Data Governance: A Practical Guide

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