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Development of Advanced Energy Consumption Analytics and Forecasting Platform

sigma.software

Energy & natural resources

Utilities

Legacy Systems Limiting Energy Consumption Insights

Existing systems lacked modern business intelligence capabilities, making it difficult to provide customers with accurate energy consumption tracking, forecasting, and actionable insights. Migration to a unified platform was required to support data-driven decision-making and improve customer service offerings.

About the Client

Leading Nordic energy company providing electricity, heat, cooling, and energy solutions with a focus on digital transformation

Modernization Goals for Energy Analytics

Implement business intelligence reporting for energy consumption analysis
Develop interactive forecasting tools with variable scenario modeling
Migrate legacy systems to a modern analytics platform
Create customizable billing modules and reporting widgets
Enable data visualization with multi-dimensional analysis capabilities

Core System Capabilities

Real-time energy consumption dashboards with QlikView integration
Weather-influenced consumption forecasting models
Customizable billing modules with usage-based calculations
Data aggregation from central enterprise databases
Interactive widgets for seasonal trend analysis
Multi-scenario forecasting with variable parameters

Technology Stack Requirements

Oracle

QlikView

Enterprise Data Warehousing

System Integration Needs

Legacy system data migration framework
Central database connectivity layer
Weather data API integration
Enterprise user authentication system

Operational Requirements

High-availability architecture for 24/7 access
Scalable data processing for millions of meter readings
Role-based access control for sensitive data
Sub-second response times for dashboard interactions
Data encryption for regulatory compliance

Expected Business Outcomes

Implementation will enable daily operational analytics for 100,000+ customers, reduce manual reporting efforts by 70%, improve forecast accuracy by 40%, and support proactive energy management decisions through actionable insights. The platform will enhance customer satisfaction through personalized consumption insights while optimizing internal analyst workflows.