Executive summary
Frontwalker rebuilt the user interface, optimised data handling, and modernised the technical infrastructure of a data-analysis platform covering more than several thousand life science companies. The solution included integrations with external data sources, a dynamic survey module, and interactive data visualisations, creating a robust, secure and future-ready platform.
The challenge
1. Business challenge
An existing data-analysis platform needed extensive further development to meet growing business needs. The entire data journey, from collection to visualisation, needed to be modernised and made more efficient, while the platform needed to reliably handle data from more than several thousand life science companies.
Key business challenges included:
- An existing data-analysis platform needed extensive further development to meet growing business needs
- The entire data journey - from collection to visualisation - needed to be modernised and made more efficient
- The platform needed to reliably handle data from more than several thousand life science companies for interactive analysis
- Users needed a flexible way to create and distribute dynamic surveys and visualise the responses
2. Technical challenge
The platform required a modern, scalable technical foundation to ensure stability and security. Data handling and analysis capacity also needed significant optimisation to support growing data volumes, alongside new analysis tools and integrations with external data sources.
Key technical challenges included:
- Platform stability and security needed to be ensured across a modern, scalable technical foundation
- Data handling and analysis capacity needed significant optimisation to support growing data volumes
- New, more powerful analysis tools needed to be implemented on top of the existing architecture
- Integrations were needed with external data sources providing detailed financial and company information
What we did
1) Frontwalker’s approach and solution
Frontwalker modernised and expanded the data-analysis platform by rebuilding the user interface, optimising data handling, and modernising the technical infrastructure. The solution also included integrations with external data sources, a dynamic survey module, and interactive data visualisations.
2) Delivered solution
- A modernised user interface built with React and TypeScript in close collaboration with a UX designer
- Robust integrations with external data sources feeding financial and company information into the platform
- A dynamic survey module enabling flexible creation, distribution and visualisation of user responses
- Interactive data visualisations built with Metabase
3) Engineering & delivery
- Frontend development using React, TypeScript and Vite for a modern, maintainable user interface
- Backend and data infrastructure built on Firebase, Firestore, BigQuery, Node.js and Google Cloud Platform
- Efficient data flows implemented between Firestore, BigQuery and Metabase
4) Collaboration model
- Close collaboration with a UX designer on interface design and implementation
- Direct engagement with the client to align platform capabilities with the evolving needs of the life science sector
Business impact / results
Outcomes achieved
- Secure and smooth data collection across more than several thousand companies
- Reliable, trustworthy reporting thanks to improved data quality and performance optimisation
- An improved user experience across the platform
- A scalable, future-proofed technical foundation ready for continued growth
