CDAO New Zealand

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)

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 

• Moving from a traditional CIO role to include data and analytics strategy
• Data ops approach to help talent diversity horizontally

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

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

• 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

• 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

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

Opportunity to continue the conversations in the virtual exhibition!

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

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:

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

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

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

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

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

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

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

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:

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

Speaker:

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

• 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