Training Overview
Adopting a Proactive Approach that Enables Modernisation and User-Centric Initiatives
80% of organisations seeking to scale digital business will fail because they do not take a modern approach to data governance.
Data Governance is increasingly recognised as a critical building block for efficient data flow and data quality. As a result it is seen as a driver and enabler of data-driven innovation and continues to be the #1 priority and investment area for CDAOs.
As data volumes multiply, data sharing and integration grow and organisation structure becomes more complex, data governance becomes even more challenging. Data professionals in the public sector are becoming increasingly aware that there is no ‘one-size fits-all’ approach to data governance. While most public sector organisations are faced with similar challenges, every organisation needs to carefully customise their data governance model.
PSN’s Advancing Data Governance in Public Sector course has been developed to help public sector agencies bring their policies and frameworks up to speed for 2024 and beyond. Based on a tried and tested formula it will provide data governance specialists who are further along in maturity with key insights.
Who Should Attend
This course is designed for heads, directors, managers, leads, and analysts, in charge of transforming all three levels of government, including:
Data Governance
Information Management
Data Management
Learning Outcomes
Understanding data management and data governance principles
Assess the different approaches to data governance based on the data lifecycle
Set up a Community of Practrice and Plan for Continuous Improvement
Modernise data governance for 2024 and beyond
Meet Your Facilitators
Nigel Schmalkuche
Managing Director Principal Consultant
Strategic Architects
Nigel Schmalkuche is a business and ICT professional with 25 years’ experience in guiding government and private organisations through digital business transformation particularly in the fields of housing and public works, police and emergency services, elections, health, utilities and financial institutions.
Nigel has a keen talent for connecting the dots between technology, capability and strategy. And he has applied this to develop and embed enterprise architecture practices; shaped strategic roadmaps, upskilled key stakeholders; designed solutions to navigate complex challenges to drive transformational change.
He is a TOGAF 9.2 Certified Enterprise Architect with 17 years’ experience in implementing enterprise architecture to achieve business outcomes.
Key Sessions
Embedding a Culture of Data Governance: Policy and Framework
- A Refresher on Data Governance 101
- Reiterating the need for Data Governance in a public sector context
- Unpacking Data Governance: Framework and Structure
- A Chief Data Officer’s Data Governance priorities
- Understanding the Key Elements of a ‘Good’ Data Governance Policy
- What is the purpose and benefit of a Data Governance Policy
- Definitions across the Data and Analytics spectrum
- Assessing the applicability and principles
- Establishing a Data Governance Framework and Policy
- How to embed data governance: Mindsets and behaviours
- Unpacking data stewardship and lines of responsibility
- Communication to optimising take-up
Setting up a Data Governance Model
- Managing Data at Different Stages of Its Lifecycle
- Uncovering the lifecycle of your data
- Defining accountability at each stage
- Guidelines for making data-related decisions at each stage
- Developing a Fit-for-Purpose Data Governance Model
- Crafting a data governance policy
- Establishing an understanding of the key pillars of data governance: People, Process, Information, Technology and Data
- Key considerations: Creating a roadmap and data governance model to close the gap
Data Governance as an Enabler of Modernisation
- Evaluating Data Governance Maturity
- Defining maturity levels and the determining characteristics
- Assessing your current maturity level vs. future state maturity level
- Discussing strategies and tools to build data governance maturity
- A Capability-based Approach to Improving Data Governance Maturity
- An overview of Business Architecture
- Understanding Capability modelling
- Applying these principles to improve data governance maturity
Data Governance BAU and Continuous Improvement
- KPIs and Monitoring Effectiveness of your Policies and Strategy
- Defining the KPIs of Data Governance
- Establishing what good looks like
- Capturing, monitoring and visualising metrics
- Embedding Data Governance and Setting up for Continuous Improvement
- Creating a community of practice
- Stakeholder engagement and change management
- Tailoring a data governance initiative brief
- A Capability-based Approach to Improving Data Governance Maturity
- An overview of Business Architecture
- Understanding Capability modelling
- Applying these principles to improve data governance maturity