Framework for and how to get started with Data Governance. Data Governance Practitioner (2 day): • Introduction to Data Governance: What is Data Governance & why it matters. • The relationship between Data Governance & the other Information disciplines • Data Governance & IT Governance; is there a difference and why it matters. • A pragmatic workable framework for Data Governance • How to make the case for Data Governance and the issues faced when Data Governance is not present. • Starting a Data Governance Program: Establishing Data Governance, program establishment and set up, developing the business case & foundation activities. • The typical roles, responsibilities, organization structures and principles for successful Data Governance. • Keeping it going: Now its started; how do you sustain Data Governance. Baking Data Governance into Business As Usual activities and making it real • The role of the Data Governance Office • Data Governance metrics and their relationship with Data Quality
  8. 8. P / 8 Master & Reference Data Management Foundation & Practitioner Course Description: Part of the series of Information Management “Foundation” and “Practitioner” series: A 2 day practitioner class covering the different MDM architectures, genres, applications and activities involved in running a successful Master Data Management initiative. The 2 day class explores how to get started with Reference & MDM and outlines a successful framework for achieving MDM success. Master & Reference Data Management Practitioner (2 day): • What is Master Data Management, what is the difference between Master and Reference Data and why it matters. • What are the different types of MDM Architectures. These vary from a full central hub, through hybrid to virtualised with many flavours and variants along the way. • The applicability of different MDM architectural styles to differing business problems and why identifying the correct architecture for your type and usage of Master Data is crucial. • An Reference Architecture Model for Master & Reference Data Management and exploration of the typical components and functions in the Reference Architecture. • How to identify & select the right tooling for your environment and Master Data business needs. • More MDM architecture considerations: Single domain and Multi domain MDM solutions, the advantages & disadvantages of each and how to determine what's most appropriate for you. • Implementation styles: Operational & Analytical MDM. The issues and implications associated with the different approaches and why getting this right impacts future MDM success. • How to build the case for a Master Data initiative. • A proven approach for identifying the Data Subject Areas aligned to Business initiatives to start on your MDM program. • How to create an incremental MDM implementation plan that wont break the bank.
  9. 9. Trainer Profile
  10. 10. P / 1 0 Christopher Bradley has spent 35 years in the forefront of the Information Management field, working for leading organisations in Information Management Strategy, Data Governance, Data Quality, Information Assurance, Master Data Management, Metadata Management, Data Warehouse and Business Intelligence. Studying Chemical Engineering at University Mr. Bradley’s post academic career started for the UK Ministry of Defence where he worked on several major Naval Database systems and on the development of the ICL Data Dictionary System (DDS). His career included Volvo as lead data base architect, Thorn EMI as Head of Data Management, Readers Digest Inc as European CIO, and Coopers and Lybrand (later PWC) where he established the International Data Management specialist practice. During this time he led many major international assignments including Data Management Strategies, Data Warehouse Implementations and establishment of data governance structures and the largest Data Management strategy ever undertaken in Europe. After PWC Chris created and ran a UK Consultancy practice specializing in Information Management and led many Information Management strategy assignments in the Financial Services, Oil and Gas and Life Sciences sectors. Chris works with International clients including Alinma Bank, American Express, ANZ, Bank of England, BP, Celgene, GSK, HSBC, SABB, Shell, TOTAL, Statoil, Saudi Aramco, Riyad Bank, and Emirates NBD. Most recently he has delivered an MDM review for a Global Pharmaceutical organization, a comprehensive appraisal of Information Management practices at an Oil & Gas super major, an Enterprise Information Management strategy for a Life Sciences organization, a Data Governance strategy for a Middle East Bank, and Information Management training for Retail, Oil & Gas and Financial services companies. Chris advises 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 Information Management and Data Governance to Executive management, to introduce data governance and new business processes for Information Management and to deliver training and mentoring. Chris is the first “Fellow” of DAMA CDMP, an author & examiner of the professional CDMP certification, President of DAMA UK, and in 2016 received the prestigious DAMA Lifetime award for exceptional services to Global Data Management. He is author of sections of DMBoK 2.0, author of “Data Modeling for the Business” together with several white papers and articles. He is an acknowledged thought leader in Information Strategy with considerable expertise in Enterprise Information Management, Information Strategy development, Data Governance, Master and Reference Data Management, Information Assurance, Information Exploitation, Metadata Management and Information Quality, and has successfully introduced information led business transformation programmes across multiple geographies. Christopher Bradley

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