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The fastest visual analytics for big data, with a new innovation to explore time-based data.
At Zoomdata, we make the fastest visual analytics platform for really big data. People can use it to fuse all kinds of data together, from spreadsheets to Hadoop clusters. The visualizations it makes are intuitive and amazing. It was designed with a touch-first mentality, and works on mobile devices, desktops, kiosks and displays. Our clients have huge amounts of data - trillions of rows of data - and they use our product so everyone at their company, not just data scientists, can make sense of it.
In our entry to the UX Awards, we talk about how we designed the UX of one of our newest features: timelines for big data. In our research, we found that *time* is a great way to put big data on a human scale. However, the traditional timeline UI of a scrubber simply doesn't work on a big data scale. For instance, what happens if you want to examine weather data from the last 100 years on a second-by-second basis? Or if you want to examine transactions from quantitative trading? All of that data simply doesn't fit in a traditional timeline UI.
- Why this project is worthy of a UX Award:
Our process started with interviews, where we learned how useful *time* was as a common mental model. Extracting personas from our research helped us to develop specific use cases to define the most common situations, as well as extreme edge cases. During early sketching, we came upon ideas for an infinitely-scaling timeline. These developed into wireframes and early functional specs, which informed us as we moved onto creating prototypes.
While we have a dedicated UX team, it takes an entire organization dedicated to the user to make UX a success. From the CEO who was involved with all the early meetings, down to the developers who crafted the vision into reality (Andrii Prashcharuk deserves special recognition), the success of the big data timeline is really a credit to raising UX to a company-wide strategy.
- Submitted By: Zoomdata
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