Bioscience Cloud-based Big Data Processing App Development
Healthcare
- ML & AI
- Frontend
Bioscience Cloud-based Big Data Processing App Development
client
NDA Protected
Germany
5-10 employees
The client is a targeted proteomics company providing research services and discovering novel biomarkers especially around sports and personal well-being using state of the art proteomics methods.
request background
Collaboration journey
Initially, we were asked to create a graphical interface for developed back-end. Later, our Research and Development department worked on processing and analysis of biomaterials via AI & ML integration, and consulted on back-end optimization.
challenge
Fighting challenges
Our team was faced with a number of obstacles, holding us back from fast solution delivery. We had a rather restricted communication with an external back-end developer and his low engagement. Moreover, we had to find a way out of the low stakeholder engagement on the UAT step of a task workflow, which led to chaotic testing and constant iterations.
goals
- AI & ML integration
- Back-end optimization
- Optimize analysis processing
solution
Our working path
ReactJS, Python, NodeJS, AWS
1+ years- 3 specialists
We decided to organize the whole big data processing app development process in accordance with Scrum methodology, which created a single approach for task lifecycle management. Daily stand-ups gave us smooth communication between team members and external back-end developers, while periodic demos gave our clients understanding of the stage of the project and ability to suggest changes in product priorities more effectively.
outcome
No obstacles can stop us
- Reduced the project time to launch by 30 percent
- Increase in the analysis processing accuracy by 40 percent
- Analysis processing time reduced by 38 percent
- 30% Reduced the project time to launch
- 40% Increase in the analysis processing accuracy
- 38% Analysis processing time reduced
Articles you may also like
The Importance of CyberSecurity in Healthcare in 2023: Tips for Protecting Sensitive Information
Healthcare Application Development: A Detailed Guide for 2023
Guide to Healthcare Management System Development
Developing a Feature-Rich On-Demand Veterinary App: Practices to Follow
Chatbots in Healthcare: Development and Use Cases
Online Pharmacy App Development: Features to Add & Challenges
mHealth App Development Explained: Why MVPs Fail & How to Build Yours
![Building HIPAA Compliant Software The Right Way [Our story]](/img/articles/hipaa-compliant-software-development/img01.jpg)
Building HIPAA Compliant Software The Right Way [Our story]
![Kiosk Software Development for Healthcare Industry [Guide with Case]](/img/articles/kiosk-software-development/img01.jpg)