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Datawheel: Developing DataChile – a visualization engine

Datawheel Chile Data Science+AI Chile
Apr 04 , 2018
(Centre, wearing read) Alexis, 18, looks at his scrapbooks with his siblings at home in Omoa, Honduras on June 27th, 2016.
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Data Science+AI

Datawheel Chile

Amount invested $97,500 USD Funding Status graduated early period Founded in 2013 by Alex Simoes, Dave Landry & Cesar Hidalgo

Imagine you were tasked to understand the main challenges children experience in a region and how they compare to the rest of the country. Where would you find this information? You’ll probably go to the Education Ministry to access data on education data, to the Health Ministry for health data, and so on. Furthermore, it wouldn’t be easy to find this information and you would need to download files that are difficult to understand.

To address these challenges, we’re developing DataChile – a platform that integrates and shows data from dozens of sources allowing you to easily access information in a simple, beautiful, and interactive way.

A closer look…

DataChile is a country-wide visualization engine that integrates datasets from multiple official sources. It is a fully integrated solution that merges, visualizes, and search engine optimizes multiple data streams to empower decision makers for data-informed decisions.

Hans rides on a bicycle driven by his uncle Carlos in the poor neighbourhood where they live on the outskirts of Santiago, the capital.
We formed Datawheel to liberate data from files and databases. Data is only as good as how easy it is to access.

The Solution

What is unique about your solution and how is it different from what currently exists?

Even as organizations have more capabilities to collect and organize data and with modern communication technologies becoming more accessible, there is a still a big gap around the ability to deliver that data back to users in a visually accessible format. Traditional data distribution efforts are not able to visualize data well and fail to deliver it in an integrated manner (health, income, and demographic data are provided separately and not merged).

Datawheel solves the data delivery challenge by building robust, memorable, and relevant data visualizations. We focus on designing customizable solutions that fit specific needs and are context-appropriate (e.g building DataChile).

How did you come up with your solution and what inspired you to form your company?

We formed Datawheel to liberate data from files and databases. Data is only as good as how easy it is to access.

The Team

How did your team come together. What is your team’s MO and drive towards the problem you’re trying to solve?

We are a small team of programmers and designers who embody the skills necessary to deliver well-designed solutions for data needs. We are motivated to make the world’s information accessible and digestible — for the benefit of all.

Use of the Investment

What do you plan on doing with UNICEF’s Venture Fund investment and how will you use that to leverage raising follow-on investment?

We will use UNICEF’s Venture Fund investment to expand DataChile capabilities – adding new datasets that will allow the platform to inform and help monitor public investment and childhood realities in Chile.

Photo Credits
Top: © Datawheel
In Article: © UNICEF/UNI136084/Friedman-Rudovsky

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