CDAO AUCKLAND

Angela Zhao, Platform Owner – Data Governance and Quality, Genesis

This 15-minute audience engagement session is open to the entire room. The Chair will share their opinion on the topic and then pass the ‘mic’ to the audience. Delegates will have the opportunity to voice out their insights, challenges and learnings through an open-mic set up. This will set the stage for future questions and encourage our speakers to address the delegates’ queries as we go through the day.

Data Literacy is often described as the ability to read, work with, analyse and communicate with data. So, how do organisations become Data Literate across their entire enterprise, irrespective of its size?

This session will level‐set attendees’ understanding of the criticality, components and characteristics of a Data Literacy programme. Whether planning an individual, group or enterprise learning journey, Anwar will suggest multiple perspectives that ought to be considered.

This session will

• Provide an outline of the critical components of a Data Literacy programme
• Present the decision criteria for a balance of internal and external content
• Propose an approach to assign key responsibilities e.g. content, platform, deployment etc.
• Offer tips & tricks for your programme journey

Speaker:

Anwar Mirza, Data Strategy & Governance, FedEx Express EU

Speaker:

Eric Yamashita, Data Management and Governance Specialist, dataxchange

Bryan Brook, Data Management and Governance Specialist, dataxchange

• Federated CoE approach globally
• Managing significant growth
• How to achieve real success increasing data democratisation across the organisation
• Building trust in data
• Ensuring your governance and data literacy fundamentals are in place and appropriate for the audience

Speaker:

Mark Modricker, Head of Data Analytics, Fisher & Paykel Healthcare

Penelope Maxwell, Data Analytics Lead, Fisher & Paykel Healthcare

Initiatives across enterprises large and small alike are often hampered by poor data quality and ungrounded expectations on analytics (processing and analysing data for business advantage). Additionally, a changing legal and regulatory landscape is driving demand for effective data & analytics governance. Yet, governing Data & Analytics continues to take over our time and drain our resources. At its core, successful governance requires making our people do something they are not currently doing and making a business change its ways. Using case studies from my consulting experience across multiple organisations, this talk centers around changing the way people and organisations behave to successfully govern Data & Analytics.

Speaker:

Bryan Ng, Chief Data & Analytics Officer, New Zealand Trade & Enterprise

• Deciding the critical data elements of each business
• A risk-based approach to data quality and lineage
• Private information and how to manage it
• Ensuring Data risk is minimised from a strategic and operational point of view
• Managing issues of stewardship and custodianship
• Where is our data and what data do we have? Why is there a habit of always collecting?
• Life cycle management and data disposal
• How the data asset is required, acquired and used
• Using awareness and education to encourage business units to take more ownership of their data
• Bringing the data under the appropriate technical controls

Moderator:

Bryan Ng, Chief Data & Analytics Officer, New Zealand Trade & Enterprise

Panellists:

Sharon Abbott, Head of Data Governance, NZ, ANZ  

Angela Zhao, Platform Owner - Data Governance and Quality, Genesis 

Kevin Sweeney, Principal Advisor, Stats NZ

Exploring the creation of a modern data and analytics hub, this case study will dive into the organisational design, operating model and architecture that enables business teams to self-serve whilst supporting engineering innovation and governance.

This panel will discuss the many shared elements of transformations.

It will also look at:

• Ensuring your governance and data literacy fundamentals are in place and appropriate for the audience
• Maximising what data is available to your business units and how they can interpret it
• How to achieve real success increasing data literacy across the organisation
• How do you know you trust the data you have been given?

Moderator: 
Gladwin Mendez, Virtual CDAO, and Advisory Board Member, Corinium Global Intelligence

Panellists:
Nitya Shankar, Change Lead, Data Central, Westpac 

Ratneesh Suri, Head of Data Transformation, Genesis 

Brian Ferris, Chief Data, Analytics and Technology Officer, Loyalty New Zealand

There’s always better strategies and ideas to strengthen and better the quality of your data.

Panellist:

Chris Collins, Co-founder and Chair of trustees, Tango Kilo Mike, Data Governance Principal | Data and Analytics, Air New Zealand

Gladwin Mendez, Virtual CDAO, and Advisory Board Member, Corinium Global Intelligence

This insightful keynote will put Value and Business Objectives at the forefront of Data Strategy delivery. Anwar will describe how ‘Data assets’ are monetised and mobilised to deliver business critical outcomes by embedding the appropriate processes, controls and measures into standard business practices.

