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.
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
Speaker
Nigel Turner
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.
Fees
2 Days
£1295
£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. IRM UK will not reimburse delegates for any travel or hotel cancellation fees or penalties. It may be necessary, for reasons beyond the control of IRM UK, to change the content, timings, speakers, date and venue of the seminar.
London Accommodation: IRM UK in association with JP Events Ltd has arranged special discounted rates at all venues and at other hotels nearby the venue. Please visit the JP Events website for further information.
Data Governance: A Practical Guide 
