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Development of a Automated HR Benchmarking and Analytics Platform
  1. case
  2. Development of a Automated HR Benchmarking and Analytics Platform

Development of a Automated HR Benchmarking and Analytics Platform

opinov8.com
Business services
Healthcare
Financial services

Identified Challenges in HR Data Access and Benchmarking

Organizations currently face limited access to comprehensive HR topics, restricted data request capabilities, and high costs associated with existing HR data platforms. This hampers their ability to perform precise benchmarking and make objective, data-driven HR decisions in a competitive market environment.

About the Client

A mid to large-sized organization seeking to enhance its HR data analysis capabilities, improve benchmarking accuracy, and streamline employee lifecycle analytics to support data-driven decision-making.

Goals for Developing an Advanced HR Analytics Platform

  • Create a scalable and secure platform enabling seamless access to detailed HR benchmark data across various topics.
  • Implement automated analysis methods and real-time metrics for accurate and instant reporting.
  • Enable users to request additional data dynamically through integrated surveys or feedback tools.
  • Support data export and report generation in common formats such as PDF and Excel.
  • Ensure high-performance data processing capable of handling large volumes of HR data with efficient querying and aggregation.

Core Functionalities of the HR Data Analytics Platform

  • Dynamic data visualization dashboards with interactive charts and graphs.
  • Automated calculation of multiple HR metrics and formulas (e.g., over 140 different formulas).
  • Secure user authentication and authorization mechanisms.
  • Ability for users to submit data requests and launch periodic surveys for additional data collection.
  • Report generation and export capabilities in PDF and MS Office formats.
  • Data integration with external analytics and tracking tools for enhanced insights.

Technologies and Architecture Preferences for the Platform

Microservice architecture
.NET framework for backend system procedures
React.js for frontend development
Scala for distributed calculations and aggregations
Azure cloud infrastructure
Highcharts for data visualization
PostgreSQL for data storage

External Systems and Data Sources Integration Needs

  • Analytics and monitoring tools (e.g., equivalent to New Relic, Hotjar)
  • Advertising and tracking platforms for ad performance metrics
  • External HR data sources and benchmarking datasets
  • Reporting tools for exporting reports

Non-Functional System Requirements and Performance Metrics

  • High scalability to support increasing data volume and user base
  • Robust security protocols to ensure data confidentiality and integrity
  • Performance targets to enable real-time data processing and reporting
  • System uptime of 99.9% and fast response times for queries
  • Easy maintainability and support for future enhancements

Anticipated Business Benefits and Strategic Value

The new HR analytics platform will enable organizations to access extensive, credible benchmarking data rapidly, automate complex analysis, and generate actionable insights. This will lead to improved HR decision-making, optimized employee lifecycle management, and strengthened market positioning, similar to how the previous implementation supported over 100 companies and 400,000 employees, delivering accurate, structured, and easily understandable metrics.

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