<img height="1" width="1" style="display:none;" alt="" src="https://dc.ads.linkedin.com/collect/?pid=306561&amp;fmt=gif">

CDAO New Zealand

3 - 5 November 2020
New Zealand's premier event for the data and analytics industry
GOING ONLINE FOR 2020

PDF Agenda Watch on demand

Agenda

Conference Day 1
November 3rd 2020
10:30

Registration & Networking

Registration & Networking

November 4 | 10:30 - 10:55

Speaking:

11:00

International Keynote Presentation: Culture is King: Fostering a Culture of Excellence in Data and Analytics

We know that prioritising data is something that comes from the top management – but how do we get this to happen? This session will examine:

  • Becoming a truly data enabled business - What organisational culture is required?
  • Accelerating change through technology.
  • Establishing a start-up-like culture to foster innovation
  • Adjusting strategies to emphasise data and analytics
  • How your analytics team can involve the sponsors on the journey with them
  • How to get your execs to ask for what they truly need
  • What does it mean to embrace a data culture?
  • How does data and analytic help execs to sell their story?
  • Why you need to know your stakeholders and know their data level of maturity
  • How to you take them on the journey of what they can achieve with the data

Speaker:

Vipin Gopal, PhD, Chief Data and Analytics Officer, Eli Lilly and Company (USA)

International Keynote Presentation: Culture is King: Fostering a Culture of Excellence in Data and Analytics

January 18 | 11:00 - 11:25

We know that prioritising data is something that comes from the top management – but how do we get this to happen? This session will examine:

  • Becoming a truly data enabled business - What organisational culture is required?
  • Accelerating change through technology.
  • Establishing a start-up-like culture to foster innovation
  • Adjusting strategies to emphasise data and analytics
  • How your analytics team can involve the sponsors on the journey with them
  • How to get your execs to ask for what they truly need
  • What does it mean to embrace a data culture?
  • How does data and analytic help execs to sell their story?
  • Why you need to know your stakeholders and know their data level of maturity
  • How to you take them on the journey of what they can achieve with the data

Speaker:

Vipin Gopal, PhD, Chief Data and Analytics Officer, Eli Lilly and Company (USA)

Speaking:

11:30

Be Data-Driven: The Power of Data Literacy

It is no secret, the world is a data-driven world.  The increase in data over the last decade has pushed organizations into looking on how to capitalize on their data.  With this increase of data, we have also seen an increasing need to learn how to use that data effectively.  Join Global Head of Data Literacy Jordan Morrow to discuss what data literacy is, how speaking the language of data can empower an organization towards data and analytical success, and finally, what organizations can do to become more data-driven.

Speaker:

Jordan Morrow, Global Head of Data Literacy, Qlik 

Be Data-Driven: The Power of Data Literacy

January 18 | 11:30 - 11:55

It is no secret, the world is a data-driven world.  The increase in data over the last decade has pushed organizations into looking on how to capitalize on their data.  With this increase of data, we have also seen an increasing need to learn how to use that data effectively.  Join Global Head of Data Literacy Jordan Morrow to discuss what data literacy is, how speaking the language of data can empower an organization towards data and analytical success, and finally, what organizations can do to become more data-driven.

Speaker:

Jordan Morrow, Global Head of Data Literacy, Qlik 

Speaking:

12:00

Case study Data-driven Strategy at NZ Transport Agency

  • Moving from a traditional CIO role to include data and analytics strategy
  • Data ops approach to help talent diversity horizontally
Speaker:
Stephen Clarke, Chief Data Officer, NZ Transport Agency

Case study Data-driven Strategy at NZ Transport Agency

January 18 | 12:00 - 12:25

  • Moving from a traditional CIO role to include data and analytics strategy
  • Data ops approach to help talent diversity horizontally
Speaker:
Stephen Clarke, Chief Data Officer, NZ Transport Agency

Speaking:

12:30

Presentation: Building Sustainable Data Governance and Data Intelligence with erwin

In this segment, we will discuss some of the known and little-known issues with Data Governance programs and provide a comprehensive overview of technology that can take the pain out of implementing a program and make it exponentially easier to maintain over the course of time, and for a wide variety of roles within the business and technology teams.

Speaker:

Sam Benedict, Vice President of Solution Strategy, erwin

Presentation: Building Sustainable Data Governance and Data Intelligence with erwin

January 18 | 12:30 - 12:55

In this segment, we will discuss some of the known and little-known issues with Data Governance programs and provide a comprehensive overview of technology that can take the pain out of implementing a program and make it exponentially easier to maintain over the course of time, and for a wide variety of roles within the business and technology teams.

Speaker:

Sam Benedict, Vice President of Solution Strategy, erwin

Speaking:

1:00

Keynote Panel Discussion: What is Future of Data and Analytics post-COVID-19?

