Non-Call Sources
Non-Call Sources
Processing and analyzing text-based data sources in BuildBetter
Text Data Sources
BuildBetter processes various text sources:
- Support tickets
- Survey responses
- Chat transcripts
- Email communications
- Customer feedback forms
Data Import
Direct Upload
CSV and text file import
Integration Sync
Connected system import
Supported Formats
File Types
- CSV files
- Text documents
- JSON data
- Excel sheets
- XML formats
Data Structure
- Structured data
- Semi-structured
- Free-form text
- Mixed content
- Metadata fields
Processing Steps
1
Data Import
Load text content
2
Format Check
Validate structure
3
Analysis
Extract insights
4
Integration
Combine with other data
Integration Options
Signal Extraction
Text Analysis
- Topic detection
- Sentiment analysis
- Intent recognition
- Entity extraction
Signal Types
- Feature requests
- Bug reports
- Feedback items
- Support needs
Ensure text data is properly formatted and cleaned before processing.
Data Quality
Validation
Data quality checks
Cleaning
Text preprocessing
Processing Features
Text Processing
- Language detection
- Text normalization
- Keyword extraction
- Pattern matching
Enhancement
- Data enrichment
- Context addition
- Metadata tagging
- Cross-referencing
Text processing quality affects signal extraction accuracy.
Best Practices
Data Preparation
- Clean formatting
- Complete fields
- Consistent structure
- Valid content
Processing Setup
- Source configuration
- Field mapping
- Rule definition
- Quality checks
Regular data quality checks improve signal extraction results.
Troubleshooting
Performance Optimization
Processing
- Batch operations
- Resource allocation
- Queue management
- Cache usage
Integration
- Sync scheduling
- Error handling
- Retry logic
- Load balancing
Privacy & Security
Data Protection
- Access control
- Data encryption
- Privacy rules
- Retention policies
Compliance
- GDPR rules
- HIPAA standards
- Data handling
- Audit trails
Regular monitoring ensures efficient text data processing and analysis.