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CASE STUDIES

Scottish Government: Fair Work Data Explorer - Shiny App

Fair Work Data Explorer

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.

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Banking Firm: Code Review & R Package Development

Banking Firm

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.

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AGR TRACS International: Dashboard Development for Monte Carlo Simulation

AGR TRACS International

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.

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Electrics Company: Applying Machine Learning Tools to Highlight Anomalous Data

Electrics Company

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.

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Environment Agency: Development & Deployment of 'Water Body Explorer' Shiny App

The Environment Agency

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.

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Financial Institution: Bespoke Report Generation using R Markdown

Financial Institution

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.

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Fujifilm: Shiny Dashboard Creation for Experimental Risk Assessments

Experimental Risk Assessments

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.

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NHS Scotland: R Training

NHS Scotland

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.

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Northumbrian Water: Interruption to Supply Risk Mapping using Spatial R Package

NWL Risk Mapping

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.

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