Correlation tells you how numbers interacted in the past, but it doesn’t tell you the structure of that data. After a shock, the ability for data leaders to forecast future scenarios is so much harder, as you can’t just draw on previous trends. This panel will examine:

  • What will the post-COVID business look like? Will there be a major swing to online?
  • To what extent will data and analytics play a more important role in most organisations?
  • What digital trends have been accelerated for organisations?
  • How do data and analytics leaders support organisations during a crisis?
  • Do we see a reverting back to a tried and tested (and not necessarily right) data approach during a crisis?
  • What happens when you cannot use historical data to make decisions?
  • How have businesses had to change their approach around systems and frameworks?

 

Panellists:

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

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

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

Caroline Izzard, General Manager, Data and Insights, TVNZ

Tony Aitken, GM Data and Analytics, Auckland Transport

Kevin Ross, CEO, Precision Driven Health

Speaking:

Keynote Panel Discussion: What is Future of Data and Analytics post-COVID-19?

November 5 | 13:00 - 13:40

Correlation tells you how numbers interacted in the past, but it doesn’t tell you the structure of that data. After a shock, the ability for data leaders to forecast future scenarios is so much harder, as you can’t just draw on previous trends. This panel will examine:

  • What will the post-COVID business look like? Will there be a major swing to online?
  • To what extent will data and analytics play a more important role in most organisations?
  • What digital trends have been accelerated for organisations?
  • How do data and analytics leaders support organisations during a crisis?
  • Do we see a reverting back to a tried and tested (and not necessarily right) data approach during a crisis?
  • What happens when you cannot use historical data to make decisions?
  • How have businesses had to change their approach around systems and frameworks?

 

Panellists:

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

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

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

Caroline Izzard, General Manager, Data and Insights, TVNZ

Tony Aitken, GM Data and Analytics, Auckland Transport

Kevin Ross, CEO, Precision Driven Health

Speaking:

1:45

Discussion Group A: Selling your data story within your business

  • Balancing the art of the possible with your ability to deliver and meet expectations
  • Communicating to the company what data they need to move forward

Moderators:

Kitty Ling, Senior Manager / NZ Lead Retail Analytics, Woolworths NZ Limited

Scott Brooker, Head of Business Intelligence, Yellow

 

Discussion Group A: Selling your data story within your business

January 18 | 13:45 - 14:15

  • Balancing the art of the possible with your ability to deliver and meet expectations
  • Communicating to the company what data they need to move forward

Moderators:

Kitty Ling, Senior Manager / NZ Lead Retail Analytics, Woolworths NZ Limited

Scott Brooker, Head of Business Intelligence, Yellow

 

Speaking:

1:45

Discussion Group B: Data and Ethics - Where are we going from here?

  • To what extent are we moving away from the traditional approach of using public data?
  • Discussing the ethical issues of how data is collected and used
  • If people are willing to share their data, should they have a say in how it is used?
  • Why people should be benefitting from open data
  • The implications of data collection on marginalised communities

Moderators:

Kevin Sweeney, Principal Advisor - Data Leadership & Capability, Stats NZ

Gary Blumgart, Head of Theta Data and Insights

 

 

Discussion Group B: Data and Ethics - Where are we going from here?

January 18 | 13:45 - 14:15

  • To what extent are we moving away from the traditional approach of using public data?
  • Discussing the ethical issues of how data is collected and used
  • If people are willing to share their data, should they have a say in how it is used?
  • Why people should be benefitting from open data
  • The implications of data collection on marginalised communities

Moderators:

Kevin Sweeney, Principal Advisor - Data Leadership & Capability, Stats NZ

Gary Blumgart, Head of Theta Data and Insights

 

 

Speaking:

1:45

Discussion Group C: Data risk and governance in a remote working environment – the cultural and human aspect of disruption

For many companies their risk appetite and posture has changed with staff working from home. “Out of sight and out of mind” has never been so relevant as it is during this pandemic where we have entire functions straining approved access points and networks, all the while having to trust that client side aspects are secure.

  • Security, privacy and data protection in a remote working environment
  • How do we make our systems better for working remotely?
  • Security implications of fast adoption of cloud storage

 

Moderator:

Anna Tarasoff, Head of Data and Analytics Capability, Southern Cross Health Society

 

Discussion Group C: Data risk and governance in a remote working environment – the cultural and human aspect of disruption

January 18 | 13:45 - 14:15

For many companies their risk appetite and posture has changed with staff working from home. “Out of sight and out of mind” has never been so relevant as it is during this pandemic where we have entire functions straining approved access points and networks, all the while having to trust that client side aspects are secure.

  • Security, privacy and data protection in a remote working environment
  • How do we make our systems better for working remotely?
  • Security implications of fast adoption of cloud storage

 

Moderator:

Anna Tarasoff, Head of Data and Analytics Capability, Southern Cross Health Society

 

Speaking:

Track A - Data and Analytics and Ethics

2:20

Presentation Spark’s Data Cloud Journey With Snowflake

Peter Langham - Domain Chapter Lead, Data Engineering and Data Science - will discuss why Spark decided to move their data and analytics capability to the cloud, the benefits achieved and how Snowflake Cloud Data Platform has enabled them to be more data driven, deliver faster and improve analytic output across the business.

