Role of EA in Data Governance


Data Governance is rapidly becoming a ‘must have’ for any organisation wanting to manage its data, improve its quality, and control its security, access and uses. An average organisation’s data is doubling every 15 months. Propelled by Big Data, Cloud Computing and other innovations, this rapid increase in volumes is compounded by the increasing speed and complexity with which data is created and stored. Organisations are also under increasing customer, regulatory and legal pressures to get data right. Data Governance is seen as a keystone in any solution to address these challenges.

Many organisations have already recognised the potential value of Data Governance and have started governance initiatives. Though some have succeeded, many are faltering or have failed. Attending this 2-day seminar & workshop will ensure that you set off on the right path to successful and sustainable Data Governance.

Key Topics include:

• What is Data Governance?
• Why is it increasingly a ‘must have’ for organisations
• Building the internal case for Data Governance
• How and where do you start to introduce Data Governance
• What are the main components of a successful Data Governance initiative
• How can you revitalise or recover a faltering Data Governance programme
• Creating the Data Governance roadmap
• What benefits can you expect and how you measure them
• Real life Data Governance success stories
• Your role in Data Governance — how to prepare yourself to win

Note that this course will help you whether you are new to Data Governance or already working as part of an existing Data Governance team or programme.

Learning Objectives

  • Understand what Data Governance is, and what it isn’t
  • Assess the readiness of your organisation for Data Governance
  • Be able to align a Data Governance proposal and initiative with your key organisational & departmental drivers
  • Make the internal business case for investment in Data Governance
  • Be able to identify and apply the six necessary components of a Data Governance framework
  • Create a realistic plan of action for Data Governance
  • Apply these practices to a fictional, but highly realistic organisation via a hands on case study
  • Learn from best practices in other organisations who are already implementing Data Governance

Course Outline

Scene Setting & Introductions
• Scope & objectives of the seminar
• Seminar agenda & attendee expectations
• Introduction to the case study

Data Governance Context & Drivers
• The overall data landscape
• Some recent data disasters & horrors
• Current & future data challenges
• The overall industry impact of poor data
• A call for action

Data Governance — An Industry Assessment
• Data Governance — definitions and focus
• How successful has Data Governance been?
• Why Data Governance can fail
• Key components of success — breaking down the barriers

The Components of Successful Data Governance
• The DAMA DMBOK wheel — the centrality of Data Governance
• The Data Governance Framework explained:
◦ Vision & Strategy
◦ Organisation & People
◦ Processes & Workflows
◦ Data Management & Measures
◦ Culture & Communications
◦ Tools & Technology
• Applying the Data Governance Framework

Establishing a Starting Point — Data Governance Readiness
• Plotting the journey — Data Governance maturity
• Implications of the maturity assessment
• Case study exercise 1 — context and maturity assessment

Building the Data Governance Strategy
• Vision & Strategy
◦ Creating a clear Data Governance vision
◦ Understanding business drivers
◦ Identifying key data challenges
◦ Producing a Motivation Model
◦ Building a business case for Data Governance
◦ Case study exercise 2 — Creating a Motivation Model
• Organisation & People
◦ Organising for Data Governance — industry model structures
◦ The pros & cons of each model
◦ Required teams, roles & skills
◦ Deciding on the right model for any specific organisation
◦ Case study exercise 3 — Designing a Data Governance organisation
• Processes & Workflows
◦ Data Governance & business process design & operation
◦ Analysing business processes — Lean approaches
◦ Designing Data Governance processes & workflows
◦ Data Governance processes explained
◦ Case study exercise 4 — Business process analysis & Data Governance processes and workflows
• Data Management & Measures
◦ The importance of measurement in Data Governance
◦ What to measure & how to measure it — the importance of data definition
◦ Establishing baselines and improvement targets
◦ Data Improvement Projects
◦ Tracking and sustaining the benefits
◦ Case study exercise 5 — Data definitions and Data Improvement Projects
• Culture & Communications
◦ The importance of selling Data Governance
◦ Cultural change & Data Governance
◦ Key skills & competencies required
◦ Communications strategies and plans
◦ Case study exercise 6 — Creating a Communications Plan
• Tools & Technology
◦ The role of IT in Data Governance
◦ Potentially useful tools in Data Governance
◦ Making the case for new tools & technologies
◦ Case study exercise 7 — Tool selection & procurement business case

Creating the Data Governance Roadmap
• Bringing it all together — the Data Governance Roadmap
• Hints & tips for developing Roadmaps
• Implementing the Roadmap: a three phase approach
• Case study exercise 7 — Creating a Data Governance roadmap & selling it

Data Governance in Reality
• A summary of real life Data Governance success stories:
◦ Telecommunications
◦ Utilities
◦ Banking & Finance
◦ Retail
◦ Professional Certification Organisation
• Lessons learned from these case studies

Summary & Conclusions
• Recap of tutorial objectives
• Summary key learning points
• Potential next steps and call for action

Who It’s For

Individuals and teams who are playing, or would like to play, an active role in the implementation of a Data Governance initiative. It will also be of interest to anyone working in a relevant business or IT role who wants to know more about Data Governance concepts and practices.

Typical roles who will benefit from this tutorial / workshop include:

  • Heads of Data Governance & their teams
    • Chief Data Officers & their teams
    • Data Stewards
    • Data Owners
    • Information Strategists & Architects
    • Business Analysts
    • Data Quality Specialists
    • Master Data Management Practitioners

Courtesy : IRM UK | Data Governance: A Practical Guide AEA Event on 21–22 Nov 2019


Principal Information Management Consultant EMEA
Global Data Strategy

Nigel Turner is Principal Information Management Consultant for EMEA at Global Data Strategy Ltd. and Vice-Chair of the Data Management Association of the UK. Nigel has worked in Information Management for over 25 years, both as an in-house implementer of Information Management solutions at British Telecommunications plc and subsequently as an external consultant to more than 150 clients, including the Environment Agency, British Gas, HSBC, Intel US and others.