Sorigin
Business Intelligence and CRM Automation for Renewable Energy Operations
Wind & Solar Energy
Power BI & Custom CRM
6
Agile
Introduction
Sorigin is a leading renewable energy company operating across solar and wind turbine projects. The company was facing challenges due to scattered data sources, manual reporting via Excel, and lack of real-time visibility into turbine performance and maintenance needs.
In partnership with Sorigin, ScaleupAlly implemented a dual-layered solution: interactive Power BI dashboards for analytics and Python-based CRMs to streamline internal operations. These tools helped Sorigin transition from reactive to data-driven decision-making, significantly improving energy output, downtime monitoring, and resource planning.
Methodology and Solution
ScaleupAlly deployed a hybrid system combining cloud-based dashboards and internal CRMs tailored for both wind and solar verticals. Key components of the solution include:
- Power BI Dashboards: Real-time visualisations for turbine performance, wind speed, breakdowns, energy output, and ROI analysis.
- Wind CRM Development: Built in Python to automate data input, error logging, and maintenance tracking across various turbine formats like SCADA, BDinput, Alarm logs, and more.
- Solar CRM Automation: A multi-user portal developed in Python/Django to manage breakdown logs, generation data, and work order reports.
- Data Integration: Combined SCADA, Excel, and AWS sources into a single reporting pipeline using Python and SQL.
- Maintenance Intelligence: Weekly breakdown trend analysis with turbine-level granularity for proactive maintenance.
- Dynamic Filtering: Site-wise filters based on turbine code, region, and WTG models enabled precision in identifying faults.
Results
The integration of real-time dashboards and automated CRM tools empowered Sorigin to shift from reactive operations to a proactive, data-driven model. This enhanced their ability to track performance, plan maintenance, and optimize energy output across both wind and solar divisions.
- 20% reduction in turbine downtime through proactive error analysis and maintenance scheduling.
- Improved energy output efficiency by leveraging real-time wind speed and generation data correlations.
- CRM automation streamlined data uploads, validations, and tracking across multiple file types and sources.
- Weekly breakdown analysis enabled faster root-cause identification and reduced issue recurrence.
- Multi-year performance trends uncovered seasonal patterns and supported long-term planning.
- 60% reduction in manual reporting time as Power BI replaced Excel-based tracking with dynamic, auto-refresh dashboards.
Conclusion
The collaboration between Sorigin and ScaleupAlly successfully replaced fragmented, manual workflows with automated, insight-driven systems tailored to the needs of a modern renewable energy firm. This project demonstrates how custom dashboards and CRMs can work together to drive clean energy performance, improve uptime, and reduce operational costs through smart data intelligence.
By leveraging real-time analytics and automation, Sorigin is now positioned to scale operations efficiently, improve asset reliability, and support its long-term commitment to sustainability and green innovation.