2020 Business Intelligence Summit

Critical insights in uncertain times with BI to innovate, adapt and thrive

Event Details


Registration and coffee
Opening remarks from the Chair
Jan Sheppard, Chief Data Officer, Tertiary Education Commission
Development of BI as a business function
Opening Address- Business Intelligence and Data Security: Opportunity vs Risk
  • Is your business ideally equipped for potential securing risks in any working environment?
  • Lessons learnt from the Covid-19 crisis of data breaches and security challenges – what is now considered the best practices?
  • How digital transformation is driving cyber security – and what considerations to make when moving data and systems to the cloud.


Hilary Walton, Chief Information Security Officer (CISO), Kordia
Ensuring fairness – machine-learning, algorithms and modern business ethics
  • What does ethical AI and data use look like? 
  • Examining the underpinning ethical values that guide AI deployment and development 
  • Transparency, trust and privacy – frameworks for data protection and ethical use of AI 
Dr Vikash Kumar, Manager, Data Scientist, NZ Transport Agency
Morning break
Case study: Efficient delivery of data led insights
  • Advanced analytics to get a better understanding of customers so they can be targeted with relevant offers

  • Making smart and business crucial decisions by linking customer experience to technology investments 

  • Insights from the pandemic- Measuring data shifts to understand changes in customer behaviour and to ensure relevance of ML models 

Anshuman Banerjee, Chapter Lead, Business Insights & Advanced Analytics, Spark New Zealand
Case Study: Investigating the cultural and digital transformation measures required for successful change management
  • Contextualising the before and after picture of shifting towards an agile, DevOps construct within modern cross-functional and autonomous squads  
  • Understanding the measures required to create active and effective environments to support change and to make your business future proof

  • Creating the workforce capacity and capability to deliver a common skill-level by exploring a variety of training opportunities 

  • Looking into required fundamental leadership skills to enable change and success in a fast-moving and agile environment 

Philip Hanson, Platform Owner - Analytics and Marketing platforms, ASB Bank
Lunch break
Case study: Journey to the successful integration of BI
  • "Better Never Stops!" - Managing for transition, transformation and change at Aspire2
  • Will a BI platform solve all our problems? Why the traditional approach wasn't going to work for Aspire2 - and probably won't for you either
  • The challenges of building Trust, Quality and Empowerment
  • Patterns, tools and platforms to solve for problems common to our business, and all others like it
  • Doing it all on a dime! – achieving change with minimal and existing resources
  • How is our strategy paying off for us?
Pieter Lootsma, Business Intelligence Manager, Aspire2 Group
Case study: Moving towards a data-driven strategy
  • What underlying factors needed to be considered to transform a business strategy?
  • What subsequent resources and measures are required for successful implementatio
  • Explore how a data-driven strategy can support process optimisation and automation 
  • How did data support decision making in the pandemic crises and how is it supporting the reboot of businesses? 
Tristin King, Founder, 6Risks.com & Kowhai – Contract Project Lead, TANZ eCampus
Shane Wohlers, Manager - Business Intelligence & Learner Analytics, TANZ eCampus & Director - Learning Innovation and Insight, Eastern Institute of Technology
Nina Straathof, Data Analyst, TANZ eCampus
Afternoon break
Offline and Online Data Management
Business Intelligence and the new normal of data security
  • Successful business intelligence creates an attractive target for cyber-criminals
  • The security landscape has shifted significantly recently – especially since covid-19. What does this mean for business intelligence?
  • What are the security implications of putting business intelligence in the cloud?
Doug Newdick, Business Technologist and Security Consultant, Axenic
The importance of data scientists to help achieve business success in an agile environment
  • What does a data scientist do in the BI and Analytics team? 
  • Utilising data insights to effectively navigate volatile market conditions in a crisis 
  • Communicating insights effectively to influence good decision making 
  • How to build end-to-end data solution 
  • Looking into best practice of internal customer engagement   
Dr Kristy Su, Senior Data Scientist, New Zealand Post
Summary remarks from the Chair & Networking Drinks
Welcome back from the Chair
How will the future of BI look like with emerging technologies disrupting the industry?
  • Interrelationship of emerging technologies e.g. advanced AI & IoT devices and BI – exploring influence of technology on architecture, while complying to increased regulation
  • Digital fairness – imbalance of access due to imbalance of resources?
  • Forecasting the fast-paced tech and digital environment to firstly develop a social consensus and most importantly increase societal acceptance
Penelope Rae, Business Director, Beca
Building an effective BI strategy with your team
  • Funding, prioritisation and escalation
  • How users engage with BI and processes to ensure continuous delivery
  • Reliable secure data for reporting and analytics
  • Creating a vision for your BI team
  • Personal growth and development of your people
  • Building a high performing, driven team that works together
  • Diving into Data Science
Dave Richards, Head of Business Intelligence, St John New Zealand
Morning break
Why encryption is no longer enough - cyber security and the rise of threats to data

