Transforming Workforce Planning: Enterprise HRMS & Labour Analysis Platform Case Study

Fission Labs partnered with an innovative HRMS Startup to build a platform with a monumental goal: to reskill the planet. This organization helps companies with critical functions like workforce planning, skills-based talent acquisition, and training and development. Our scope was to build Quantum Labour Analysis platform, designed to bridge the gap between supply and demand with respect to jobs, skills, and profiles.

The Client's Core Objectives

The primary challenges and requirements set by the client for the Fission Labs team focused on foundational and architectural improvements:

• Scalability and Robustness: Develop a robust and scalable architecture, specifically for their analytics solutions.

• Platform as a Service (PaaS): Convert their existing application into a Platform as a Service model to unlock new business potential.

• Enhanced Search and Matching: Significantly enhance the platform's Search capabilities to successfully scale their core Matching Algorithm.

Fission Labs' Strategic Approach and Solution Delivery

Fission Labs employed a multi-pronged engineering approach to deliver a reliable and scalable HRMS & Labour Analysis Platform using cutting-edge cloud-based technology:

1. Data and Analytics Architecture

• Seamless Data Flow: Developed and implemented a seamless data flow essential for their Analytics Application.

• Data Lake: Built a robust Data Lake architecture.

• Data as a Service (DaaS): Built multiple data solutions, which streamlined Analytical Applications, Customer Reporting Dashboards, and involved serving Data as a Service.

2. Application Modernization

• Microservices Transition: The team split the existing Monolithic application into Microservices.

• PaaS Implementation: This successful transition established the application as a Platform as a Service, which was key to opening a new business model for the client.

3. Scaling the Matching Algorithm

• Search Enhancement: Enhanced the Search capabilities, which directly helped in scaling their Matching Algorithm.

• Horizontal Scaling: The architecture was successfully scaled from its existing vertical setup to a horizontal configuration.

4. AI-Powered Workforce Analysis

The solution utilizes Artificial Intelligence (AI) to automate the process of deconstructing employee profiles. This automation allows platform subscribers to identify emerging and critical skills in real-time. By marrying economic theory with workforce modeling and human analytics, Fission Labs helped the client illuminate the reskilling journey , ultimately providing customers with a capable and future-proof workforce to close the skills gap with speed and efficiency.

Business Benefits and Key Features

The final Enterprise HRMS & Labour Analysis Platform offers a high-value data asset and a suite of powerful features:

Ontology-Based Knowledge Graph

The platform features an advanced Ontology-Based Knowledge Graph Enrichment  which encompasses:

• 100,000 skills

• 25,000 job titles

• Trillions of connections

Key Features of the Platform

• AI Driven Skill Assessment

• Adaptive Workforce Planning

• Targeted Learning & Development

• Talent Mobility At Scale

• Skills Based Talent Acquisition

• Competitive Benchmarking

• Future Skills Analysis

• Jobs & Skills Insights

• Career Pathing At Scale

Conclusion

As an end-to-end digital services company, Fission Labs successfully led the digital transformation for this client by consulting, developing, and modernizing this complex, data-heavy platform. This case study demonstrates Fission Labs' expertise across Digital, Data, Cloud & AI-ML in creating high-impact enterprise solutions.