From the course: Design Thinking: Data Intelligence

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Rapid prototyping with data

Rapid prototyping with data

From the course: Design Thinking: Data Intelligence

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Rapid prototyping with data

- It may seem like these new technologies are too complex to rapidly prototype, but you'd be wrong. If you assemble the right team of multi-disciplinary designers, everything is possible. There are two approaches to rapidly prototype with data by co-designing with a data scientist. The first is using a data-driven prototyping approach. Those let you import real data into your web and mobile prototypes, and build dynamic data lists and data grids within charts, menus, and other data simulations that actually behave like the real thing. The second approach is through data prototypes. These act as descriptions of a technique either through a proof of concept or just an example of how raw data has been transformed into something meaningful to your users. For the first approach, data-driven, you'll need to collaborate early on, while you're both performing design and data research. That way, you'll be able to integrate real data from the data scientists research. Then, you and your data…

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