Having adaptable Data strategies are a business imperative and this session will inspire

a practical and pragmatic approach toward value delivery. This keynote will

• Put Data Strategy, Implementation Approach, Operating Methodology, Frameworks and Culture into context
• Provide tips and guidance towards making key Stakeholders & Leadership more Data Literate
• Explain how the Strategy Roadmap becomes the driver for prioritising Data Resources, Tooling and Initiatives
• Present a Data Governance Framework as the key enabler to Business Pain Points

Speaker:

Anwar Mirza, Data Strategy & Governance, FedEx Express EU

It's well understood that the business' demand for integrated usable data will continue to be more expansive, complex and need to be highly adaptable. It is equally understood that it is inevitable that in a week, a month and year, your organisation will have key data systems changes that will delay the accessibility to data delivery, reduce the accuracy of data or introduce duplication and distrust in the data used. Enter business frustration. It's also why CDO's, Heads of D&A and IT Data Platform teams are trying to accelerate their plans to modernise legacy systems and end user tools to capitalise on what the cloud and SaaS data management tools purport to offer.   

BUT, is this really fixing a fundamental problem between producers of data and ultimately the consumers of data to improve decisioning and business processes? Especially when the average lead time to create a new dataset takes 6-8 weeks and costs up to $200,000 per change. Data, like software systems and organisations themselves, constantly change, yet in many instances the design of data management and delivery doesn't seem to properly account for the fact that sources of data ,consumers of data and organisational processes also constantly change. Cloud compute and storage doesn't fix this problem. 

In this talk you will learn how a Data Fabric, through Data Virtualization fundamentally overcomes these issues to reduce the complexity, lead time, governance and accessibility of unifying data without the typical overheads of traditional data management approaches. In addition, you will learn how a Data Fabric through Data Virtualization unlocks much greater value from a Data Lake strategy, to reduce cost, time, effort and skills required to make better use of your Cloud and on premise systems.

Speaker:

Ben Henshall, Regional Vice President & General Manager - Australia & New Zealand, Denodo

• Getting to the top table
• Cultivating a high performance analytics team
• Priorities for Analytics Leaders
• Starting out as a new analytics leader

Speaker:

Kari Jones, GM Analytics & Insights, Woolworths

In the fast-paced data environment, there is always a new horizon and new ideas to learn and put to practice. Get ready for the next adventure in data!

Speaker:

Sonya Crosby, Chief Data Officer, Westpac New Zealand Limited

How can you democratise your data?  How can you manage data costs?  How do you protect against ransomware?  How do you get your data restored quickly?  What should you be considering to best prepare for AI and Deep Learning?   Join us as we address these questions and share a customer case study.

Speaker:

Howard Anthony Fyffe, Managing Director, VAST Data Australia Pty. LTD

Diego Nievas, Director of Product and Technology Innovation, Plan B LTD

This session will demonstrate how Stuff's core belief to "Follow No One" has influenced the building of an innovative data & insights strategy.  

Speaker:

Dina Hay, Chief Data and Insights Officer, Stuff

• How do you balance developing a strategic approach to data and analytics, with the need to remain flexible to adapt to the changing needs, priorities and goals of the wider organisation?
• How can you ensure that you are best positioned to successfully tackle future challenges and exploit upcoming opportunities?
• What are the true requirements for effective leadership in the future?
• How can you position data analytics as crucial for the long term, not just the immediate future?

Moderator: 

Tanveer Singh Bal, Director, Business Development, Tiger Analytics

Panellists:

Anna Tarasoff, General Manager Data, BNZ

Peter Gavin, GM, Data & Analytics, ANZ

David Thomas, Group Manager Data, Analytics & Insights, Genesis

Andrew Bates, Chief Technology Officer, Harmoney

Evelyn Wareham, Chief Data and Insights Officer, Ministry of Business, Innovation and Employment

While data maturity assessments have long been available as a tool to help organisations understand and improve their data practice, the foundations upon which they are established and implemented are not necessarily understood or articulated in a way to maximise their value.  Kevin will talk about his experience leading work for the Government Chief Data Steward/Stats NZ to develop a Data Maturity Assessment for the New Zealand government, and the importance of a clear set of maturity, data capability, and reporting foundations to guide the effort.

 Speaker:

Kevin Sweeney, Principal Advisor, Stats NZ

For 124 years, T&G Global has produced and exported fresh produce sourced from over 1200 Kiwi growers. Embarking on a transformative AI journey, T&G sought to improve demand forecasting, reduce waste and increase revenue. In this fireside chat, Head of Digital & Analytics, Colin Fallon shares how the business overcame barriers to change, bringing departments together to improve forecasting accuracy and deliver real AI impact for the business. 

Speakers: 

Colin Fallon, Head of Digital & Analytics, T&G Global 

Moderated by: Michael Barnes, Account Director, New Zealand, DataRobot 

Speaker:

David Thomas, Group Platform Owner Data, Genesis

The core tenants of a data driven culture are: data consolidation, access to data, education & awareness, and decision empowerment.

