Data and spreadsheets
Data, spreadsheets & business records
Clean, reconcile, validate, classify, and prepare supplied records so they are accurate, usable, and ready for the next business step.
Cleanup & structure
- CSV and XLSX cleanup
- Header and table reconstruction
- Column standardization and remapping
- Date, currency, status, and identifier normalization
- Duplicate detection and consolidation
- Missing, malformed, and impossible-value review queues
- Clean, review, and ignored-row separation
Reconciliation & validation
- Two-file and multi-file comparison
- Missing-record and duplicate-record checks
- Amount, status, and field mismatch detection
- Source-to-output count reconciliation
- Required-field and relationship validation
- Evidence-backed issue registers
- Exception and discrepancy reports
Catalogs, contacts & imports
- CRM contact and customer-list hygiene
- Lead-list cleanup and normalization
- Product, SKU, and inventory catalog cleanup
- Supplier and vendor price-list cleanup
- Old-versus-new price comparison
- Import-ready file preparation
- Field mappings, rejected rows, and validation notes
Analysis & reporting
- Customer review and survey analysis
- NPS and CSAT feedback categorization
- Theme, sentiment, and rating summaries
- Record grouping, tagging, and classification
- Workbook reports and operational metrics
- Items-to-review and action queues
- Structured summaries from supplied records