Data Science Summit

Design and communicate meaningful data insights to influence key stakeholders and enhance organisational efficiency

  • April 30th - May 3rd, 2019
  • Rydges World Square, Sydney


Download the brochure

-Demonstrate the value of data science to key stakeholders
-Establish and optimise your data business strategy
-Improve individual, team and organisational efficiency
-Master the art of data communication & storytelling


Gaj Premnath

As a financial services professional, Gaj has accumulated over 15 years worth of experience in the finance and banking industry, having worked with organisations such as Challenger, NAB (Advantedge), Genworth Australia and more recently Veolia. During this time Gaj has acquired essential skills in data management (reporting, analytics and governance), change management and people leadership. In October 2018 Gaj moved into the role of Chief Data Officer with Veolia, where he will lead the company to continue to improve Veolia's positive impact on the environment.

Chief Data Officer

  • Sveta Freidman
    Director, Data Analytics and Science
  • Hendra Suryanto
    Chief Data Scientist
    Rich Data Corporation
  • Scott Verrall
    Head of Data Analytics and Research
  • Sheetal Patole
    Chief Data and Analytics Officer
    Macquarie Banking and Financial Services


Become a Sponsor


Become a Partner



Event Starting In!

9 Days

Prices start at


More people? More savings!

3 - 4




5 - 9




10 - 14




15 +





Download the brochure
Meaningful data storytelling
Your data as an asset
Digital and data - The intersection of innovation
The application of AI in complex risk analysis
How to create enduring data-driven value
How to build models and analysis infrastructure from scratch
Data strategy part 1 - Data collection, storage and access
Harness your competitive advantage by leveraging data analysis
Communicating with influence and clarity
Data strategy part 2 - Finding insight through analysis
Tell enthralling stories through data visualisation
Extract actionable insights from data anarchy
Develop domain expertise and navigate company politics as a data pro
Predicting NSW's future water resource needs
Build the right data team, build the right culture
Data for good - From privacy to ethical governance frameworks
Data strategy part 3 - Driving data-driven change
Your data future - The end is just the beginning
Create, optimise and mature your data
Pre-Summit Workshop -


Your ability to master the art of data storytelling will demonstrate the difference between an organisation that has data analysis paralysis and one that truly values, digests and acts on data outcomes. Your first step to success as a data scientist is communicating complex, technical language to non-technical business units.

This workshop will teach you how to establish your audience's motivations, present your data in meaningful ways and learn essential presentation skills for stakeholder engagement.

Understand what’s motivating your audience

  • Build strong relationships with internal stakeholders
  • Ask the right questions to establish clarity
  • Engage business units and gain buy-in

Craft a narrative around your data

  • Identify and expand on your core data statement
  • Define your audience’s primary goal
  • Bridge technical language with non-technical outcomes

Data visualisation tools to emphasise your results

  • Select the right visualisation to present your analysis
  • Understand the data hierarchy to simplify your story
  • Explore the best data designs

Presentation skills to help you win others over

  • Guarantee an engaged audience when presenting
  • Strategies to communicate with influence
  • Ensure shared ownership among change managers and data teams

  • Felipe Rego Data Science and Analytics Partner Felipe Rego

Conference Day 1 -

Case Study

Using data effectively should be an important part of any business' strategy, however, rarely is data assigned a value. In this session you'll hear how you can leverage the value-add of data science to your company's operations.

- Create a data ecosystem where data is linked to tangible benefits

- Collaboration between data and analytics, and with the business to bring them on the journey

- Explore the process of problem solving, solution design and technology builds

  • Sheetal Patole Chief Data and Analytics Officer Macquarie Banking and Financial Services

Case Study

Our opening keynote presentation will explore how digital builds from data to achieve outstanding results, deliver world-class customer experiences and enhance business outcomes.

-Why do we make data-driven decisions?

-Increase collaboration between data teams

-Learn about the technology and strategy that enables deployment

Case Study

You need a strong driving motivator behind machine learning to process big data and extract valuable insights. This session will help you understand your purpose and tailor your analysis to suit.

-Overcome data holes

-Leverage AI to streamline processes and product development

-Structure your data to suit business activity

  • Hendra Suryanto Chief Data Scientist Rich Data Corporation

Case Study

Enduring value is created when there is a universal commitment to your organisation's vision. This interactive session will help you understand how to create internal alignment and give your organisation the best chance of success.

-Build internal engagement for analytics

-Streamline change management

-Define your organisation's purpose

  • Adam Rowland Founder, Chief Information Officer and Former Executive Manager for National Centre of Longitudinal Data Better Intelligence

Case Study

Every data model is different, so you must learn how to improve the consistency and success of your data mining results.

-The critical resources you need to succeed

-Steps for model testing

-How to streamline your data model

  • Sveta Freidman Director, Data Analytics and Science

Break-Out Session

Explore the components of a world-class data-driven business strategy.

  • Daniella McKenzie Director, Formerly Executive Director ICT at DFSI and Telstra Independent


Data analytics can supercharge your business by addressing your immediate needs and future-proofing your organisation through innovation. This panel explores the setups, strategies and structures your organisation needs for optimal data leverage.

