This is a companion discussion topic for the original entry at: Rapid prototyping data products using Shiny: https://www.rstudio.com/resources/videos/rapid-prototyping-data-products-using-shiny/
Companies are becoming more aware of the need to embrace data analytics, but going from an idea to a full-fledged data-driven product can be a long and expensive process. At TCB Analytics, we advocate for a rapid prototyping approach using Shiny, a web application framework for R. Shiny enables statisticians and data scientists to quickly develop dashboards, empowering them to bring their hypotheses to life. Putting a real data-driven prototype in the hands of the end user allows for better refining of requirements before passing off to a web development team. We discuss approaches for productionizing Shiny applications and best practices for integrating your software team into the rapid prototyping process.
Tanya Cashorali - Data Scientist and Entrepreneur, TCB Analytics
Tanya Cashorali is the founding partner of TCB Analytics, a Boston-based data consultancy. Previously, she worked as a data scientist at Biogen. Tanya started her career in bioinformatics and has applied her experience to other data-rich verticals such as telecom, finance, and sports. She brings over 10 years of experience using R in data scientist roles as well as managing and training data analysts, and she’s helped grow a handful of Boston startups.