Revolutionizing Healthcare Analytics: RamSoft's Journey with Cube

• Analytics & Modeling - Edge Analytics
• Platform as a Service (PaaS) - Application Development Platforms

• Equipment & Machinery
• Healthcare & Hospitals

• System Integration

RamSoft, a leading SaaS HealthTech company, was in search of a modern analytics platform to enhance its new analytics offering, Root. The company had been using a major business intelligence tool, but it lacked the customization capabilities required to provide a truly native end-user experience. The tool offered limited customization options, particularly in terms of user experience workflows and report generation. Additionally, RamSoft needed a solution that would allow them to control the features available to the end user. They found that many existing solutions in the market were packed with numerous irrelevant features, which often overwhelmed new users. The team required a solution that would allow them to remove unnecessary features and control user access to various functionalities. Given the complexity of their domain, they also needed a platform that could streamline the analytics behind the tool, allowing them to focus on the UX/UI and front-end.

RamSoft is a SaaS HealthTech company based in Toronto, Ontario. With two decades of experience, the company has established itself as a premier healthcare IT provider. RamSoft's offerings revolve around medical imaging workflow solutions, including the world's first Imaging Electronic Medical Record (EMR) system, OmegaAI. By consolidating all medical imaging software and applying its proprietary analytics technology, RamSoft empowers practitioners to speed up care, improving medical outcomes with automatic imaging workflows. The company was looking to enhance its analytics offering, Root, with a modern, customizable platform.

Cube's semantic layer offered the solution RamSoft was looking for. The concept of decoupling modeling logic from the front end appealed to them, as it allowed for the quick building of a completely custom UI. Cube's semantic layer, along with its generated data schemas and advanced pre-aggregation capabilities, meant that RamSoft's team didn't have to build their data models from scratch. Instead, they simply connected their application to Cube via Cube's instant APIs. This allowed them to quickly establish their critical data infrastructure, speeding up production and launch. The implementation process was smooth, with a small team of engineers working for two weeks to build the initial version of the React web application. Cube's customer success and experience departments provided valuable guidance, ensuring an easy transition and deployment. With Cube, RamSoft was able to streamline the production and release of its highly tailored embedded analytics solution without needing to change its data stack.

• The implementation of Cube's semantic layer brought about significant operational improvements for RamSoft. The decoupling of modeling logic from the front end allowed for the quick building of a completely custom UI, enhancing the user experience. The team was able to streamline the analytics behind the tool, allowing them to focus on the UX/UI and front-end. This resulted in a more efficient production and launch process. Furthermore, the team was able to control the features available to the end user, reducing the risk of overwhelming new users with unnecessary features. Looking ahead, RamSoft plans to integrate more data sources and integrate them with their AI capabilities. They are also excited to implement Cube’s real-time analytics capabilities to offer new functionalities based on streaming data to their users.

• Implementation was completed by a small team in just two weeks

• The solution allowed for a highly customizable UI and front-end

• The team was able to control functionalities available to the end-user