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Overview of the event

Visualization is both an art and a science, in general terms it describes any effort to help people understand the significance of data by placing it in a visual context. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

We intend to give a platform for users across all the various domains of data analysis to share their experiences, techniques, opportunities, challenges and exciting possibilities as well as highlight the most triumphs and potential pitfalls

Data Visualisation Conference in Auckland will bring together industry professionals and thought leaders from the field of Data Visualisation and Data Analytics. It will help you in understanding and implementing data visualization in your business/for your client. It will also provide an excellent opportunity to interact and network with some of the top minds.

Machine Learning is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn from data, without being explicitly programmed.

The "deep" in "deep learning" refers to the number of layers through which the data is transformed. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to its original goals. In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation.

Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Our Past Speakers

Dr. William Yeoh


Deakin University

Louis Liu

Data Scientist


Neel Bhattacharya

Sr. Management Consultant


Prashant Natrajan

Transformational Tech Leader, Principal - AI & Analytics

Deloitte, Australia

Alexe Bojovschi

Innovation Mentor

University of Melbourne

Aram Cargill

Managing Director


Conference Schedule

Data Visualisation, Machine Learning and Deep Learning Day (14th November, 2019)
X Topic Abstract

Coca-Cola’s overarching mantra for data insights is simple - ONE source of truth. This ensures that all markets align their local consumer research and reporting metrics (across 330+ brands, 100+ data sources and 75+ agencies) to Coca-Cola’s global protocols, so they can deliver globally consistent results to their corporate team.
With the introduction of Data Visualisation and socialization tools over the last decade and an increased appetite for different reporting options, Coca-Cola and Infotools created a data-sharing framework to feed both internal and external reporting platforms.
This paper will share the journey from simple database transfers for specific markets to complex regional API uploads, examples of internal and external reporting, learnings along the way and plans for the future.
Along the way, we introduce the Infotools’ consiglieres who have ensured highest data quality and protocol compliance in Coca-Cola’s Global tracker since 2006.
Many of the issues and problems that we traditionally help to solve are behind the scenes and hardly ever get talked about. The local Coca-Cola research teams do not always have the expertise or the time to focus on how to resolve the challenges posed by any tracking study, such as unexplained jumps in the data, tracker results that are contrary to the business reality,or managing a change in the local field agency.
Field agencies from around the world benefit from learnings from different countries.Local markets save considerable amounts of money and human resources, and preserve their trends by not having to repeat other countries’ mistakes.
Using smart technology is future-proofing the global tracker and business insights.

Three Key Takeaways
Data quality is non-negotiable; one source of data truth ensures consistency; from data to delivery across multiple streams of data across borders, cultures and consumer groups
The presentation is a combination of two global papers we have previously presented – links to these are here

X Topic Abstract

In this session, different ways of creating a custom visual will be briefly presented. Then a deep discussion and demo on how to work with Chartivulator will be demonstrated. The audience will learn how to work with these tools and how to use the created visually in Power BI desktop as a new pbix file.

X Topic Abstract

I will look at how Fraedom has been using Data, Data Science and Data Visual to understand product usage and user behavior better, supporting product and customer experience (CX) initiatives, and improve the CX journey.

Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship
Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at,

Our Sponsors

Media Partners


Digital Marketing Partner

Marketing Partner

Promotional & Media Partners


Our Past Sponsors

Media Partner


Our Speakers

Horst Feldhaeuser

Group Services Director


Leila Etaati

Data Scientist and BI Consultant


Dr. David Duan

Data Science Stream Lead & Principal Data Scientist


Speaker name


Company name

Want to become Speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

NZD 362

Till July 27
Group of three or more(Standard)

NZD 434

Till November 14
Individual(Early Bird)

NZD 577

Till October 14
Individual (Standard)

NZD 722

Till November 14

Our Testimonial


Who can attend Data Visualisation, Machine Learning and Deep Learning Day in Auckland?

• Data Engineers/Developers / Scientists
• Analytics Professionals
• Startup Professionals
• Scientists/Researchers
• Professors
• President/Vice president
• Chairs/Directors

And last but not the least……….
Anyone interested in Machine Learning & thrives to make the future developed and better

Why to attend Data Visualisation, Machine Learning and Deep Learning Day in Auckland?

Understand the state of development of Machine learning by exchanges, clearing houses, central counter parties and payment systems, and what it means for you.

What will you learn about?

Detecting where underlying problems and frictions exist in your organisation that will be alleviated by Machine learning technologies. Using Machine learning as a tool for innovation across your organisation

Are there any prerequisites to attend this program?


Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.