Revolutionising clinical trials with a Geo Matrix Decision Engine
About this project
Aurora Analytica partnered with Imaginary Cloud to build the first decision engine of the Aurora Suite - the Geo Matrix Decision Engine aimed at CRO users to run different scenarios using custom data.
Result: A new platform that provides valuable insights into customer behaviour and helps optimise workflows across key touch points such as RFIs, RFPs, and scenario planning.
our INVOLVEMENT
Design
Development
technologies
Next.js
Redux
Papa Parse
Auth0 by Okta
AWS
React
Nest.js
Prisma
PostgreSQL DB
Aurora Analytica enables clients to leverage big data more effectively through its advanced web platform. The Aurora Suite™ (Aurora) is an advanced web application focused on key areas such as market access, performance, simulation, trial design, country/site selection, clinical operations, specialized healthcare data, generative AI/ML, and more.
By leveraging each of these key areas, Aurora Analytica has developed 11 cutting-edge components, known as Decision Engines™, that perform over 14 assessments crucial for the planning, design, and operation of clinical trials. This centralized hub for data-driven insights facilitates seamless exploration and utilization of vast amounts of information. Aurora Analytica's intuitive platform empowers users to uncover valuable patterns, correlations, and trends, driving in formed decision-making in the clinical trial domain. Their mission is to unlock break throughs and transform the future of global healthcare by empowering health pioneers to re-envision data analytics.
Imaginary Cloud played a supportive role in the project management of Aurora Analytica' platform, assisting the client in overseeing the process from the initial design phase through to development. By providing the necessary technical specialists, Imaginary Cloud enabled Aurora Analytica to make informed decisions, ensuring seamless integration of design and technical feasibility.
This collaborative approach allowed for proactive issue resolution, consistent stakeholder communication, and the timely delivery of the project. The partnership ensured that the platform not only met but exceeded expectations, establishing a strong foundation for future enhancements.
NEW PROJECT IN MIND? LET'S TALKduring the project
Imaginary Cloud used the Minimum Viable Product (MVP) process. It follows a multidisciplinary approach where product owners, developers, and UX/UI designers state all the features and their priorities to meet your project and user's requirements.
two stages
Migration
Development
four stages
Research
Ideation
Execution
Technical Assessment
four stages
Requirements
Back-end integration
Website development
Advanced filtering and search
four stages
Research
Ideation
Execution
Technical Assessment
four stages
Backlog
Bootstrap
Wave 0
Wave N
four stages
Research
Ideation
Execution
Launch & Handover
two processes
MVP
ADP
Four stages
Scope meeting
Code review
Test review
Quality review
Assessment
Four stages
Backlog
Bootstrap
Wave 0
Wave N
during the project
Imaginary Cloud used the Minimum Viable Product (MVP) process. It follows a multidisciplinary approach where product owners, developers, and UX/UI designers state all the features and their priorities to meet your project and user's requirements.
TECHNOLOGIES used
Front-end technology used to build Aurora Analytica’s Geo Matrix Decision Engine.
Popular JavaScript library for managing application state in a predictable way, especially for complex applications with global state.
Used for CSV imports and exports from the data table.
Auth0 provides authentication and authorization services, and the Next.js SDK simplifies integrating those services into the application. This provides a platform for user authentication and management across the platform.
Used for deploying and hosting the platform on the web.
This enables the user to see a world map that reflects the results of the calculations in the Geo Matrix.
Back-end technology used to build Aurora Analytica’s Geo Matrix Decision Engine.
Acts as a layer of abstraction between the application code and the PostgreSQL database, allowing users to interact with the database of Aurora Analytica using a type-safe and intuitive API.
Used to build Aurora Analytica’s database. It’s an open-source object-relational database management system (DBMS) known for its reliability, scalability, and advanced features.
We implemented the Managed Project Working Model which included our Front and Back-end Developers, Designers, and Project Managers.
Front-end and Back-end Developers: Responsible for ensuring that the platform’s users can easily interact with it through the combination of design, technology, and programming the platform’s appearance, as well as taking care of debugging.
Designers: Carried out the visuals for the final MVP.
Project Managers: Defined the project requirements and outlined the scope of the project. Steering the project from concept to completion, the project manager ensured clear communication, managed resources and kept the development of the website on track.
This project delivered an in-depth understanding of the customer persona and their interaction with the service.
The Geo Matrix Decision Engine is able to empower CROs to strategise and predict outcomes virtually before real-world implementation.
CROs are able to optimize workflows across key touchpoints like requests (RFIs & RFPs) and scenario planning by analysing simulated scenarios.
The project behind the NDA
Aurora Analytica partnered with Imaginary Cloud to build the first decision engine of the Aurora Suite - the Geo Matrix Decision Engine aimed at CRO users to run different scenarios using custom data.
Result: A new platform that provides valuable insights into customer behaviour and helps optimise workflows across key touch points such as RFIs, RFPs, and scenario planning.