Data can have significant value when used correctly. It can also have significant consequences when used unethically. This session will examine case studies of when data has been abused, the outcomes and the lessons we can learn.

Ian White, General Manager - Cybersecurity, ZX Security Ltd
Addressing skills requirements – why being data literate is important across business functions
  • Looking outside of the analytics teams – bringing literacy across the organisation to maximise data outcomes 
  • Why dashboards are just the beginning – encouraging and supporting staff to use data outputs to improve their roles, productivities and outputs 
  • Understanding skills gaps within teams and the requirements around data and analytics 
Arvin Chand, Data Engineer, New Zealand Transport Agency
Lunch break
Case study: Strategy to merge and integrate data from different systems
  • Highlighting the benefits of successful data merging including increased self-service BI, supporting metadata management, data lineage and data governance 

  • Understanding platform architecture for data integration – system design, main- and subcomponents, standardisation and its implications  

  • Integration failure – tips to discover wrongly and untrustworthy data early and explore opportunities to reduce failure 

  • Using modern approaches to enhance data to give users a more comprehensive perspective 

  • Creating and maintaining a centralised API for small bespoke solutions with limited or non-existent integration support 

Sofia Ng , Business Intelligence Lead, Port Otago
Future Outlook of Emerging Technologies and BI
  • Looking outside of the analytics teams – bringing literacy across the organisation to maximise data outcomes
  • Why dashboards are just the beginning – encouraging and supporting staff to use data outputs to improve their roles, productivities and outputs
  • Retaining, hiring and training staff to fulfil skills gaps and requirements around data and analytics
Exploring the interrelationship between: Agile, BI & DevOps
  • Exploring Agile, Business Intelligence/Insights, DevOps
  • Outlining best practices, challenges and opportunities
  • Linking all three together to provide Enterprise BI capability
Stuart Pattison, Business Intelligence Lead, AIA NZ
Afternoon break
Looking into how AI can impact your business operation
  • Understand how to enhance systematic knowledge management and digital collaboration to create the fundamentals for deploying AI
    • Training to enable digital workplace
    • Customisation of digital workplace and collaboration solutions
    • AI build upon strategically defined knowledge structures
  • Best practices of computer vision, automation, cognitive computing and machine learning techniques e.g. deep learning, real-time style transfer
  • How a business can best utilise data, analytics and technology to accelerate the design of solution during uncertain times 
Kitty Ling , Senior Manager Analytics Transformation, Woolworths NZ
AI Leaders Panel: Practical Artificial Intelligence – beyond the hype for business outcomes

No other technology trend has caused a wave quite like the rise of Artificial Intelligence, Machine Learning and Augmented Intelligence. This panel will examine the rise of these technologies and the role they can play in augmenting your IT strategy. 

  • Case studies from implementation – small- and large-scale implementation and areas for rapid improvement within existing IT strategies 

  • Beyond chat bots – how you can augment your customer facing processes through smart AI deployment 

  • Why data is still king – fine tuning your data practices to enable practical AI applications across your business functions 

  • When data is lying – how to avoid situations where data and AI models mislead countries and businesses into making the wrong decisions 

Phillip Higgins, Business Consultant, Higgins Consulting
Dr Julian Seidenberg, Chief Artificial Intelligence Officer, McCarthyFinch
Closing remarks from the Chair and end of conference
  • 4 - 5 Aug 2020
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