Solar Data Analytics for Smarter Operations
Proudly Serving These Innovators
Solar Analytics Built for Every Part of the Business
From plant performance to billing, Dataplatr covers every critical area of your solar operations with clear, actionable insights.
Plant Performance Analytics
Track actual energy generation against expected output across plants, inverters, strings, and sensors. Identify underperforming assets faster and understand where energy loss is happening.
Energy Forecasting
Use historical generation, weather, and asset performance data to forecast future energy output. Help teams plan production, manage demand, and improve decision-making.
Predictive Maintenance Analytics
Detect early signs of equipment issues using plant, inverter, sensor, and weather data. Prioritize maintenance before small issues turn into costly downtime.
Billing and Revenue Analytics
Connect energy production, usage, tariffs, invoices, payments, and aging data to improve billing accuracy and revenue visibility.
Solar Sales Analytics
Track lead conversion, customer acquisition cost, sales cycle, proposal movement, and customer lifetime value to improve solar sales performance.
Operations and Installation Analytics
Monitor project timelines, installation stages, field service activity, inventory availability, and supply chain delays across solar operations.
Transform Solar Operations with Dataplatr's Solar Data Analytics
Solar Data Strategy
Define the right analytics roadmap for your solar business across performance, operations, finance, customers, and leadership reporting.
Data Integration and Automation
Bring data from SCADA, inverters, weather systems, billing platforms, CRM, ERP, field service, and finance tools into one trusted layer.
Dashboard and Reporting Automation
Replace manual reports with simple dashboards for plant performance, billing, maintenance, sales, and operations.
AI-Powered Solar Insights
Use AI to spot performance issues, forecast energy output, identify maintenance risks, and support faster decisions.
Predictive Analytics Models
Build forecasting, anomaly detection, revenue leakage, and maintenance risk models using your solar and business data.
Managed Analytics Support
Get ongoing support to maintain dashboards, improve reports, add new KPIs, and scale analytics as your solar portfolio grows.
Our Proven Solar Energy Data Analysis
Framework
Consolidate data into a unified platform.
From Traditional Metrics to Advanced KPIs
Advanced KPIs
Real-Time Production vs. Expected Output
Anomaly Detection Rate
Carbon Offset Metrics
Customer Satisfaction Index
Predictive Maintenance Accuracy
Energy Forecasting Accuracy
Traditional KPIs
Total Energy Generated (kWh)
Equipment Uptime/Downtime
Capacity Utilization
System Availability
Return on Investment (ROI)
Energy Yield (kWh/kWp)
Our Clients
The launch of CX Voice AI is a milestone in our broader effort to harness AI and BI for deeper business insights. This is more than just a tool, it's a major step toward making analytics a core strength at PosiGen. A huge thank you to the IT, CX, and Dataplatr teams for their hard work.
Mark Sefer
VP of IT & PMO, PosiGen Solar
50%
Reduction in
Manual Call Reviews
40%
Faster Customer
Issue Resolution
100%
Visibility into Call
Center Performance
TTEC's reporting struggled due to fragmented data in Oracle EBS and Hyperion, manual processes, and slow, error-prone cycles. Dataplatr merged both systems into an integrated financial model with GL, sub ledger, AR Aging, and Hyperion hierarchy. This enabled near-real-time insights and eliminated the need to access multiple systems. With 30-minute data refreshes, reporting is faster, more accurate, and teams now use self-service analytics in a scalable setup.
Omair Ishaq
GVP, TTEC
100%
More Timely
Data Access
90%
90% Reduction
In Book Closure Time
10+
Hours Saved
per TDS Report