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 one of the common causes of frustration, friction, delays (and failure) of business transformation. It is s critical that your data governance and information management policies and practices are up-to-date and aligned to on-going modernisation.
This course will take a simple approach to the complex and ever-present problem of data governance. It will equip you with the skills to get on the front-foot by modernising your principles embedding practices and changing behaviours. Developed and delivered by pioneers of data governance and information management in the region, it focuses on intuitive practices that are easy to adopt and embed for lasting change.
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 the data management and data governance principles
Assess the data governance maturity of your organisation and strategies to close the gaps
Learning the importance of the roles and responsibilities from data users to data stewards and data custodians
Gain insights that will enable you to optimise data governance for business transformation
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
Understanding Data Governance
- Demystifying data governance: What it is and why it matters
- Understanding the importance of data governance in government organisations
- What is the benchmark of ‘good’ data governance
- The long-term implications and immediate impact of inadequate governance
- Delving into the why of data governance and applying this to support a business case
- The practical and measurable impact of good governance
- Translating the consequences of bad governance to business leaders
- Unpacking your data and the data lifecycle: What data needs to be governed
- Identifying the stages of the data lifecycle
- Understanding the different approaches to governance at each stage
- How does this apply to your own organisations
Data Governance Components
- A roadmap to effective meta data management and making it the norm
- How to best define metadata and are we on the same page?
- Best practice on metadata capture and representation
- Addressing the operational challenges of capturing metadata and strategies to overcome them
- Framing your data to drive better organisational outcomes
- Understanding data lineage: Map your data journey through your IT systems
- Best practices to create data catalogues, data libraries, and other usable assets
- How to improve data usability to deliver better outcomes for your organisation; from data sharing, privacy, and digital transformation for greater user outcomes
- Improving data access, security, and quality for modernisation
- Discussing key criteria and factors that impact data quality
- Best practices to improve data quality across the organisation
- Addressing the data security and access
Data Ownership and Products
- Who should own data governance: Roles and organisational structures
- Who is best placed to own data governance: Discussing the pros and cons
- Understanding different structures
- How to Identify the best approach for your organisation
- Data as a product and data in data lakes: Optimising your data for your organisation
- How to optimise the utility and usability of your data
- What are data-as-a-product and its role in government
- Setting up and optimising your data lakes for your organisation
Implementing Data Governance
- Assessing your data governance maturity
- Understanding the data maturity scale; key factors and influences
- How to measure data governance maturity in your own organisation
- Discussing strategies to close the gaps
- Creating and implementing a data governance roadmap
- Closing the gaps and optimising your strengths
- Building a business case
- Embedding effective practices and changing behaviours
Registration
Early Bird 2
$995
per person + GST
*Ends on 24th March 2023
Final Price
$1195
per person + GST
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