2020 Business Intelligence Summit

Embracing BI as an integral part of business success

4 - 5 Aug 2020Heritage, Auckland
Event Details
  • Conference
  • Super saver price $2499 + GST
  • Super saver ends on 5 Jun
  • Last minute price $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?
  • Data literacy - analysis and analysts moving beyond creating reports to providing decisions
  • Data security - reviewing, understanding and implementing concepts from Office of the Privacy Commissioner, Privacy by Design and other sources of leading thought to design privacy, confidentiality and security
  • Data availability - Emerging themes of data virtualisation and data fabrics as the hype cycle for cloud adoption
Chris Collins , Manager of the Data Office, AIA NZ
9:50
Case study: Traditional BI vs. modern BI – what works best and why?
  • Defining traditional BI and modern BI
  • Why traditional BI needs to evolve - problems businesses face 
  • How can modern BI solve these problems?
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
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
  • 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 implementation?
  • Explore how a data-driven strategy can support process optimisation and automation
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
2:40
Afternoon break
Offline and Online Data Management
3:10
Data security – how to secure your data from emerging cybersecurity risks
  • Exploring the need of data security - what data needs to be secured and why?
  • 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?
  • Is your business ideally equipped for potential cyber threats?
Chetna Chaudhari, Lead Data Engineer, Kotahi Logistics LP Ltd
3:50
Case study: Increasing data quality throughout the enterprise and efficiency of internal processes
  • Ensuring that the existing data is fit for purpose
  • Reviewing techniques and processes for data quality management
  • To what extent can predictions, reports and decisions be made based on trusted data?
  • Winning hearts and minds through sustained business change management
Kalyn De Castro, Data Quality Manager, FMG (Farmers Mutual Group)
4:30
What does a data scientist do in the BI and Analytics team?
  • How can data scientists help achieve business success in a agile environment?
  • 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
5:10
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
Case study: Visualising data for predictive analytics
  • What are the latest technologies, trends and developments in data virtualisation?
  • Defining metrics that are relevant to build a dashboard
  • Enabling an increase in interactive communication through dashboards
  • Learn how to design and tailor your dashboard for significant target groups
Andrey Rumyantsev, Head of Insights, Serato
11:30
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
12.00
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
  • Retaining, hiring and training staff to fulfil skills gaps and requirements around data and analytics
Arvin Chand, Data Engineer, New Zealand Transport Agency
12:30
Lunch break
1:30
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
2:00
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
2:40
Afternoon break
3:10
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
Kitty Ling , Senior Manager Analytics Transformation, Woolworths NZ
3:50
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 
Phillip Higgins, Business Consultant, Higgins Consulting
Dr Julian Seidenberg, Chief Artificial Intelligence Officer, McCarthyFinch
4:30
Closing remarks from the Chair and end of conference
  • Conference
  • Super saver price $2499 + GST
  • Super saver ends on 5 Jun
  • Last minute price $2799 + GST
  • 4 - 5 Aug 2020
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