Project 4: Consultancy & Further Support
A Marketing Company
The client’s in-house data science team had developed a Shiny application using the RStudio desktop IDE. The client wished to develop this Shiny application into a product/service that may be provided to their own clients.
The customer contacted Jumping Rivers to develop a Shiny application into a product/service that may be provided to their own clients.
We evaluated the suitability of both open-source and commercially supported tools for deploying Shiny applications. In this case, RStudio Connect was chosen as it provided a platform for internal development, as well as a flexible solution for deploying applications at scale while providing an interface for management of both users and applications without requiring knowledge of server configuration. In addition, RStudio Connect would provide one-click deployment for the data science team, and built-in integration with several authentication services.
By choosing the LDAP user authentication method we were able to design infrastructure, and set up the necessary services, to synchronise with the existing user management systems of this customer.
The service stack was developed using Docker containers to be deployed on Azure Cloud virtual machines to be compatible with existing infrastructure and knowledge of the customer’s IT department.
At the end of 2017, AGR TRACS International contacted Jumping Rivers. AGR TRACS International estimates the volumes of oil and gas in subsurface reservoirs. Their work involves combining a set of inputs for each reservoir layer (such as area, thickness, and up to five other inputs) – and then multiplying these inputs together.Discover our Case Study
In the spring of 2018, NHS Scotland expressed a need to move from their existing software, SPSS and SAS, to using R.
The difficulty they faced was that there are over 200 data scientists in NHS Scotland, which made training everyone in the new software a logistical challenge.