Data Visualisation Workshop

Tools, techniques and strategies to create scalable, interactive and actionable data visualisation solutions

  • April 16th - 18th, 2019
  • Cliftons Auckland

OVERVIEW

Download the brochure

- Create scalable, interactive and actionable data visualisation solutions
- Collect, input and visualise data using the latest tools
- Understand the power of visual storytelling
- Simplify information and understand the story of your data

SPEAKERS

Phillip Higgins

Phillip is a leading consultant in New Zealand for Big Data, analytical projects and translating data into powerful, influential stories. With over 15 years’ experience specialising in data science disciplines, including visualisation, across multiple industries, from transport and financial services to energy and independent consulting. His experience covers specialist and generalist implementation in the areas of data visualisation, information and digital strategy, data science and analytics.



Consultant
Digital Architect

SPONSORS

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PARTNERS

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PRICE & DISCOUNTS

Hurry!

Current discount ending!

26 Days

Prices start at

$2995*

More people? More savings!

3 - 4

Delegates

10%

Discount

5 - 7

Delegates

15%

Discount

8 +

Delegates

17%

Discount

THE SCHEDULE

Download the brochure
Workshop Day One
Workshop Day Two
Workshop Day Three
Data Visualisation Workshop - 16 Apr

Workshop

Telling compelling action-oriented stories with data

- Learn the power of narrative and how to effectively communicate with data

- Understand the power of visual storytelling

- Making the right graphical choices and controlling the narrative


Understand the power and purpose of data visualisation

- History of data visualisation, recent developments and future outlook

- Visualisation to drive decision-making for your department

- Knowing your why and what your data needs to achieve


Tapping the five pillars of an organisation’s data science and analytics maturity

- Making sense of your organisation’s analytics capacity to create compelling data vis

- Plotting a roadmap from business strategy to data visualisation

- In-depth understanding of what makes successful organisations do data right


Connecting the dots

- Assess various use cases and meaning of data vis solutions

- Inputting data effectively and the importance of tool selection

- Design fundamentals for data visualisation

  • Phillip Higgins Consultant Digital Architect

Workshop

Data design fundamentals and visualisation literacy

- Formats for data visualisation and presentation - chart types, animation, infographics

- Picking the right visual language to influence your audience

- Simplifying the data to tell your story more effectively


Deciphering key components of data visualisation

- Understanding graph theory and colour theory 

- How different shapes and objects are perceived and create meaning

- Practical interactive activities exploring use cases of data visualisation


Software, tools and dashboards

- Explore information presentation tools and software options

- Differences between different types of visualisation, tools and best practice

- Overview of Tableau Desktop, R, Power BI and more


Dashboards design and information hierarchy

- Selecting the right option and organising your data and dashboards

- Working with complex charts and data visualisations

- Creating a clear and accessible model

  • Phillip Higgins Consultant Digital Architect

Workshop

Data science and analytics fundamentals

- Explore the fundamentals of analytics behind high impact data visualisation 

- Tackling challenges and creating solutions using basic data science

- Working with predictive analytics models and basic algorithms


An introduction to predictive analysis and insights automation

- Data science fuelling forecasting and optimising operations

- Explore machine learning solutions, market segmentation, recommendation engines

- Linking predictive analytics and insights to data visualisation


Scalable, interactive and actionable data solutions

- Explore common pitfalls and hurdles for successful operational management 

- Ensure the data model can be understood, maintained, and updated

- Ensure technical changes comply with strategy and best practice


Data visualisation in action

- Revisit the main themes, tools, techniques and strategies

- Build a practical action plan to apply learnings to your organisation

- Group discussion, final reflections and insights

  • Phillip Higgins Consultant Digital Architect

GETTING HERE / THE LOCATION

Cliftons Auckland

Level 4, 45 Queen Street, Auckland, 1010, New Zealand

+64 9-374 0999

* Terms and conditions apply

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