What is WhyHive?
WhyHive is a sophisticated data analysis platform that combines AI technology with a rule-based charting engine to transform complex datasets into actionable insights. The platform specializes in processing various data types, including surveys, sales data, and customer feedback, offering users the ability to analyze thousands of rows of data within minutes.
The tool features a robust text analysis system that automatically identifies and extracts key themes from open-ended responses, paired with an intuitive charting engine that creates visualizations with minimal user input. WhyHive maintains high data security standards with AES-256 encryption and offers users the choice of data storage locations in either the United States or Australia.
Features
- AI Text Analysis: Automatically identifies and extracts key themes from text responses
- Automated Chart Generation: Creates visualizations with minimal user input
- Data Security: AES-256 encryption with choice of US or Australian data storage
- Quick Processing: Analyzes thousands of rows of data in minutes
- Hybrid Analysis: Combines AI with rule-based charting for reliable results
Use Cases
- Analyzing customer feedback surveys
- Processing sales data analytics
- Research data visualization
- Impact measurement analysis
- Marketing data interpretation
- CRM data analysis
- Open-ended survey response processing
FAQs
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Is my data used to train AI models?
No, while GPT is used to help with parts of the analysis process, none of the uploaded data is used to train AI models. -
Where is my data stored?
Data can be stored in either Australia or the US on AWS servers, the same cloud infrastructure used by companies like Canva, Netflix and Meta. -
Does WhyHive hallucinate?
No, the charts are not created by AI and have no risk of being populated by hallucinated data. Results are pulled directly from your data except when using thematic codes. -
What data formats are supported?
WhyHive works with CSV and Excel file types, suitable for analyzing surveys, sales data, CRMs or impact measurement data.
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