Solargis Data Analyst (SDAT) for effective solar data quality control, visualisation and analysis

The majority of solar projects worldwide are affected by heterogeneous, inconsistent, unharmonized solar resource data. Poor quality data affects the accuracy of performance estimates in development and operation, impacting financial returns and reducing investor confidence.

Data analysts often struggle to reconcile unreliable ground-based measurements with their satellite readings and regularly need tools to help clean, filter, and harmonize data from ground measurement campaigns.

That’s why we have developed SDAT, a new software tool designed by solar data analysts for solar data analysts. SDAT offers the industry a quicker, more efficient way to visualize key data streams, identify errors in solar measurements and run solar resource analysis, all in one place.

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Key benefits

Identify and fix errors in your solar resource data

Run automatic error detection tools and manual flagging options to highlight potential issues in your solar irradiance and meteorological data. Avoid common issues related to misaligned time stamps by using SDAT’s time reference control tools.

Improve the efficiency and accuracy of performance assessments

Use SDAT’s import capabilities to simplify working with your data. Better understand your solar asset performance by combining data columns without seeing the inconsistent results given by spreadsheet formulas.

Run complex resource analysis easily and quickly

Perform an effective analysis of solar resource data without writing a single line of code. Use pre-prepared plots and visualisations or create customized calculations, aggregations and comparisons, all from a single user-friendly platform.

Improve your strategic decision-making using higher quality solar resource data

Reduce technical and financial risks throughout project lifetimes by eliminating inaccurate data. Create transparency with investors and lenders with consistent numbers obtained from software designed specifically for solar energy professionals.

Key features

Data importing tools

SDAT can import files with heterogeneous structures, ensuring each field is correctly interpreted and assigned to the correct time stamp. It can also combine data, perform data aggregations and create new columns based on customized formulas.

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Time reference control

SDAT provides time reference control tools to identify and correct shifts in time series data. This encompasses a suite of data editing features, auto-detection capabilities and useful visualizations designed by solar data analysts.

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Solar-specific analytics

SDAT allows the analysis of solar data parameters by providing solar-energy-specific charts. This offers a practical way of verifying values against expected patterns, to easily characterize the data and identify related anomalies.

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Data comparisons and statistics

SDAT compares datasets and creates useful visualizations such as scatterplots and other useful graphs. Besides providing a full set of statistics for each individual dataset, SDAT calculates comparison key indicators like bias, RMSD, MAD, KSI and correlation coefficient.


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Automatic quality reports

SDAT generates automatic quality reports, classifying and clarifying the issues found in the data (it also provides a summary report in PDF). This helps to identify non-valid periods and related sources of errors when running measurement campaigns.

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Early access

Sign up for our early access program with our team of data experts to explore how SDAT makes your solar data analysis simple. Places are limited. Please get in touch now for more information.