Speaker:

Peter Langham, Domain Chapter Lead, Spark New Zealand

Presentation Spark’s Data Cloud Journey With Snowflake

January 18 | 14:20 - 14:45

Peter Langham - Domain Chapter Lead, Data Engineering and Data Science - will discuss why Spark decided to move their data and analytics capability to the cloud, the benefits achieved and how Snowflake Cloud Data Platform has enabled them to be more data driven, deliver faster and improve analytic output across the business.

Speaker:

Peter Langham, Domain Chapter Lead, Spark New Zealand

Speaking:

Track B - Applied analytics

2:20

Case study Building Scalable Data & AI environments

  • How do business that don’t have in house expertise figure out what is hype around AI versus what is truly value adding
  • Emerging technologies that connect and validate data
  • Everyone talks about AI, but what does it really mean? Is it more than just a fancy programme?
  • Is it realistically applicable?
  • What is the technology stack around that data?

Speaker:

Dr. Paulo Gottgtroy, Data Centre of Excellence Manager, Mercury Energy, and Executive Council, AI Forum NZ

Case study Building Scalable Data & AI environments

January 18 | 14:20 - 14:45

  • How do business that don’t have in house expertise figure out what is hype around AI versus what is truly value adding
  • Emerging technologies that connect and validate data
  • Everyone talks about AI, but what does it really mean? Is it more than just a fancy programme?
  • Is it realistically applicable?
  • What is the technology stack around that data?

Speaker:

Dr. Paulo Gottgtroy, Data Centre of Excellence Manager, Mercury Energy, and Executive Council, AI Forum NZ

Speaking:

Track C - On demand sessions Day 1

2:30

Case study As you scale up your data capabilities, how do you manage the data governance framework?

  • How good data governance enabled this organisation to have a competitive advantage
  • Ensuring your data governance is in place in order to generate full benefit from AI
  • Fixing the challenge of legacy systems to ensure data quality
  • Assigning the correct roles and responsibilities to ensure good foundational data quality

 

Speaker:

Dr. Figen Ulgen, Head of Analytics and Insights, Woolworths NZ

Case study As you scale up your data capabilities, how do you manage the data governance framework?

January 18 | 14:30 - 14:40

  • How good data governance enabled this organisation to have a competitive advantage
  • Ensuring your data governance is in place in order to generate full benefit from AI
  • Fixing the challenge of legacy systems to ensure data quality
  • Assigning the correct roles and responsibilities to ensure good foundational data quality

 

Speaker:

Dr. Figen Ulgen, Head of Analytics and Insights, Woolworths NZ

Speaking:

Track C - On demand sessions Day 1

2:30

Case Study: How supercomputing and data science are super-charging NIWA’s environmental science

  • Highly scalable end to end AI
  • Getting data governance in place to take advantage of AI systems

 

Speaker:

Dr Kameron Christopher, Chief Scientist - High Performance Computing and Data Science, NIWA (National Institute of Water and Atmospheric Research)

 

Case Study: How supercomputing and data science are super-charging NIWA’s environmental science

January 18 | 14:30 - 14:55

  • Highly scalable end to end AI
  • Getting data governance in place to take advantage of AI systems

 

Speaker:

Dr Kameron Christopher, Chief Scientist - High Performance Computing and Data Science, NIWA (National Institute of Water and Atmospheric Research)

 

Speaking:

Track C - On demand sessions Day 1

2:30

Case study: Doing More with Less

Case study on making it happen, with the nuts and bolts of the execution

Speaker:

Steven Parrish, Chief Information Officer, Taranaki District Health Board and Interim SRO - eSPACE Programme, Healthshare

Case study: Doing More with Less

November 4 | 14:30 - 14:50

Case study on making it happen, with the nuts and bolts of the execution

Speaker:

Steven Parrish, Chief Information Officer, Taranaki District Health Board and Interim SRO - eSPACE Programme, Healthshare

Speaking:

Track A - Data and Analytics and Ethics

2:50

National Ethics Advisory Committee Perspective: Data ethics and contact tracing

  • Overview of health data ethics
  • Ethics of apps and contact tracing

 Speaker:

Nic Aagaard, Principal Advisor, Ethics, Quality Assurance and Safety, Health System Improvement and Innovation, Ministry of Health

and

Dr. Vanessa Jordan, Senior Research Fellow, University of Auckland

National Ethics Advisory Committee Perspective: Data ethics and contact tracing

January 18 | 14:50 - 15:15

  • Overview of health data ethics
  • Ethics of apps and contact tracing

 Speaker:

Nic Aagaard, Principal Advisor, Ethics, Quality Assurance and Safety, Health System Improvement and Innovation, Ministry of Health

and

Dr. Vanessa Jordan, Senior Research Fellow, University of Auckland

Speaking:

Track B - Applied analytics

2:50

Presentation Covid-19 Contact Tracing Apps: What works?

Speaker:

Nina Anchugina, Deputy Director/Senior Data Scientist, AUT Centre for Social Data Analytics (CSDA), Auckland University of Technology

Speaking:

Presentation Covid-19 Contact Tracing Apps: What works?

