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


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-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


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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
Harness your competitive advantage by leveraging data analysis
Communicating with influence and clarity
Data strategy part 1 - Data collection, storage and access
Information security through privacy-preserving computing
Tell enthralling stories through data visualisation
Extract actionable insights from data anarchy
Data strategy part 2 - Finding insight through analysis
Develop domain expertise and navigate company politics as a data pro
Predicting NSW's future water resource needs
Entity resolution and data matching - Fast, scaleable and accurate
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 - 30 Apr


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

Conference Day 1 - 1 May

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

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

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

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


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

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

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

Case Study

To use data confidently, you must first address any security concerns. This session will explore how you can continue to extract data insights while retaining its integrity.

-Determine if the Privacy Act applies to your data

-De-identify and anonymise data while retaining its integrity

-Preventing the fallout of privacy breaches

Conference Day 2 - 2 May

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

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'

Break-Out Session

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


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

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

Case Study

Being able to digest complex sources and leverage that data in subsequent activities is something which will help you paint a better picture of your customer, community, or in this case, criminal.

-AUSTRAC's innovative solution to help detect, deter and disrupt fraud

-Link messy, misleading and incomplete data from disparate systems

-Examples of effectively automated bulk data-matching between government agencies


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

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


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


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

Post-Summit Workshop - 3 May


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


Rydges World Square, Sydney

389 Pitt Street, Sydney, NSW, 2000, Australia

02 8268 1888

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