Large financial institutions have a responsibility to regularly produce analytical reports. Our client wanted to update their reporting workflow, and investigate different reporting tools. They were considering adopting R Markdown as many of their analytics had experience using R. However, they had concerns that R Markdown may not be flexible enough to reproduce their reports exactly, with the correct styling and layout.
As a large institution with hundreds of analysts, choosing the correct tool is an important decision. Even when choosing an open-source tool there is still the expense of setting up new processes internally, in addition to the upskilling of staff. The institution needed to have confidence in the technology it was choosing to integrate into it’s reporting workflow.
The client contacted Jumping Rivers to assess the viability of R and R Markdown as a reporting tool for creating complex, bespoke documents.
We analysed their specification, detailing which aspects were easy to implement, and highlighted the more challenging areas. For the more challenging tasks, we provided bespoke solutions, showcasing that all of their specifications could be met with R Markdown. We provided example code, allowing them to recreate a sample of their reports in R Markdown.
We also provided a half-day bespoke training session for analysts and management, demonstrating the flexibility of R Markdown and showcasing the benefits of automated reporting. We discussed integration with their existing databases and ensured that the documents met the client’s branding guidelines. This information enabled the client to make a considered decision on which tool was best suited for their workflow.
Jumping Rivers created a data pipeline and visualisation dashboard for public and policy maker consumption. The aim was to increase transparency and encourage positive change to the workplace environment. The application allows exploration of key performance indicators stratified by a host of protected characteristics.
The client came to Jumping Rivers having already written the code for their problem in VBA. They were trying to evaluate four measurements for agreements with their clients. However, VBA is limited in speed. Jumping Rivers were required to build a bespoke R package to replace and quicken the code.
At the end of 2017, 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.
Over the last two years, we have been working with a cutting edge electronics company to build advanced algorithms using R and Python. Since they are at the research & design stage of the development process, their data structure is unique and challenging.
After winning a Water Hub Hackathon, Jumping Rivers were contracted to create a platform for the client using R Shiny, published on RStudio Connect. The platform aggregates raw data from many third party sources both internal and external to the EA, through bespoke APIs, commercial databases, and asset management systems.
The client wanted to assess the viability of R and R Markdown as a reporting tool for creating complex, bespoke documents. We recreated sample reports for them in R Markdown, showcasing that all of their specifications could be met, and provided them with example code and training.
Jumping Rivers built a tool for creation of experimental risk assessments via a centralised web application. The dashboard allows for collaborative working during the data entry and assessment formulation, report generation and tracks versions along iteration of the process.
The IFoA required a bespoke R and RStudio platform to run their new R-based Actuarial CS1 and CS2 exams. We developed a system that delivered the exam and provided a convenient submission portal. Examiners could monitor results and feedback via a Shiny dashboard.
The client had developed an advanced, in-house Shiny application. We transformed the application into a commerical project, that is now being used by their clients.
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 two hundred data scientists in NHS Scotland, which made training everyone in the new software a logistical challenge.
In 2018, Northumbrian held their annual Innovation Hackathon. Our winning entry, allowed enginneers to reduce leakage throughout the North East.
In spring of 2020 Northumbrian water engaged with Jumping Rivers to build a modelling solution to better understand risks to the consumer within their network in order to provide a better service.
