3:30 - 4:00 PM - How to quickly build a production-ready Real-World-Data dashboard?
It's commonly known that R&Shiny can be used for quick prototyping, but what about quickly building complex production-ready dashboards? We will show that it’s also possible if only we initially invest some of our efforts into developing reusable production-ready dashboarding components. In our daily work, our team at Roche builds complex analytical dashboards for rapid Real-World-Data (RWD) exploration and hypothesis generation. Such dashboards need to work with different data sources and models, consist of different sets of integrated ready-to-use componentes, and have the ability to be customized with project-specific settings and modules. Because of those architectural drivers we propose and develop a modularized ecosystem of production-ready components, which are responsible for and very good at specific tasks, yet they are also properly abstracted so they can be easily reused in other projects and use cases. Some of the components that we’ve created are already open-sourced and we plan to open-source more of them in the future. In our talk we will show how one can build a production-ready dashboard using production-ready, well-tested components responsible for the following tasks: Generating rule-based artificial data for application development and testing. Creating complex cohorts using advanced filtering tools with clear separation of the interactive layer. Performing analysis on the selected cohort with an appropriate analytical module and visualizing the results. We will present those components, their features, benefits, and possible applications. What’s more we’ll show the effect of integrating those components in a single demo shiny app.