November 6 | 14:50 - 15:15

Speaker:

Nina Anchugina, Deputy Director/Senior Data Scientist, AUT Centre for Social Data Analytics (CSDA), Auckland University of Technology

Speaking:

Track A - Data and Analytics and Ethics

3:20

Presentation The calm in the storm: Data infrastructure in a COVID-19 world

  • The critical value of data infrastructure is especially apparent in a crisis
  • COVID-19 has surfaced the cracks in our systems for managing and leveraging data
  • Well-designed data infrastructure is a source of assurance and future resilience

Speaker:

Kevin Sweeney, Principal Advisor - Data Leadership & Capability, Stats NZ

Presentation The calm in the storm: Data infrastructure in a COVID-19 world

January 18 | 15:20 - 15:45

  • The critical value of data infrastructure is especially apparent in a crisis
  • COVID-19 has surfaced the cracks in our systems for managing and leveraging data
  • Well-designed data infrastructure is a source of assurance and future resilience

Speaker:

Kevin Sweeney, Principal Advisor - Data Leadership & Capability, Stats NZ

Speaking:

3:50

End of Day One Chair’s Remarks

End of Day One Chair’s Remarks

January 18 | 15:50 - 15:55

Speaking:

3:55

Now network with peers

Opportunity to continue the conversations in the virtual exhibition!

Now network with peers

January 18 | 15:55 - 16:00

Opportunity to continue the conversations in the virtual exhibition!

Speaking:

Conference Day 2
November 4th 2020
10:30

Registration & Networking

Registration & Networking

November 6 | 10:30 - 10:55

Speaking:

10:55

Opening Remarks and welcome from Corinium

Opening Remarks and welcome from Corinium

January 18 | 10:55 - 11:00

Speaking:

11:00

International Keynote Presentation

Eileen Vidrine, Chief Data Officer, United States Air Force (USA)

Speaking:

International Keynote Presentation

November 5 | 11:00 - 11:25

Eileen Vidrine, Chief Data Officer, United States Air Force (USA)

Speaking:

11:30

Improving the customer experience with real-time streaming data

Vodafone New Zealand is undertaking a major data modernisation program. Learn how real-time data is enabling their Vodafone TV and Customer Care teams to offer a more personalised, proactive and engaging experience. 

Attend this session to find out how Vodafone NZ:

  • has overcome a complicated landscape after two major acquisitions  
  • brings dispersed data together with a platform that can scale up/down to meet demand at known cost 
  • delivers business insights 50% faster from a new product or service launch for its 2.3 million customers

Speakers:

Peter McCallum, Head of Business Intelligence, Vodafone NZ

Stu Garrow, Senior Vice President & General Manager APAC, Talend

Improving the customer experience with real-time streaming data

January 18 | 11:30 - 11:55

Vodafone New Zealand is undertaking a major data modernisation program. Learn how real-time data is enabling their Vodafone TV and Customer Care teams to offer a more personalised, proactive and engaging experience. 

Attend this session to find out how Vodafone NZ:

  • has overcome a complicated landscape after two major acquisitions  
  • brings dispersed data together with a platform that can scale up/down to meet demand at known cost 
  • delivers business insights 50% faster from a new product or service launch for its 2.3 million customers

Speakers:

Peter McCallum, Head of Business Intelligence, Vodafone NZ

Stu Garrow, Senior Vice President & General Manager APAC, Talend

Speaking:

12:00

Getting rid of stupid

Attend Devin's 20-minute lighting talk and learn our methods for:

- Spotting stupid 

- Identifying those stupid items which you have a fighting chance for stamping out 

- Being able to marshall your organisations' political will and funding to initiate the change necessary to get rid of stupid

Speaker:

Devin Deen, Associate Partner, Data & Analytics, Servian

Getting rid of stupid

January 18 | 12:00 - 12:25

Attend Devin's 20-minute lighting talk and learn our methods for:

- Spotting stupid 

- Identifying those stupid items which you have a fighting chance for stamping out 

- Being able to marshall your organisations' political will and funding to initiate the change necessary to get rid of stupid

Speaker:

Devin Deen, Associate Partner, Data & Analytics, Servian

Speaking:

12:30

Keynote Presentation: The importance of data to decision making

COVID-19 showcased the importance of data to decision making, and this is the story of Stats NZ’s involvement in providing this support, including how it’s rethinking its approach to data delivery following the success of its COVID-19 data portal.

This session will focus on:

  • Finding and taking an innovative approach to compiling and presenting the data needed to respond quickly and effectively to the crisis
  • The role of Stats NZ’s commercial arm, Data Ventures in helping to develop the Covid-19 data portal
  • Managing challenges around data management, accessibility and transparency
  • Lessons learnt along the way and ideas for the future

 

Speaker:

Mark Sowden, Chief Executive and Government Statistician, Statistics New Zealand

Speaking:

Keynote Presentation: The importance of data to decision making

November 5 | 12:30 - 12:55

COVID-19 showcased the importance of data to decision making, and this is the story of Stats NZ’s involvement in providing this support, including how it’s rethinking its approach to data delivery following the success of its COVID-19 data portal.

