Overview
Data processing is a critical step in ensuring accuracy, quality, and usability of market research findings. M3T uses systematic validation processes, coding frameworks, and electronic cleaning procedures to transform raw field data into reliable datasets.
Key Features
- Open & closed-ended data encoding
- Automated & manual validation checks
- Cleaning, deduplication & error correction
- Verbatim coding for qualitative data
- Cross-tabulation & summary tables
Typical Workflow
- Data structure review
- Validation & consistency checks
- Encoding & cleaning
- Weighting (if needed)
- Cross-tabs and statistical setup
- Final dataset preparation
Deliverables
- Cleaned datasets (CSV, XLSX, SPSS, R)
- Verbatim coded files for qualitative inputs
- Frequency tables & cross-tabulations
- Data dictionaries & variable maps
- Summary dashboards (optional)