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Automated PDF Data Extraction and Analytics Dashboard for Operational Reports

altkomsoftware.com

Energy & natural resources

Utilities

Challenges in Manual Report Verification

Manual analysis of 3,000+ daily operational reports caused excessive labor costs, time consumption (up to 3 hours per day), and high error rates due to document format variability and repetitive human processing.

About the Client

A growing leader in oilwell operation and measurement products/services across the GCC region

Automation Goals

Automate data extraction from diverse PDF formats
Eliminate human error in operational reporting
Integrate with existing database systems
Enable real-time data visualization and historical analysis

Core System Requirements

Coordinate-based keyword recognition for variable PDF layouts
Configurable template management for field mapping
Scheduled batch processing of incoming documents
Power BI dashboard with trend analysis and forecasting tools
Historical data repository with version control

Technology Stack

.NET

Power BI

Azure

System Integrations

Existing client database systems
Power BI analytics platform
Azure cloud storage for document processing

Performance Requirements

Process 3,000+ documents daily with <5% error rate
Support concurrent user access with <2s response time
Ensure data encryption during transmission and storage
Maintain 99.9% system availability

Expected Business Impact

Automated processing of 3,000 daily reports with zero human error, saving 3+ hours of manual labor per day. Enhanced decision-making through interactive dashboards and historical trend analysis, with scalable architecture to handle future document volume growth.