Challenges
The company required extensive data transformation to support intricate business logic essential for operational analysis and reporting.
A stable and efficient pipeline was needed to move data from Azure to Google BigQuery, ensuring seamless data flow and accessibility across platforms.
The business required Power BI reports to visually represent multiple Key Performance Indicators (KPIs) and data metrics, offering clear insights into various operational aspects.
Solution
Designed and implemented a custom data transfer service to securely and efficiently load data from Azure to BigQuery, providing a solid foundation for integrated analytics.
Developed SQL scripts to transform raw data based on complex business logic, aligning with the company's operational needs and enhancing data accuracy.
Created Facts and Dimensions tables to serve as the foundation for report generation, ensuring that data structures supported robust, insightful reporting.
Developed Power BI reports to visually represent critical metrics, KPIs, and data points, enabling stakeholders to easily monitor and assess performance.
KPIs and Metrics Created
Monitored deployment effectiveness to ensure optimized field operations.
Compared actual loading limits with planned work patterns, identifying deviations for corrective actions.
Tracked adherence to established work patterns to maintain operational consistency and productivity.
Assessed field capacity to support demand planning and resource allocation.
Analyzed demand against available resources, aiding in balancing workforce deployment.
Evaluated workforce competency levels to ensure the deployment of adequately skilled personnel for tasks.
Measured utilization rates to optimize workforce distribution and reduce downtime.
Value Delivered
The Azure-to-BigQuery transfer service enabled seamless, real-time data migration between platforms, creating a unified environment for data analysis and reporting.
SQL-based transformations standardized complex business logic, ensuring that data accurately reflected operational realities.
With a strong dimensional model in place, Power BI reports were built on reliable, insightful data, supporting strategic and operational decisions.
The Power BI dashboards offered a holistic view of field operations, enabling stakeholders to track and optimize KPIs such as workforce competency, deployment efficiency, and adherence to work patterns.
Conclusion
Through these solutions, DataDrona empowered the Oilfield Services Company with enhanced visibility into field operations, improved workforce management, and optimized resource allocation. This transformation allowed the company to make more informed, timely decisions, significantly boosting operational efficiency.