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Development of an Advanced Unified Analytics and Survey Platform for Data-Driven Decision Making
  1. case
  2. Development of an Advanced Unified Analytics and Survey Platform for Data-Driven Decision Making

Development of an Advanced Unified Analytics and Survey Platform for Data-Driven Decision Making

onix-systems.com
Medical
Healthcare
Research

Challenges Faced by Healthcare Organizations in Data Analytics and Survey Integration

Healthcare organizations struggle with deciphering complex, scattered datasets across multiple domains, including survey feedback, operational metrics, and clinical data. They require a unified solution that can seamlessly integrate disparate data streams, ensure data quality, and provide user-friendly visualization tools to facilitate informed decision-making and operational efficiency.

About the Client

A mid to large-sized healthcare organization seeking to consolidate survey data and complex datasets into a single, intuitive analytics platform to enhance operational insights and decision-making.

Goals for Developing an Enhanced Data Analytics and Survey Platform

  • Develop a comprehensive web application that integrates survey functionalities with advanced analytics capabilities.
  • Enable rapid processing and visualization of large datasets through dynamic dashboards and graphics.
  • Design an intuitive user interface suitable for users with varying technical expertise.
  • Ensure high data quality and consistency across integrated data sources.
  • Create a scalable architecture capable of handling increasing data volumes and user traffic with optimal performance.

Core Functional Specifications for the Analytics and Survey Platform

  • Custom survey creation, management, and response collection integrated within the platform.
  • Advanced data processing workflows for rapid generation of insightful dashboards and graphics.
  • Dynamic visualization tools that generate appealing graphics and dashboards to communicate key insights.
  • User-friendly interface balancing simplicity and functionality for diverse user expertise.
  • Data validation and quality assurance modules to maintain data accuracy and consistency.
  • Scalable architecture to support growing data volume and high user concurrency.
  • Responsive design for accessible use across devices.

Technology Stack Preferences for Platform Development

Web application frameworks: modern JavaScript frameworks (e.g., Angular)
Backend development: PHP or equivalent scalable, secure server-side technology
Database management: PostgreSQL
Architecture: scalable, optimized for high-volume data processing and concurrent users

Essential External System Integrations

  • Survey data sources (e.g., existing survey tools or custom survey modules)
  • Data sources for operational and clinical datasets
  • Quality assurance and data validation modules
  • Security systems for user authentication and data privacy

Critical Non-Functional System Requirements

  • Scalability to manage increasing data sizes and user load
  • High performance to enable rapid data processing and real-time dashboards
  • Data security and compliance with healthcare data regulations
  • Reliability and fault tolerance for continuous platform availability
  • Responsive and accessible interface for users of varying technical expertise

Projected Business Outcomes from the Analytics Platform

The new platform is expected to significantly improve decision-making capabilities by enabling rapid, accurate analysis of complex datasets and survey feedback. It aims to deliver a scalable, reliable, and user-friendly solution that can handle large data volumes while providing actionable insights, leading to enhanced operational efficiency and strategic growth in healthcare organizations.

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