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Design and Development of an HR Data Analytics Platform for Enhanced Workforce Insights
  1. case
  2. Design and Development of an HR Data Analytics Platform for Enhanced Workforce Insights

Design and Development of an HR Data Analytics Platform for Enhanced Workforce Insights

sevencollab
Information technology

Business Challenges in HR Data Analysis and Reporting

The client faces difficulties in efficiently analyzing large volumes of HR data and presenting it in an intuitive, accessible manner. Manual data processing leads to delayed insights, inconsistent reporting, and limited user access control, hindering strategic HR management and operational efficiency.

About the Client

A mid-sized enterprise specializing in cloud-based HR management solutions seeking streamlined data analysis capabilities for improved decision-making.

Goals for Developing an Advanced HR Data Analytics System

  • Create a scalable cloud-based platform allowing HR professionals and managers to upload and analyze extensive HR datasets.
  • Automate transformation of raw numerical data into clear, interactive visualizations and reports.
  • Implement role-based access controls to customize report visibility based on user hierarchy.
  • Enable real-time data synchronization, dashboard creation, and sharing capabilities within the organization.
  • Facilitate event scheduling, notifications, chat, and social features to promote collaborative HR environment.
  • Achieve rapid system deployment with high performance, security, and ease of use to support scalable enterprise operations.

Core Functional Features of the HR Data Analytics Platform

  • Data upload interface for raw HR data collection
  • Automated data transformation into visual reports and charts
  • Role-based user access control and permission management
  • Configurable dashboards displaying aggregated or individual employee insights
  • Real-time data synchronization and report updates
  • Tools for report sharing and collaboration within the organization
  • Event calendar, notification system, and integrated chat/social network features

Preferred Technology Stack and Architecture Preferences

Modern MEAN stack implementation (MongoDB, Express.js, Angular, Node.js)
WebSocket for real-time data updates
Cloud hosting on providers like AWS EC2
Use of Docker for deployment containerization
Backend developed with a robust web framework (e.g., Laravel or equivalent for API management)
Frontend utilizing Bootstrap, SASS, Angular Material, D3.js, TypeScript

Essential External System Integrations

  • HR data sources and systems for seamless data upload and synchronization
  • Authentication and identity management systems for secure access
  • Third-party notification and messaging services
  • Mapping tools such as Google Maps for geographic data visualization

Key Non-Functional System Requirements

  • Scalability to support increasing data volume and user base
  • System performance with real-time data processing and visualization
  • Data security and compliance with privacy standards
  • High system availability with minimal downtime
  • Responsive design ensuring usability across devices

Anticipated Business Outcomes and System Benefits

The new HR data analytics platform is expected to significantly enhance workforce data visibility, enabling faster and more informed HR decisions. The system aims to increase reporting efficiency by automating data transformation, improve data-driven insights accessibility, and foster collaboration. Projected outcomes include reduced report generation time, improved data security, and scalable infrastructure supporting future organizational growth.

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