• How effective can protections around data be?
• Tackling the inherent tension between open data and privacy – how to bridge the gap between security and public engagement?
• Successful strategies to champion governance initiatives.
• How should data ethics inform your policy?
• What are some practical examples of said steps being implemented at organisations?
• Policies and procedures around acceptable behaviour
• Training to ensure the business can meet the above needs
• Privacy by design: Incorporating that into data so that it spreads out across the organisation
• How do we bring data privacy to life – not just in data world, but in new products and services?
• Building a culture of considering customer data up front

Panellist:

Kate Kolich, Assistant Governor/General Manager Information, Data and Analytics, Reserve Bank of New Zealand

Mazen Kassis, Head of Data & Analytics, foodstuffs North Island

Rebecca Holdsworth, Head of Privacy and Compliance, Vodafone

Rachel O'Brien, Head of Privacy & Data Ethics, Bank of New Zealand

Sharon Abbott, Head of Data Governance, NZ, ANZ

Continue the conversations in a fun and entertaining way

Gladwin Mendez, Virtual CDAO, and Advisory Board Member, Corinium Global Intelligence

Mark will be presenting as the Government Chief Data Steward on the work happening across the government data system, as well as some of the initiatives that reach beyond government into the private sector.

Speaker:

Mark Sowden, Chief Executive, Stats NZ

What happens when you take away the overhead of upgrades and patches and move beyond dashboards and trend analysis? Find out how Ando Insurance has utilised Qlik Sense Cloud to reduce operational risk to areas such as the Russian sanctions; uncover and reduce geographical over insurance exposure; improve payment cash flow, significantly increase user adoption and help focus underwriting staff time on actions that matter.

Speaker: 
Josh Reid, Head of Pricing and Analytics, Ando Insurance Group Limited

Speaker:

Agate Ponder-Sutton, Chief Data Scientist, Ministry of Education of New Zealand

It’s no secret that smart organisations want to make more decisions fueled by data and analytics – but relatively few have breakthrough success.  A recent study showed that 97% of organisations are investing in big data and AI technologies but only 23% report being data driven.  What’s the bottleneck? Complex disparate data silos, a lack of data and analytic talent, inefficient and manual processes, and a lack of data literacy remain top inhibitors. What if an organisation could upskill its workforce so all business teams and knowledge workers could use data and analytics to solve their companies most vexing challenges?  There is a way – a proven method – that helps organisations democratise analytics across an organisation. 

Join this session to understand: 

• The stages of analytics maturity
• The divide between people and technology
• The unbalanced spending on data and analytics technologies
• A better way to do things – democratise analytics

Speaker:

Heidi Badgery, Managing Director, ANZ, Alteryx

Speaker:

Kendra Vant, Executive GM Data, ML & AI, Xero

Companies are pressed to deliver business value from data faster than ever, yet a splintered technology landscape holds back progress and allows inefficiencies to fester.  We make the case to consolidate the data value chain, by augmenting smart engineering practices with the strategic use of automation.  The results span not only accelerated velocity and higher quality data products, but also long-term efficiencies, simplified observability, and increased reliability in the data stack.

Speaker:

Michael Leppitsch, Global Head of Alliances, Ascend.io

Speaker:

Kevin Ross, CEO, Precision Driven Health

• With changing customer demands and business priorities, the needs of the organisation are changing constantly. How can the data analytics function remain focused yet flexible?
• How do you foster better relationships between different departments – data science, IT and other business lines? Save the data silo rebellion! Save the dream!
• How do you demonstrate both short and long-term value from data & analytics?
• Can you have agility without following the Agile approach? What are the benefits and drawbacks to each and how do you overcome these?
• How can data help the business to be nimbler?
• Pre and post covid: What themes do you see driving agility for businesses?

Moderator:

Gladwin Mendez, Advisory Board Member, Corinium Global Intelligence

Panellists:

Terri Carajannis, Chief Digital Officer, Harrison Grierson

Tighe Wall, Chief Digital Officer, Contact Energy Ltd

Ratneesh Suri, Head of Data and Analytics, Ports of Auckland

Miles Fordyce, Chief Digital and Innovation Officer, The Real Estate Institute of New Zealand (REINZ)

Tony Aitken, GM Data and Analytics, Auckland Transport

Speaker:

Ganesh Selvaraj, Data, Analytics & AI – Architect, Strategy & Transformation, and Principal Data Scientist, Advanced Analytics & AI Lead, Regulatory Intelligence, Worksafe New Zealand

This session will examine Loyalty NZ’s new model that has built a very close partnership between the data and technology teams, and the business teams. We will look at the big results being won as a result of these partnerships, and the lessons learned along the way. It will also look at their data literacy programme, biases and why they matter, and why humans are destined to make bad decisions with data.

Speaker:

Brian Ferris, Chief Data, Analytics and Technology Officer, Loyalty New Zealand