Overview

Part of the Data Ed Week Europe

 

This workshop is intended to provide delegates with a comprehensive understanding of what is needed to run a successful Master Data Management (MDM) Programme.  The workshop focuses on business and technical aspects of MDM and emphasises how the business and IT can work together to attain the full benefits of MDM.  The workshop begins by level setting on the concepts of Master Data, how MDM has evolved as a discipline, and what business benefits MDM offers.  Following this, details are presented of the components of an MDM Programme and how to set them up successfully.  In particular, the need for governance within an MDM Programme, particularly for decision-making, is explained.

The technical aspects of MDM are dealt with in a top-down manner, beginning with how MDM fits into an enterprise-level architecture, and drilling down to the architecture within an MDM hub, and finally to the data design and standardisation level.  The technical aspects go beyond technological considerations and also include semantics and reference data, which are both of critical importance for success of an MDM Programme.

Specialised needs of MDM are also considered.  Data integration within an MDM hub is a primary consideration, as is how it is linked to the ways in which Master Data can be produced by knowledge workers in the enterprise.  Data quality is also an extremely critical success factor for MDM, and techniques for it are presented.  The whole concept of how Data Privacy, in its widest sense, is applied to MDM is also examined.  This includes not only Personal Information, but also data purchased from Data Vendors with contractual restrictions.  The way in which MDM drives analytics is also explained, along with considerations that need to be implemented in any MDM Programme.

All public courses are available as in-house training. Contact us for more information.

Learning Objectives

At the end of this workshop, delegates will understand the following:

  • The end-to-end structure of an MDM Programme
  • How to align business and IT to ensure success in an MDM Programme
  • How to drive adoption of MDM to gain business value
  • What the governance needs of an MDM Programme are and how to address them
  • What the major technical options are for MDM Hubs and their pro’s and con’s
  • How MDM architectures can be fitted into overall enterprise architectures
  • Why data integration is so important in MDM and how it is done
  • How to analyze MDM tools and what is needed to successfully implement these tools
  • How to deal with Personal Information, confidential information, and data sourced from data vendors in MDM
  • How to ensure Master Data is of adequate quality
  • How to approach knowledge management for MDM

Course Outline

Introduction to MDM

  • What Master Data is, and what Master Data Management (MDM) is
  • The benefits MDM provides for the enterprise
  • How MDM evolved and where it is today
  • The common types of Master Data Entities and how MDM is specialized for them

The Components of an MDM Programme

  • The benefits of a coordinated MDM Programme vs. standalone projects
  • The typical sequence of an MDM project
  • Who does what in an MDM Programme and MDM project
  • People and organizational structures in MDM Programmes

Getting Ready for MDM – Governance, Decision Making and Accountabilities

  • Why decision making needs to be formalized in an MDM Programme
  • Example of accountabilities needed in an MDM Programme
  • The importance of Master Data Entity domain knowledge vs technical knowledge
  • Governance requirements and organization for an MDM Programme

Aligning Business with the MDM Programme

  • Fitting MDM into the business value chain
  • Fitting Business Processes and MDM Together
  • How to gain adoption for MDM
  • Measuring business value of MDM

MDM Technical Architecture

  • Understanding MDM Hub Patterns
  • How to fit MDM into an enterprise-wide Data Architecture
  • Understanding production vs. distribution of Master Data
  • Understanding the layered architecture of an MDM Hub

Data Models and Designs for MDM

  • How to manage the semantics needed for MDM Programmes
  • Understanding Adaptive vs. Fixed Data Models
  • Need for Logical Data Models in an MDM Programme
  • Role of Reference Data in MDM Programmes

Data Integration in MDM

  • Description of data integration
  • Trust and Survivorship in MDM
  • Capturing and governing Trust and Survivorship business rules
  • Understanding merge and unmerge processes in MDM

Selection of MDM Tools

  • Multi-domain vs. single domain MDM tools
  • Mega-vendors vs. Best of Breed in MDM
  • Approach to an MDM tool selection exercise
  • Thoughts on MDM tool implementation and post-implementation support

Data Privacy and MDM

  • Brief overview of the scope of Data Privacy and relevance to MDM
  • How to Protect Personal Information in an MDM Programme
  • How to Protect Purchased Data in an MDM Programme
  • How to implement processes for Permitted Use of Master Data

Data Acquisition and MDM

  • Brief overview of the scope of Data Acquisition and relevance to MDM
  • Workflow for Data Acquisition into an MDM Hub
  • Data Acquisition outside of the MDM Hub
  • Data Vendor Management for Master Data

Data Quality and MDM

  • The role of Data Quality in an MDM Programme
  • Implementation of Continuous Production Data Quality Management for MDM
  • Implementation of Data Issue Management for MDM
  • How to Govern Data Quality Business Rules for MDM

Analytics and MDM

  • The role of an MDM Hub as a Conformed Dimension server
  • Knowledge Management of MDM for Analytics
  • Extending the MDM Hub to include Analytics outputs
  • Governance implications of using Master Data in development and production phases of Analytics

Who It's For

This workshop is intended for the following roles:

  • Enterprise Knowledge Workers
  • Data-centric Business Operations Staff
  • Information Managers
  • Information Architects
  • Data Architects
  • Enterprise Architects
  • MDM Managers
  • Data Governance Managers
  • Business Analysts
  • Executives
  • Business Technology Partners

Speaker

Malcolm Chisholm

Chief Innovation Officer

First San Francisco Partners

Malcolm Chisholm is a recognised expert in data governance and data management with more than 25 years of industry experience. He was the recipient of the prestigious 2011 DAMA International Professional Achievement Award and is also a leading author and speaker at conferences in Europe and North America. Malcolm’s published works include Definitions in Information Management (how to create and manage high-quality definitions for data management), How to Build a Business Rules Engine (how to use metadata engineering to build any kind of business rules engine) and Managing Reference Data in Enterprise Databases (the only book on Reference Data Management).

Malcolm’s background includes specialisations in master data management, data governance, data stewardship, master data management, reference data management, Data-centric Development Lifecycle, Semantics (including terminology, definitions, taxonomy and ontology), business rules management, data architecture, data modelling, data integration, big data environments, data quality (detection and data issue management), data change management, data lineage, metadata tools, data legal/privacy/compliance, data monetisation, data vendor management  and end user computing governance.

Malcolm can be followed on Twitter via @MDChisholm

Workshop: MDM Essentials

Workshop: Successful Reference Data Governance and Management

Fees

  • 2 days
  • £1,295
  • £1,295 + VAT (£259) = £1,554
Group Booking Discounts
Delegates
2-3 10% discount
4-5 20% discount
6+ 25% discount

Venue

  • etc.venues Monument 8 Eastcheap London EC3M 1AE UK

Accommodation

IRM UK in association with JP Events have arranged special discounted hotel rates at the venue above and at other hotels nearby.
Email: Mina@jpetem.com
Tel: +44(0)84 5680 1138
Fax: +44(0)84 5680 1139
http://www.jpevents-bookings.co.uk/IRM/jp-conflist.asp

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