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Details

🧠 WHAT YOU'LL LEARN

  • How to organize your dataviz design process to make it fun and efficient.
  • Why descriptive and predictive analytics aren't often good enough in the commercial reality.

📅 AGENDA

17.30 - 17.45 Intro & welcome
17.45 - 18.15 Evelina Judeikyte - Practicing the Craft: Data Visualisation Design
18.15 - 18.45 Benjamin Maskell - Public Sector Data Platforms
18.45 - 19.00 Show & tell

⚡DETAILS

Practicing the Craft: Data Visualisation Design
Evelina Judeikyte
"The process of creating a data visualisation can be daunting. As a data designer, you need to make about a million decisions, and, if you’re anything like me, you’ve gotten a headache from them more than once. So how can you make the design process a more efficient and a more enjoyable experience? Organised thinking helps a lot—following a process that guides you through decision making in a structured manner. In this talk, you’ll learn about the different elements that make up an effective design process and how to implement them."

Building Community Data Platforms
Benjamin Maskell
"This talk is about my experience using data science, data collection and analytics – to put it broadly – to improve decision making in the public sector. I will discuss the lessons learned about data driven business models, and how the commercial reality compares to the promise offered by this technology. In particular, how descriptive and predictive analytics have failed and how prescriptive analytics seem to be the only path forward."

😎 ABOUT THE SPEAKERS

Evelina Judeikyte works in data analytics and specialises in data visualisation design. Guided by the principle “good design is as little design as possible”, her work is recognised to be clear and intuitive. Evelina is also active in the data visualisation community - she writes for Nightingale, co-hosts the Data Vis Paris meetup and helps organise the Outlier conference.
evelinajudeikyte.com

Benjamin Maskell is a data science and strategy consultant for companies selling public sector analytic products. Previously, he worked in the NYC mayoral administrations of Michael Bloomberg and Bill de Blasio using data to evaluate and improve public policies and initiatives.

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