-Determine your organisation’s data strategy

-Understand what non-technical business units are looking for from data

-Increase synergy between technical and non-technical units

  • Scott Verrall Head of Data Analytics and Research HCF

  • Craig Napier Program Director, Business Intelligence University of Sydney

  • Monte (Bhupinder) Kainth Principal Manager, Organisational Integrity and Reporting Transport for NSW

  • Angeles Miranda Head of Pricing, Retail Fuel Caltex

Expert Commentary

Data analysis is an objective discipline, but you must be able to present your ideas and results to key stakeholders with influence if you wish to be an effective change-maker. In this interactive session, you'll learn how to make an impact and communicate with confidence.

-Discover the psychology behind the decision-making process

-Identify effective channels for communication

-Explore influence through the power of voice

Break-Out Session

Reflect on your data strategy and devise a plan to make it more valuable.

Conference Day 2 -

Case Study

Communicating data in meaningful ways to non-technical stakeholders is one of the most challenging aspects of data analysis. Hercules will explore how you can use data visualisations to generate meaning and value across your organisation.

-Exemplary data visualisation models

-How to use annotations and sequences to build suspense

-Create emotional truths with objective data

  • Hercules (Iraklis) Konstantopoulos Senior Data Scientist Atlassian

Case Study

Many organisations generate large amounts of structured and unstructured data, locked in separate silos that become unmanageable. This session explores the process of 'data munging' and how you can extract value from chaos.

-Pull data points from different sources

-Develop dashboards to draw insights

-Explore access, governance and data literacy 'grey areas'

  • Lorenzo Vigentini Senior Lecturer and Academic Lead Educational Intelligence and Analytics University of NSW


Data insights are often lost in the melting pot of technical and non-technical business units. In situations like this, industry expertise is crucial to remain relevant when conversations become clouded with other motivations.

-Build better relationships with decision makers

-Learn to stay alert, speak up and confront unfair resistance

-Align your data strategy to company values

  • Ujjaval Mehta Senior Analyst Sydney Water

  • Rob Wilkins Leader, Information Systems Management Department of Education NSW

  • Jon Searle Solutions Architect dataIdeas and NBN

Case Study

This session will delve into the Catchment Needs Assessment Framework, a collaboration project across government and UTS, which is using big data to improve the allocation of water resources.

-Explore how to test new machine learning techniques

-Understand how data sets can be recycled

-Turn insight into tangible results

  • Danielle Baker Director, Water Analytics Department of Industry NSW

  • Shoshana Fogelman Business Relationship Manager, Faculty of Engineering and Information Technology University of Technology Sydney


Explore ways to increase your job satisfaction as a data professional and create the right environment to have insightful breakthroughs.

-Define the data science role

-Explore different structures of data teams

-Where should the data function live and report into

  • Gaj Premnath Chief Data Officer Veolia

  • Karl Strichow Director, Workforce Planning Australian Taxation Office

  • Tania Churchill Director, Enterprise Analytics Australian Transaction Report and Analysis Centre

Case Study

Data drives innovation and changes the makeup of business, government and society. As such, your organisation should consider creating sturdy frameworks for managing and accessing data.

-Collect, share and analyse data responsibly

-Develop ethically appropriate tools, models and frameworks for data mining

-Explain the importance of governance frameworks to technical and non-technical stakeholders

  • Philip Uys Director, Learning Technologies Charles Sturt University

Break-Out Session

Develop the skills to own your data function and be accountable for implementing change projects.

  • Daniella McKenzie Director, Formerly Executive Director ICT at DFSI and Telstra Independent


Wrapping up a massive two days, this session will help you focus your attention on what's going to add the most value to your team and organisation.

-Reflect on key highlights

-Identify your pain points

-Plan how to overcome critical challenges

  • Daniella McKenzie Director, Formerly Executive Director ICT at DFSI and Telstra Independent

Post-Summit Workshop -


Developing a data strategy is a critical step for any organisation looking to harvest the benefits of a data function. A data strategy will also help solve why many data professionals feel their work is undervalued. Creating and refining your data strategy will provide renewed direction to the work you do as a data scientist and will result in improved, more meaningful outcomes.

This interactive workshop explores the four phases of data strategy creation and will provide vital information for data technicians who feel their activity lacks direction, struggle to get buy-in or feel undervalued. You’ll develop a roadmap to tailor a data strategy for your business unit, organisation or data team. 

Streamline data capture

  • Understand the question you’re looking to answer through data science
  • Investigate whether the data exists and how you can access it
  • Build relationships with key stakeholders

Storing new data and accessing previous data

  • Deal with dataset anomalies
  • Prevent data swamps and avoid other forms of data deterioration
  • Strategies to munge data with improved accuracy

Data analysis

  • Discern practices for analysing data
  • Validate your model against and identify holes
  • Create stories using data that will improve buy-in

Deploy analysis to improve outcomes

  • Understand the principles of productive change management
  • Create roadmaps that hold change owners accountable
  • Relate data-driven outcomes to intangible benefits

  • Felipe Flores Founder and Podcast Host, Formerly Head of Data Science, ANZ Data Futurology


Rydges World Square, Sydney

389 Pitt Street, Sydney, NSW, 2000, Australia

02 8268 1888

* Terms and conditions apply

All Event Categories

Find Your Next Event