2020 Business Intelligence Summit

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

4 - 5 Aug 2020Grand Millennium , Auckland
Event Details
  • Conference
  • Super saver price $2499 + GST
  • Super saver ends on 10 Jul
  • Last minute price $2799 + GST
  • 4 - 5 Aug 2020
  • Buy 1, get 1 free (price per paying delegate)
  • Super saver price from $2499 + GST
  • Super saver ends on 10 Jul
  • Last minute price from $2799 + GST
  • 4 - 5 Aug 2020

Agenda

8:30
Registration and coffee
9:00
Opening remarks from the Chair
Jan Sheppard, Chief Data Officer, Tertiary Education Commission
Development of BI as a business function
9:10
Opening Address: Development of the BI landscape – Is it “just” a tool or has it developed to a business function?
  • What are the current and future technologies, trends and developments in BI and understanding what is relevant for your business? 
  • Why BI is now more critical than ever before- understanding the changes and opportunities that have arisen and how BI can provide critical insights 
  • How BI played a part in the COVID 19 pandemic and what role is it playing now in reviving businesses 
  • Assessing BI as a business function and how it can add value to overall business outcomes 

 

9:50
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, Data Scientist & Technical Lead, NZ Transport Agency
10:30
Morning break
11:00
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
11:40
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
12:20
Lunch break
1:20
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
2:00
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
2:30
Afternoon break
Offline and Online Data Management
2.50
Exploring the need for data security: Securing your data from emerging risks
  • 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 to mitigate the security challenge of moving big data offline vs. online – what are the regulatory requirements and what is most suitable for your business? 
3:30
Harnessing the power of BI data insights for crisis management of internal processes
  • Understanding the advantages of employing BI software for successful crisis management 
  • Making fast and accurate decisions through BI data insights to effectively navigate uncertain times 
  • Applying BI data insights to stimulate problem solving and encourage innovation as a solution to emerging market conditions 
4:10
What does a data scientist do in the BI and Analytics team?
  • 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
4.50
Summary remarks from the Chair & Networking Drinks
9:00
Welcome back from the Chair
9:10
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
9:50
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
10:30
Morning break
11:00
Why encryption is no longer enough - cyber security and the rise of threats to data

As malware, ransomware, and other cyber threats increase significantly, organisations are needing to have a stringent plan in place to support the security of data. This session will examine case studies of when data security has failed, the outcomes and the lessons we can learn. 

Ian White, General Manager - Cybersecurity, ZX Security Ltd
11:40
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
12:20
Lunch break
1:20
Case study: Strategy to merge and integrate data from different systems
  • 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
Sofia Ng , Business Intelligence Lead, Port Otago
Future Outlook of Emerging Technologies and BI
1.50
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
2:30
Afternoon break
2.50
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
3:30
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
4:10
Closing remarks from the Chair and end of conference
  • Conference
  • Super saver price $2499 + GST
  • Super saver ends on 10 Jul
  • Last minute price $2799 + GST
  • 4 - 5 Aug 2020
  • Buy 1, get 1 free (price per paying delegate)
  • Super saver price from $2499 + GST
  • Super saver ends on 10 Jul
  • Last minute price from $2799 + GST
  • 4 - 5 Aug 2020
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