Empower Analytical Insights With Shiny
Use Cases and Deployment Scope
We use Shiny to collate data from disparate sources, transform and generate advanced analysis served through Shiny dashboards and R Markdown documents. R is one of two standards within our organisation's field, enabling us to learn and share within a wide community of interest. Additionally the continued support and development of packages enables us to utilise the latest improvements right now.
Pros
- Data transformation.
- Data visualisation.
- Repeatable analytical pipelines.
Cons
- Learning for beginners.
Likelihood to Recommend
Shiny is well suited where an organisation is looking to empower their analysts to minimise time spent on repetitive analysis by deploying repeatable analytical pipelines, but also looking for them to add greater value to the organisation by utilising more advanced analytical techniques. Ideally it is well suited where IT are on board and supportive of some of the more advanced features such as deploying R Shiny dashboards.
