DataScience presents insights to customers in an easily digestible, interactive format via a collaborative web application. This presentation outlines the technology behind the DataScience application, as well as future plans to enhance it.

1. Delivering Insights
Building the DataScience Web Application

2. About us
Mark McKelvy
▪ Software Engineer
▪ Build complex, data
intensive applications
primarily using JavaScript
DataScience
▪ Data Science as a Service
▪ Customers fromTinder to
Belkin
▪ Ranked #1 among Best
Places to Work in Los
Angeles for 2015

3. What makes a good business application?
▪ Works as expected, every time
▪ Modern, intuitive user interface
▪ Fast (in every sense)
▪ Helps you get your job done quickly
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4. The DataScience web application
▪ Modern, sleek interface
▪ Presents insights in an easily
digestible form
▪ Includes rich visualizations to
make sense of complex data
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5. The DataScience web application (cont’d)
▪ Seamless access to interactive tools
(ratings, comments,
follow-up questions)
▪ Simple forms and inputs
▪ Immediately responsive to user
interactions
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6. Our approach
▪ Always be non-blocking
▪ Optimistically update
▪ Favor immutability and functional
programming patterns
▪ Contain application state
▪ Keep data flow unidirectional
▪ JavaScript across the stack
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7. Thank you.