Energy · India

Government refinery moves to predictive and prescriptive analytics.

Integrated data and KPI dashboards lift resource utilisation at an all-India level.

// Client overview

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

Sector

Energy

Region

India

Engagement

Cyber transformation

Services

AI & Data Analytics · Data integration · Predictive analytics

Technologies

Microsoft Data Lake · SAS Data Management · SAS Advanced Analytics · SAS Visualization

// Key challenges

Improve the decision-making support system through data integration techniques, predictive analysis and departmental KPI-based reports.

// The solution · highlights

Inspira's proposed technology stack was an amalgamation of contemporary platforms - Microsoft Data Lake, SAS Data Management, SAS Advanced Analytics and SAS Visualization.

Supply, consumption and cost prediction analytics for raw material.

Performance evaluation matrix for plants and stations.

Health card dashboard based on departmental KPIs.

Environment, safety and tree plantation data.

Pollution control parameter monitoring (CEMS, EQMS, AAQMS).

All-India load generation analysis.

// Outcomes

Operations quality improved to achieve economic optimum.

A lower-cost, robust energy management programme.

Reduced operations variability.

Reduced process waste.

// Key benefits

Improved staff productivity.

Improved data quality and real-time information availability.

Improved transparency, control and governance.

A performance management dashboard for action.

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

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