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Platform Modernization for HR Data Analytics and Benchmarking
  1. case
  2. Platform Modernization for HR Data Analytics and Benchmarking

Platform Modernization for HR Data Analytics and Benchmarking

opinov8.com
Business services
Human Resources
Technology

Addressing Legacy System Limitations in HR Data Platforms

The client’s existing web application, built on outdated frameworks, faced issues with limited scalability, poor user experience, and high maintenance costs. It struggled to support a growing customer base and lacked modern features for data analysis and access. This hindered the ability to deliver timely, credible benchmarks and analytics, negatively impacting client satisfaction and competitiveness.

About the Client

A mid to large-sized HR analytics organization providing benchmarking data, employee lifecycle insights, and decision-making tools to corporate clients.

Goals for Modernizing the HR Data Platform

  • Enhance platform scalability to support increased traffic and data volume.
  • Improve user experience with a contemporary, consistent UI and UX design.
  • Implement automated, accurate analytics for benchmarking and employee lifecycle insights.
  • Modernize system architecture using up-to-date frameworks and technologies for easier maintenance and extension.
  • Ensure high security standards, including permission management and secure data handling.
  • Enable flexible integration with third-party services and data sources through APIs.
  • Support ongoing data collection via surveys and real-time data requests.
  • Deliver actionable insights through interactive dashboards, reports, and downloadable metrics.

Functional System Requirements for HR Data Insights Platform

  • Reusable, standardized UI components ensuring visual and functional consistency.
  • Customer account management with setup of SSL certificates, DNS configuration, and detailed analytics dashboards.
  • Role-based permission handling with secure login and authorization controls.
  • Backend API layer using GraphQL for flexible and efficient data communication.
  • An upgraded analytics module capable of creating interactive charts, exportable reports (PDF), and real-time data visualization.
  • Automated processes for data collection and survey integration, supporting monthly and ad-hoc data requests.
  • Secure handling of employee and benchmark data with project-specific security controls.
  • Integration capabilities with external HR and benchmarking data sources.

Preferred Technologies for Platform Development

React with TypeScript for front-end development
Next.js framework for server-side rendering and optimized performance
GraphQL API layer for adaptable system communication
SCSS for styling and UI consistency
Node.js with Nest.js for backend services
Elastic Data or comparable tools for dynamic analytics and reporting
CanvasJS or similar libraries for data visualization

External System and Data Integrations

  • Benchmark data providers and external HR systems for data import/export
  • Third-party authentication and security tools
  • Marketing or survey tools for ongoing data collection
  • Analytics and performance monitoring tools

Key Non-Functional System Requirements

  • Scalability to support at least 100 companies and over 400,000 employees, with capacity for growth
  • Performance benchmarks supporting real-time analytics and report generation
  • Robust security protocols including permission handling and secure data transmission
  • Maintainability facilitated by modern frameworks (React, TypeScript, GraphQL)
  • Modular architecture enabling seamless feature expansion and API integration
  • High uptime and stability to ensure continuous data availability

Projected Business Benefits of Platform Modernization

The recommended modernization will result in a scalable, secure platform capable of supporting significant growth in client data and users. It aims to deliver a modern user experience, automate analytics for accuracy and efficiency, and provide comprehensive, actionable insights to empower HR and business leaders. Expected outcomes include support for over 100 companies, improved data accessibility, faster report generation, and enhanced client satisfaction, positioning the client as a market leader in HR analytics and benchmarking.

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