Data Integration techniques & predictive analysis for a leading government-owned refinery

Key notes

Data Integration techniques & predictive analysis to one of the government owned refinery

The Objective

Belonging to the public sector unit, the client was involved in a large joint venture business to accelerate oil development in India and wanted analytics solution.

The Challenge

The challenge was to improve the decision-making support system through data integration techniques, predictive analysis and departmental KPI based reports.

The Inspira Solution

Inspira’s proposed tech solutions were all an amalgamation of the contemporary technologies – Microsoft Data Lake, SAS Data management, SAS Advanced Analytics and SAS Visualization. This led to the desired development in the respective areas of supply, consumption, analysis, safety, and control:

Supply, Consumption & Cost Prediction Analytics of Raw Material Nutanix AOS, Prism PRO, FLOW, CALM, Files & Object Storage
Performance Evaluation Matrix of Plants and Stations
Health Card Dashboard based on departmental KPIs
Environment, Safety & Tree Plantation related Data
Pollution Control Parameters (CEMS, EQMS, AAQMS) Monitoring
All India Load Generation Analysis

Key Benefits

Some prominent qualitative and quantitative benefits that the client earned:

Quantitative Benefits

Operations quality improved to achieve economic optimum
Lower cost robust energy management program
Reduced operations variability
Reduced process waste

Qualitative Benefits

Improved staff productivity
Improved data quality and real time information availability
Improved transparency, control and governance
Performance management dashboard for action

The Result

An upgrade in the predictive and prescriptive analytical sources resulted in optimum utilization of resources and performance improvement at an all-India level.