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Development of a Scalable SaaS Platform for Data-Driven HR and Employee Satisfaction Analysis
  1. case
  2. Development of a Scalable SaaS Platform for Data-Driven HR and Employee Satisfaction Analysis

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Development of a Scalable SaaS Platform for Data-Driven HR and Employee Satisfaction Analysis

inoxoft.com
Human Resources
SaaS

Challenges in Modern HR Management

Enterprises struggle with employee satisfaction analysis and preventing unjustified employee terminations. HR consultants require automated tools to efficiently deliver customized questionnaires, analyze talent data, and facilitate transparent communication between employees, managers, and HR specialists.

About the Client

A 20-year-old HR consultancy firm specializing in enterprise-level personnel management solutions, focusing on creating mutually beneficial systems for organizational leaders and employees.

Key Project Goals

  • Create a scalable SaaS platform combining web and mobile applications for HR services
  • Automate questionnaire creation, distribution, and analysis processes
  • Enable real-time employee satisfaction tracking and talent analysis
  • Establish secure communication channels between HR consultants, employees, and management
  • Provide customizable dashboards for organizational data visualization

Core System Requirements

  • Customizable organizational databases with role-based access control
  • Dynamic questionnaire builder with scheduling and logic sequencing
  • Real-time analytics dashboard with multi-level organizational insights
  • Mobile-optimized feed page with prioritized questions and response tracking
  • Secure messaging system for tips, compliments, and complaints
  • Talent analysis engine with personalized feedback generation
  • Permission management system for result visibility control

Technology Stack

AWS
React.js
Node.js
Flutter

System Integrations

  • Third-party authentication (OAuth)
  • Push notification services
  • Data visualization libraries
  • Cloud storage solutions

Non-Functional Requirements

  • Enterprise-grade security with GDPR compliance
  • Horizontal scalability for global clients
  • 99.9% system uptime SLA
  • Cross-platform compatibility
  • Performance optimization for large datasets

Expected Business Outcomes

The platform will reduce infrastructure costs through SaaS model efficiency while enabling exponential client growth. Automated HR processes will increase consultant productivity by 40%, improve employee engagement through real-time feedback mechanisms, and provide data-driven decision-making capabilities that reduce unnecessary workforce turnover by up to 30%.

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