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Development of Scalable HR Data Benchmarking Platform with Automated Analytics
  1. case
  2. Development of Scalable HR Data Benchmarking Platform with Automated Analytics

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Development of Scalable HR Data Benchmarking Platform with Automated Analytics

opinov8.com
Human Resources
Information technology
Business services

Current Market Limitations in HR Data Analytics

Existing HR data platforms suffer from restricted HR topic coverage, limited user data request capabilities, and high costs. Companies require a scalable solution with automated analysis tools to deliver accurate, real-time benchmarking metrics while maintaining compliance with data protection regulations.

About the Client

Innovative SaaS platform provider enabling HR departments to analyze and benchmark employee data for strategic decision-making

Strategic Goals for Platform Development

  • Create a cloud-native SaaS platform for HR data benchmarking
  • Implement automated data analysis with AI/ML capabilities
  • Ensure scalability to handle growing data volumes from 100+ companies
  • Develop customizable dashboards for real-time metrics visualization
  • Establish secure data segregation for multi-tenant architecture

Core System Capabilities

  • Automated data ingestion from diverse HR systems
  • Real-time benchmarking analytics engine
  • Interactive dashboard builder with customizable KPIs
  • Monthly survey deployment and analysis module
  • Data export to MS Office and BI tools
  • Role-based access control with compliance certifications

Technology Stack Requirements

Python for data processing
Databricks with Delta Lake for analytics
Azure Cloud infrastructure
Terraform for infrastructure-as-code
PySpark for distributed computing
Azure DevOps for CI/CD pipelines

System Integration Needs

  • HRIS systems (Workday, SAP SuccessFactors)
  • Business Intelligence tools (Power BI, Tableau)
  • Identity providers (Azure AD, Okta)
  • Survey platforms (Qualtrics, SurveyMonkey)

Operational Requirements

  • Horizontal scalability for 10x data growth
  • 99.95% system availability SLA
  • GDPR and CCPA compliance framework
  • Sub-second query response times for standard reports
  • Multi-tenant data isolation with RBAC

Expected Business Transformation

The platform will enable 400,000+ employees' data analysis with 70% faster deployment cycles, reduce manual data processing by 85%, and support 10x growth in data volume capacity. Companies will gain actionable insights into employee lifecycle management while maintaining strict regulatory compliance and data security.

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