Rapid Prototyping Data Products using Shiny
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 is the founding partner of TCB Analytics, a Boston-based data consultancy. Prior to launching TCB Analytics, 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.

Privacy Settings
We use cookies to enhance your experience while using our website. If you are using our Services via a browser you can restrict, block or remove cookies through your web browser settings. We also use content and scripts from third parties that may use tracking technologies. You can selectively provide your consent below to allow such third party embeds. For complete information about the cookies we use, data we collect and how we process them, please check our Privacy Policy
Consent to display content from - Youtube
Consent to display content from - Vimeo
Google Maps
Consent to display content from - Google