RainOil Transforms Workforce Management with Predictive Attendance Analytics
Business Problem
Limited visibility into employee attendance patterns across branches made proactive HR planning difficult.
Solution
AI-powered attendance analytics platform built on Microsoft Fabric
Partner
Reliance Infosystems
Business Problem
Energy / Retail
Location/Country
Lagos, Nigeria
Business Problem
Limited visibility into employee attendance patterns across branches made proactive HR planning difficult.
Solution
AI-powered attendance analytics platform built on Microsoft Fabric
Partner
Reliance Infosystems
Business Problem
Energy / Retail
Location/Country
Lagos, Nigeria
Business Problem
RainOil Limited, a major player in Nigeria’s downstream petroleum sector, struggled to track and manage attendance trends across its multiple branches. The absence of real-time visibility made it difficult for HR teams to detect attendance issues early, understand workforce patterns, or make informed planning decisions.
Key Challenges
Attendance records were scattered and hard to consolidate.
HR reporting was time-consuming and error-prone
Absenteeism risks weren’t detected until they caused operational disruptions
No data model to support forecasting or deeper insight generation
Solution Deployed
Reliance Infosystems partnered with RainOil to implement an intelligent attendance analytics platform using Microsoft’s modern data stack. The solution unified attendance data into a centralized lakehouse environment, enabling time-series forecasting and real-time visualizations to support smarter HR decisions.
Technologies and Platforms Used
- Microsoft Fabric: Unified platform for data processing and analytics
- Dataflows & Pipelines: Automated transformation of attendance data
- Lakehouse Architecture: Central storage for clean, analysis-ready data
- Spark Notebooks: AI-powered time-series modeling for trends and anomalies
- SQL Analytics: Scalable querying and analysis
- Power BI: Dynamic dashboards for tracking, forecasting, and reporting
Capabilities Delivered
- Accurate, real-time visibility into attendance patterns
- Forecasting tools to detect spikes or dips in attendance
- Automated, self-service reporting that reduced HR workload
- Enhanced compliance and governance over workforce data
Reliance Differentiation
- AI-Driven Forecasting: Spark-based time-series models predict absenteeism
- End-to-End Delivery: Full lifecycle—from Fabric trial activation to dashboard deployment
- Business-Focused Dashboards: Tailored for HR operations, not just IT
- Data Governance Expertise: Ensured secure, compliant data handling throughout
Business & Community Impact
- Commercial Impact :
- 30% improvement in attendance tracking accuracy
- 80% reduction in manual HR reporting time
- Early warning system for potential absenteeism spikes
- Community and Societal Impact :
- Improved service delivery through better workforce availability
- Data-driven engagement strategies fostered more productive teams
30%
Improvement in attendance tracking accuracy
80%
Reduction in manual HR reporting time
Engagement With Microsoft
Reliance Infosystems leveraged Microsoft’s resources to accelerate deployment and innovation. The team used the Microsoft Fabric Trial, received technical partner guidance, and achieved Co-Sell Ready status to bring the solution to market confidently and effectively.
Delivering Predictive Workforce Intelligence
The implementation of RainOil’s AI-powered attendance platform marks a leap forward in workforce planning and productivity. What was once a reactive and manual process has become proactive, data-driven, and scalable. HR leaders now rely on real-time insights, predictive analytics, and dynamic dashboards to manage teams more efficiently and respond to trends before they become problems.
With this project, Reliance Infosystems once again proves its ability to bridge business needs with intelligent Microsoft solutions, driving operational excellence and helping clients stay ahead in a rapidly changing, data-first world.