Data Governance & Management Melbourne 2020
Endorsed by the Data Governance Association
25 - 27 February 2020 | Melbourne Parkview Hotel, Melbourne, VIC
Conference Day Two: Thursday, 27th February 2020
9:00 am - 9:30 am
Coffee And Registration
9:30 am - 9:40 am
Conference Opening
Anthony Hollis -
Managing Director,
Data Governance Australia
9:40 am - 10:10 am
Case Study: MinterEllison – Expanding on Trust in Data Assets to Strengthen Internal and External Stakeholder Collaboration and Engagement
Shaheen Saud -
Head of Data & Analytics,
MinterEllison
Organizations are challenged with ensuring the quality, availability and consistency of their data assets amidst the increased scale and complexity of data and regulatory obligations. In this session, Shaheen will discuss how MinterEllison plans to expand and scale their data management practices through cloud data analytics, investing in machine learning and developing a roadmap that will harness future data governance plans.
- Redefining and identifying accountabilities and data governance frameworks in order to promote responsibility through the data life cycle.
- Understanding what tools lend themselves to cohesive and consistent data management practices across different teams and organizational levels.
- Leveraging investments in solutions by establishing roadmaps that set up enterprise data analytics and dedicated pools of resources, which allow data driven growth.
10:10 am - 10:40 am
Data Governance: Reward vs Risk
Anthony Hollis -
Managing Director,
Data Governance Australia
Data Governance Australia is one of Australia's largest Data Governance associations, made up of many data governance professionals who are striving for innovation within the industry. Anthony Hollis, Managing Director of DGA, will discuss the risks and rewards involved with navigating the complexities of building data governance frameworks, embedding them into your organisation and enhancing data governance and management practices.
- Understanding how to successfully balance mitigating data-related risk with optimising data-fuelled business productivity and competitiveness, WHILE building trust and improved product and service delivery.
- Navigating increasingly complex local and international regulatory regimes and building ethical data governance frameworks.
- Managing AI, privacy, consent, trust and data literacy, and ensuring the entire organisation is involved in the journey.
10:40 am - 11:10 am
Morning Tea
11:10 am - 11:50 am
Case Study: ANZ – Establishing Executive Data Quality Metrics to Drive Focus and Improve Overall Data Quality.
Paul Davies -
Head of Enterprise Data Integrity,
ANZ
With over 5 million customers and total assets worth close to $250 billion, ANZ has a large data inflow and a key contributor to the banks success is the quality of their data to drive performance and productivity. Paul Davies will discuss how he led the data governance teams approach to measuring data quality, managing data quality issues and focusing data quality remediation effort through the establishment of executive data quality metrics.
- Examining processes and methodology for building and maintaining data quality measures that support efforts to improve data quality.
- Designing a metrics led governance approach to data quality that aligns executive focus and remediation effort to enterprise or Divisional strategic priorities.
- Increasing the relevance of data quality governance within a large, federated organisation
11:50 am - 12:30 pm
Panel Discussion: Exploring How Organizations Are Overcoming and Tackling the Challenges of Implementing and Developing Data Governance Framework.
Niall Stevenson -
Head of Data Risk,
Macquarie Group
Vasyl Nair - CEO, Mine Super
Shane Riddle - Chief Information Officer, Heart Foundation
Jonathon Chaitow - Head of Architecture, Transurban
1:00 pm - 2:00 pm
Lunch Break
2:00 pm - 2:40 pm
Case Study: AustralianSuper – Creating a Data Literate Environment that Ensures that Data Governance and Management is Best Practiced Across the Company.
Bobby Kaushik -
Senior Manager of Data Governance,
AustralianSuper
AustralianSuper manages more than $165 billion of members’ retirement savings on behalf of 2.3 million members, from close to 280,000 businesses. AustralianSuper is the nation’s largest superannuation fund, which requires complex and clearly defined data governance practices that ensure the best experience for its members. Bhuvnesh Kaushik will discuss how he has tailored AustralianSuper’s data governance practices to support growth and how he has created a data literate environment that prioritises best practice, in regards to data governance.
- Examining what steps must happen to ensure that executives buy-in to a data literate environment that enhances best data governance practices.
- Engaging with resources and tools, which accommodate and support a cultural transformation towards a company that prioritises data management and utilises data as an asset.
- Understanding how to, executively, produce data insights that will give customers the best experience.
- Analyzing AustralianSuper’s lessons learnt, in regards to developing a governance framework that supports a strategy towards creating
2:40 pm - 3:20 pm
Case Study: Allianz Worldwide Partners Australia: Creating a Data Governance Framework that Influences a Shift in Organisational Culture Surrounding Data Management.
Shane Downey -
National Manager of Data Governance,
Allianz Worldwide Partners Australia
According to Shane Downey from Allianz Worldwide, Data Governance is all about leveraging the data that an organisation has to protect it as a business asset and drive value. Shane will discuss how he created and implemented a Data Governance Framework that instigated a cultural shift amongst the organisation and influenced the quality of security and management of their client/customer database.
- Innovating a Data Governance framework that is applied across all departments within the organisation.
- Collaborating with Data Custodians to create a framework that can drive value and enhance transparency between the organisation and the customers.
- Influencing organisation maturity by developing a sustainable framework that can adapt and predict future customer data, whilst securing and managing existing data.
- Utilising a new framework to establish internal culture change within the organisation, in relations governing data securely and ethically.