This session will focus on:

  • Finding and taking an innovative approach to compiling and presenting the data needed to respond quickly and effectively to the crisis
  • The role of Stats NZ’s commercial arm, Data Ventures in helping to develop the Covid-19 data portal
  • Managing challenges around data management, accessibility and transparency
  • Lessons learnt along the way and ideas for the future

 

Speaker:

Mark Sowden, Chief Executive and Government Statistician, Statistics New Zealand

Speaking:

1:00

Presentation Why Your Data Science Architecture Should Include a Data Virtualization Tool

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. 

However, most architecture laid out to enable data scientists miss two key challenges:

  • Data scientists spend most of their time looking for the right data and massaging it into a usable format 
  • Results and algorithms created by data scientists often stay out of the reach of regular data analysts and business users

Attend this session to understand how data virtualization offers an alternative to address these issues and can accelerate data acquisition and massaging. And a customer story on the use of Machine Learning with data virtualization.

Speaker:

Chris Day, Director, APAC Sales Engineering, Denodo

Presentation Why Your Data Science Architecture Should Include a Data Virtualization Tool

January 18 | 13:00 - 13:25

Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists. 

However, most architecture laid out to enable data scientists miss two key challenges:

  • Data scientists spend most of their time looking for the right data and massaging it into a usable format 
  • Results and algorithms created by data scientists often stay out of the reach of regular data analysts and business users

Attend this session to understand how data virtualization offers an alternative to address these issues and can accelerate data acquisition and massaging. And a customer story on the use of Machine Learning with data virtualization.

Speaker:

Chris Day, Director, APAC Sales Engineering, Denodo

Speaking:

1:30

Don't Simply Show your Data—Tell a Story with it!

Technologies like Tableau make it easier than ever for business people to access and explore their data. As a result, more insights are uncovered within companies every day. However, unless we can communicate these insights effectively, no one will act on them, and no change will occur. In this session, we will explore ways to overcome this too familiar 'insights dead-end'.

Speaker:

Mac Bryla, APAC Technology Evangelist, Tableau

Don't Simply Show your Data—Tell a Story with it!

January 18 | 13:30 - 13:55

Technologies like Tableau make it easier than ever for business people to access and explore their data. As a result, more insights are uncovered within companies every day. However, unless we can communicate these insights effectively, no one will act on them, and no change will occur. In this session, we will explore ways to overcome this too familiar 'insights dead-end'.

Speaker:

Mac Bryla, APAC Technology Evangelist, Tableau

Speaking:

2:00

Discussion Group A: Data–driven Decision Making during a Crisis

Data is the fuel for decision making – day-to-day decisions and strategic decisions. During the COVID-19 pandemic, data was the lifeblood of every country’s response. This panel discussion will explore what that decision making looked like in NZ, and what were the lessons learned.

  • What does interdisciplinary knowledge really look like?
  • Data sharing – and why the value of those models can only increase with sharing
  • Examining the usefulness of information in a context like this
  • How to consider all the evidence in decision making
  • How do we measure the effectiveness of different data decisions?
  • How do you explain it and communicate it to the public?

Panellists:

Dame Diane Robertson, Executive Director, The New Zealand Data Trust

Emily Mason, Chief Executive and Co-founder, FrankAdvice and Impact Lab

Kevin Ross, CEO, Precision Driven Health

Mark Sowden, Chief Executive and Government Statistician, Statistics New Zealand

 

Speaking:

Discussion Group A: Data–driven Decision Making during a Crisis

November 5 | 14:00 - 14:30

Data is the fuel for decision making – day-to-day decisions and strategic decisions. During the COVID-19 pandemic, data was the lifeblood of every country’s response. This panel discussion will explore what that decision making looked like in NZ, and what were the lessons learned.

  • What does interdisciplinary knowledge really look like?
  • Data sharing – and why the value of those models can only increase with sharing
  • Examining the usefulness of information in a context like this
  • How to consider all the evidence in decision making
  • How do we measure the effectiveness of different data decisions?
  • How do you explain it and communicate it to the public?

Panellists:

Dame Diane Robertson, Executive Director, The New Zealand Data Trust

Emily Mason, Chief Executive and Co-founder, FrankAdvice and Impact Lab

Kevin Ross, CEO, Precision Driven Health

Mark Sowden, Chief Executive and Government Statistician, Statistics New Zealand

 

Speaking:

2:00

Discussion Group B: Privacy During a Pandemic

Privacy and trust are becoming increasingly important in the public conversation. When health outcomes are of paramount importance, and policy is moving at pace, does a citizen’s privacy become a luxury?

