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Development of an Automated HR Data Benchmarking Platform
  1. case
  2. Development of an Automated HR Data Benchmarking Platform

Development of an Automated HR Data Benchmarking Platform

opinov8.com
Human Resources
Business services
Financial services

Identified Challenges in HR Data Accessibility and Benchmarking

There is a limited number of HR topics covered by existing platforms, restricted user ability to request specific data, and high costs associated with accessing credible benchmark data. This hampers clients' ability to make objective, data-driven HR decisions in a competitive market environment. The existing solutions lack automation in analysis, resulting in inefficiencies and inaccuracies in metrics, complicating strategic HR planning.

About the Client

A medium to large enterprise or a group of organizations seeking to enhance their HR analytics capabilities through a scalable, secure, and feature-rich platform for employee data benchmarking and lifecycle analysis.

Goals for Developing an Advanced HR Data Analytics Platform

  • Create a comprehensive, scalable platform for accessing, analyzing, and benchmarking employee data across multiple organizations.
  • Automate data analysis processes to generate instant, accurate metrics and insights.
  • Enable flexible data requests and updates through user-initiated surveys to keep data current and relevant.
  • Ensure high data security and privacy compliance throughout the platform.
  • Facilitate data download and report generation capabilities for further analysis in external applications.
  • Support rapid development and deployment using modern technologies, ensuring ease of maintenance and scalability.

Core Functional Capabilities of the HR Benchmarking System

  • Data Visualization Dashboard showing key HR metrics with interactive charts and filters.
  • Automated calculation of approximately 140+ formulas for benchmarking analytics.
  • User registration, secure login, and multi-role access controls.
  • Ability to submit, review, and incorporate additional data via monthly surveys.
  • Data querying and filtering tools for deep delving into employee lifecycle analyses.
  • Export functionality for reports and aggregated data in PDF and other formats.
  • Admin panel for data management, user oversight, and system monitoring.

Preferred Technologies and Architectural Approach

Microservice architecture for scalability and modular development
React.js for responsive frontend development
.NET framework for backend system procedures
Scala for executing distributed aggregations and complex formulas
Azure cloud platform for hosting, scalability, and security
Highcharts or similar libraries for data visualization

External System Integrations Needed

  • External analytics tools for real-time data processing and reporting
  • Secure data storage solutions (e.g., cloud-based databases)
  • Authentication systems for user security
  • External survey tools or platforms for collecting additional data

Non-Functional System Performance and Security Needs

  • Platform should support high concurrency with minimal latency, ensuring quick data retrieval and analysis.
  • System must be scalable to handle growth from 100 to potentially thousands of users and data points.
  • Data security protocols aligned with industry standards to guarantee confidentiality and privacy.
  • Automatic data validation to maintain accuracy of analytics formulas.
  • High availability and disaster recovery measures to ensure platform uptime.

Expected Business Benefits and Outcomes of the New Platform

The new platform aims to revolutionize HR benchmarking by providing automated, instant, and reliable analytics, leading to more objective decision-making. It is expected to support over 100 companies with access to comprehensive data on more than 400,000 employees, enabling better workforce planning and HR strategy development. By facilitating quick data access and insightful metrics, the platform will improve user satisfaction, enhance data accuracy, and reduce reliance on expensive proprietary sources, ultimately strengthening client market positioning and operational efficiency.

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