Analyze any existing feedback data instantly
How External Data Analysis Works
Simply upload your feedback data files, and Feedal's AI engine will automatically process, analyze, and provide insights—no matter where the data came from.
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Multiple File Formats
Support for CSV, Excel, JSON, and other common data formats, making it easy to import feedback from any source.
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Instant Processing
AI engine processes uploaded files instantly, providing analysis and insights within seconds, regardless of data volume.
Use Cases for External Data Analysis
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1. Legacy Data Migration
Analyze historical feedback data from previous tools or systems to identify long-term trends and patterns in customer sentiment.
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2. Multi-Source Consolidation
Combine feedback from multiple sources—surveys, support tickets, reviews—into a single analysis to get a complete picture of customer sentiment.
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3. One-Time Analysis
Quickly analyze feedback from specific campaigns, events, or initiatives without setting up new forms or surveys.
Advanced Analysis Features
External data analysis includes all the same powerful AI features as regular feedback analysis, ensuring consistent insights across all your data sources.
- Format Compatibility0 %
- Setup Time0
How External Data Analysis Works
Simply upload your feedback data files, and Feedal's AI engine will automatically process, analyze, and provide insights—no matter where the data came from.
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Unlimited Data Volume
Process any amount of feedback data, from small datasets to millions of responses, with the same speed and accuracy.
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Custom Field Mapping
Map your data fields to Feedal's analysis structure, ensuring accurate categorization and analysis of your specific data format.
We Always Want to Connect with Our Clients
We believe in making AI-powered feedback solutions accessible and beneficial for organizations of all sizes. We look forward to partnering with businesses to help them achieve their customer experience and growth goals.
- Email: [email protected]
- Europe: +49 15510 302300
- India: +91 72518 63500