  • Has the epidemic increased the public’s fear of data misuse? Or brought to light the vital importance of data-driven decision making?
  • Open data and the ethical use of public data
  • What do organisations need to do above and beyond legal compliance? Delivering on trust to your customers
  • Why businesses need to take a holistic approach to customer privacy, ethics, compliance and digital trust
  • What the recent privacy changes from Silicon Valley tell us about the changing global data privacy landscape

Panellists:

Nic Aagaard, Principal Advisor, Ethics, Quality Assurance and Safety, Health System Improvement and Innovation, Ministry of Health

Sarah Auva'a, Lead Digital Trust Partner, Spark New Zealand

Discussion Group B: Privacy During a Pandemic

January 18 | 14:00 - 14:30

Privacy and trust are becoming increasingly important in the public conversation. When health outcomes are of paramount importance, and policy is moving at pace, does a citizen’s privacy become a luxury?

  • Has the epidemic increased the public’s fear of data misuse? Or brought to light the vital importance of data-driven decision making?
  • Open data and the ethical use of public data
  • What do organisations need to do above and beyond legal compliance? Delivering on trust to your customers
  • Why businesses need to take a holistic approach to customer privacy, ethics, compliance and digital trust
  • What the recent privacy changes from Silicon Valley tell us about the changing global data privacy landscape

Panellists:

Nic Aagaard, Principal Advisor, Ethics, Quality Assurance and Safety, Health System Improvement and Innovation, Ministry of Health

Sarah Auva'a, Lead Digital Trust Partner, Spark New Zealand

Speaking:

2:00

Discussion Group C: Becoming a truly data enabled business - What organisational culture is required?

We know that prioritising data is something that comes from the top management – but how do we get this to happen? This panel will examine:

  • How your analytics team can involve the sponsors on the journey with them
  • How to get your execs to ask for what they truly need
  • What does it mean to embrace a data culture?
  • How does data and analytic help execs to sell their story?
  • Why you need to know your stakeholders and know their data level of maturity
  • How to you take them on the journey of what they can achieve with the data

 

Panellists:

Astrud Burgess, General Manager, Data and Marketing, ANZ Bank

Neville Richardson, Chief Information Officer, Gallagher

Linley Jesson, Group Leader Data Science, Plant and Food Research

Discussion Group C: Becoming a truly data enabled business - What organisational culture is required?

January 18 | 14:00 - 14:30

We know that prioritising data is something that comes from the top management – but how do we get this to happen? This panel will examine:

  • How your analytics team can involve the sponsors on the journey with them
  • How to get your execs to ask for what they truly need
  • What does it mean to embrace a data culture?
  • How does data and analytic help execs to sell their story?
  • Why you need to know your stakeholders and know their data level of maturity
  • How to you take them on the journey of what they can achieve with the data

 

Panellists:

Astrud Burgess, General Manager, Data and Marketing, ANZ Bank

Neville Richardson, Chief Information Officer, Gallagher

Linley Jesson, Group Leader Data Science, Plant and Food Research

Speaking:

Track A - Future Data Science

2:35

Case Study: Aligning data and reporting improvement to enhance asset management

Speaker:

Huazhuo Lin, Chief Data & Analytics Officer, WEL Networks

Case Study: Aligning data and reporting improvement to enhance asset management

January 18 | 14:35 - 15:00

Speaker:

Huazhuo Lin, Chief Data & Analytics Officer, WEL Networks

Speaking:

Track B - Strategy & Analytics Implementation Day 2

2:35

Case study Data Ventures mobility mapping (especially as a COVID-19 use case)

Speaker:

Drew Broadley, Executive Director at Data Ventures, Stats NZ

Case study Data Ventures mobility mapping (especially as a COVID-19 use case)

January 18 | 14:35 - 15:00

Speaker:

Drew Broadley, Executive Director at Data Ventures, Stats NZ

Speaking:

Track A - Future Data Science

3:05

Case study Data driven performance in Tennis

How Tennis New Zealand is using data analytics to:

  • Provide a more competitive tournament pathway for players of all levels.
  • Educate coaches, players, and parents on optimal developmental pathways.
  • Monitor the training loads and daily well-being of athletes.
  • Improve the context and effectiveness of training sessions.

Speaker:

Matthew Alexander, National Development Coach, Tennis New Zealand

Case study Data driven performance in Tennis

November 4 | 15:05 - 15:30

How Tennis New Zealand is using data analytics to:

  • Provide a more competitive tournament pathway for players of all levels.
  • Educate coaches, players, and parents on optimal developmental pathways.
  • Monitor the training loads and daily well-being of athletes.
  • Improve the context and effectiveness of training sessions.

Speaker:

Matthew Alexander, National Development Coach, Tennis New Zealand

Speaking:

Track B - Strategy & Analytics Implementation Day 2

3:05

Case study: Overcoming Data and Analytics Programme Barriers

What are the practical steps that can be taken to tackle common organisational barriers to the success of D&A programmes, such as:

  • Cultural resistant to change,
  • Lack of investment (funding/resource),
  • Organisational poor data literacy,
  • Lack of relevant D&A skills/staff.
  • Engagement and Prioritization
  • Expectation Setting

 

This talk will also look at balancing the art of the possible with your ability to deliver and meet expectations

Speaker:

Richard Griffin, Head of Data, TOWER Insurance

Case study: Overcoming Data and Analytics Programme Barriers

January 18 | 15:05 - 15:30

What are the practical steps that can be taken to tackle common organisational barriers to the success of D&A programmes, such as:

