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Develop Advanced Data Intelligence Platform for Pharmacy Insights

wesoftyou.com

Health & Fitness

Information technology

Retail

ECommerce

Challenges in Delivering Transparent and Actionable Pharmacy Insights

Truveris faces challenges in balancing usability, functionality, and scalability to deliver transparent insights for informed decision-making. They struggle with managing complex data workflows for accurate and timely analytics, handling high-volume data ingestion, and continuously evolving their system while maintaining stability. The need exists to address these challenges to unlock predictive analytics capabilities and improve system performance.

About the Client

Truveris is a digital health company focused on providing data-driven insights for the pharmacy industry, aiming to improve efficiency, accessibility, and affordability of prescription drugs.

Project Goals

Enable transparent insights delivery for collaborative program decisions.
Prepare for predictive analytics to identify performance improvements in transparency and affordability.
Design and evaluate new technologies to resolve system issues and develop secure data systems.
Build a robust data intelligence engine for informed decision-making.

Functional Requirements

Integrated Navigation System: Provide seamless access to critical information.
Advanced Analytics: Manage complex data workflows for accurate and timely insights.
Secure Data Systems: Design and implement secure data storage and processing.
Data Intelligence Engine: Develop a tool for informed decision-making based on data analysis.

Preferred Technologies

Python

Flask

PostgreSQL

AWS

Docker

Kubernetes

Key Non-Functional Requirements

Scalability: Handle high-volume data loads and user traffic.
Performance: Ensure fast response times for analytics and data retrieval.
Security: Maintain data confidentiality and integrity.

Expected Business Impact

Successful completion of this project will enable Truveris to deliver more timely, accurate, and actionable insights to its clients, leading to improved efficiency, affordability, and accessibility within the pharmacy market. The platform will empower data-driven decision-making and pave the way for predictive analytics to optimize performance.