  • Cultural resistant to change,
  • Lack of investment (funding/resource),
  • Organisational poor data literacy,
  • Lack of relevant D&A skills/staff.
  • Engagement and Prioritization
  • Expectation Setting

 

This talk will also look at balancing the art of the possible with your ability to deliver and meet expectations

Speaker:

Richard Griffin, Head of Data, TOWER Insurance

Speaking:

3:30

End of Day Two Chair’s Remarks

End of Day Two Chair’s Remarks

January 18 | 15:30 - 15:30

Speaking:

Conference Day 3
November 5th 2020
10:30

Registration & Networking

Registration & Networking

January 18 | 10:30 - 10:55

Speaking:

11:00

Keynote International Presentation: Data-as-a-Service.... The Holy Grail

Organisations all know that during moments of crisis, the first thing they need is trusted data for their insights and decision making. This keynote charts the course from basics to the Holy Grail of Data-as-a-Service, and examines:

  • Data Management is about connected thinking
  • Business Strategy driving the Data Strategy
  • The benefits of an applied Data Governance Framework
  • Deploying a simplified Data Strategy Model
  • Data-as-a-Service: agile, scalable and consistent

Speaker:

Anwar Mirza, Data Strategy & Governance, FedEx Express

Keynote International Presentation: Data-as-a-Service.... The Holy Grail

January 18 | 11:00 - 11:25

Organisations all know that during moments of crisis, the first thing they need is trusted data for their insights and decision making. This keynote charts the course from basics to the Holy Grail of Data-as-a-Service, and examines:

  • Data Management is about connected thinking
  • Business Strategy driving the Data Strategy
  • The benefits of an applied Data Governance Framework
  • Deploying a simplified Data Strategy Model
  • Data-as-a-Service: agile, scalable and consistent

Speaker:

Anwar Mirza, Data Strategy & Governance, FedEx Express

Speaking:

11:30

Case study: The future of data and analytics post-COVID-19

COVID-19 has caused a dramatic shift as the linear future we were predicting no longer exists. This applies to the economy, the job market, the balance of skills needed for a prosperous NZ and what customers are demanding. It also applies to how we lead through data and analytics. For us in the data and analytics business, this means:

  • The analytics will only be as relevant as the decision and question along with it for the front line analytics piece: How do I ask the right questions of our data?
  • What new influencers do we need to be listening to, from the environment and our customers?
  • What do we stop listening to?
  • ML and predictive analytics: How do we get the machine to detect changes and forecast the new future?
  • How do we set our teams up to be responsive to questions we can’t predict?
  • How do we take our organisations and our execs on this new journey, when the data will be telling them something quite different to before
  • We are now operating in an environment where data savviness has improved significantly (everyone was watching COVID unfold by the numbers and visualisations). How do we build off this jump?

Speaker:

Jan Sheppard, Chief Data Officer, Tertiary Education Commission

 

 

Speaking:

Case study: The future of data and analytics post-COVID-19

November 5 | 11:30 - 11:55

COVID-19 has caused a dramatic shift as the linear future we were predicting no longer exists. This applies to the economy, the job market, the balance of skills needed for a prosperous NZ and what customers are demanding. It also applies to how we lead through data and analytics. For us in the data and analytics business, this means:

  • The analytics will only be as relevant as the decision and question along with it for the front line analytics piece: How do I ask the right questions of our data?
  • What new influencers do we need to be listening to, from the environment and our customers?
  • What do we stop listening to?
  • ML and predictive analytics: How do we get the machine to detect changes and forecast the new future?
  • How do we set our teams up to be responsive to questions we can’t predict?
  • How do we take our organisations and our execs on this new journey, when the data will be telling them something quite different to before
  • We are now operating in an environment where data savviness has improved significantly (everyone was watching COVID unfold by the numbers and visualisations). How do we build off this jump?

Speaker:

Jan Sheppard, Chief Data Officer, Tertiary Education Commission

 

 

Speaking:

12:00

AI in Uncertain Times

AI and machine learning models are trained on historical data, but due to the massive systemic impacts of COVID-19, historical datasets may no longer reflect the current reality. In this talk, Aman will cover: 

  • How AI systems react to extreme events?
  • How can we proactively monitor and identify changes?
  • Best practices around retraining ML models 
  • Approaches for tackling future challenges

Aman Sharma, Customer Facing Data Scientist, DataRobot

AI in Uncertain Times

January 18 | 12:00 - 12:25

AI and machine learning models are trained on historical data, but due to the massive systemic impacts of COVID-19, historical datasets may no longer reflect the current reality. In this talk, Aman will cover: 

  • How AI systems react to extreme events?
  • How can we proactively monitor and identify changes?
  • Best practices around retraining ML models 
  • Approaches for tackling future challenges

Aman Sharma, Customer Facing Data Scientist, DataRobot

Speaking:

12:30

Presentation: MBIE’s experiences sourcing innovative data and producing actionable insights to enable New Zealand’s COVID19 response and economic recovery

Speaker:

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

Presentation: MBIE’s experiences sourcing innovative data and producing actionable insights to enable New Zealand’s COVID19 response and economic recovery

January 18 | 12:30 - 12:55

Speaker:

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

Speaking:

1:00

Discussion Group A: Getting up the value chain - How do you demonstrate value in a time of uncertainty?

  • Moving up the value chain to ensure you data and analytics team is achieving its full potential
  • How to move from reporting function to strategic analytics function
  • Working on the most important business problems
  • The idea of analytics team being and order taker – need to become a partner in business problem solving that can be commoditised
  • During a recession, how would you run business as usual data teams do on a smaller budget?

Panellists:

Jan Sheppard, Chief Data Officer, Tertiary Education Commission                                                                                                  

Kari Jones, GM, Data & Analytics, New Zealand Post

Discussion Group A: Getting up the value chain - How do you demonstrate value in a time of uncertainty?

January 18 | 13:00 - 13:30

  • Moving up the value chain to ensure you data and analytics team is achieving its full potential
  • How to move from reporting function to strategic analytics function
  • Working on the most important business problems
  • The idea of analytics team being and order taker – need to become a partner in business problem solving that can be commoditised
  • During a recession, how would you run business as usual data teams do on a smaller budget?

Panellists:

Jan Sheppard, Chief Data Officer, Tertiary Education Commission                                                                                                  

Kari Jones, GM, Data & Analytics, New Zealand Post

Speaking:

1:00

Discussion Group B: Q&A with Anwar Mirza, Data Strategy & Governance, FedEx Express

Discussion Group B: Q&A with Anwar Mirza, Data Strategy & Governance, FedEx Express

January 18 | 13:00 - 13:25

Speaking:

Track B - Strategy & Analytics Implementation Day 2

1:35

Case study Building Data and Analytics Self-service into your organisation

  • Ensuring your governance and data literacy fundamentals are in place
  • 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?

 

Speaker:

Ali Khan, Head of Data, Auckland District Health Board

Case study Building Data and Analytics Self-service into your organisation

January 18 | 13:35 - 14:00

  • Ensuring your governance and data literacy fundamentals are in place
  • 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?

 

Speaker:

Ali Khan, Head of Data, Auckland District Health Board

Speaking:

Track A - Excellence in Governance

1:35

Presentation What does a good data governance structure look like?

  • Who should be part of the committee?
  • What frameworks should be used?
  • Strategies for ensuring data governance is prioritised within your organisation
  • What are the minimums any business needs to do to get a good foundation?
  • How do we handle PII (personal identifying information)?

Speaker:

Tony Aitken, GM Data and Analytics, Auckland Transport

Speaking:

Presentation What does a good data governance structure look like?

January 18 | 13:35 - 14:00

  • Who should be part of the committee?
  • What frameworks should be used?
  • Strategies for ensuring data governance is prioritised within your organisation
  • What are the minimums any business needs to do to get a good foundation?
  • How do we handle PII (personal identifying information)?

Speaker:

Tony Aitken, GM Data and Analytics, Auckland Transport

Speaking:

Track B - Strategy & Analytics Implementation Day 2

2:05

Case study ML and predictive analytics - getting your business ready

  • Creating predictive data sets for better customer experience
  • Experience with the ML models we use for demand forecasting and some earlier work on churn.
  • The data sets and business approach and what is needed to be successful
  • How do we create data products that have a lifecycle rather than one off pieces of work?
  • What data architecture is required?
  • How do we get the machine to detect changes and forecast the future?

Speaker:

Kieran Turner, Head of Data and Analytics, Z Energy Limited

Case study ML and predictive analytics - getting your business ready

January 18 | 14:05 - 14:30

  • Creating predictive data sets for better customer experience
  • Experience with the ML models we use for demand forecasting and some earlier work on churn.
  • The data sets and business approach and what is needed to be successful
  • How do we create data products that have a lifecycle rather than one off pieces of work?
  • What data architecture is required?
  • How do we get the machine to detect changes and forecast the future?

Speaker:

Kieran Turner, Head of Data and Analytics, Z Energy Limited

Speaking:

Track A - Excellence in Governance

2:05

Case Study: Data led partnerships - How the result is greater than the sum of its parts

  • What public datasets are out there and what are the barriers to their use.
  • Augmenting public data sets with new information for commercial outcomes
  • Introducing co.nz case-studies of how sharing data and analytics across organisations can generate new value 

Speaker:

Tom Lintern, Head of Commercial, Chief Data Scientist, homes.co.nz

Speaking:

Case Study: Data led partnerships - How the result is greater than the sum of its parts

January 18 | 14:05 - 14:30

  • What public datasets are out there and what are the barriers to their use.
  • Augmenting public data sets with new information for commercial outcomes
  • Introducing co.nz case-studies of how sharing data and analytics across organisations can generate new value 

Speaker:

Tom Lintern, Head of Commercial, Chief Data Scientist, homes.co.nz

Speaking:

2:30

End of Day Three Chair’s Remarks

End of Day Three Chair’s Remarks

January 18 | 14:30 - 14:30

Speaking: