Datally transforms hours of repetitive work with non-standardized formats into minutes of intelligent automation
Copy-paste between files
Error-prone manual data transfer
Map each column manually
Tedious field-by-field matching
Fix format inconsistencies
Hunt down data quality issues
Standardize source codes
Manually translate inconsistent values
Repeat every time files arrive
No reusability, start from scratch
Upload source files
Any format: CSV, Excel, JSON
Analyze & validate data
✨AI suggests validation rules instantly
Map columns automatically
✨Hybrid AI: statistical + semantic matching
Translate values automatically
✨AI standardizes source-specific codes
Consolidate, export & save
Unified data + reusable template
Not another platform. A tactical tool that solves real problems.
Create validation rules using natural language. AI suggests intelligent rules based on your data patterns.
Intelligent 3-layer system: exact matching, string similarity, and LLM context. High accuracy with minimal manual work.
Two-tier AI suggests translations using embeddings or LLM reasoning. Learns from your mappings over time.
Version control for data workflows. Save, restore, and share complete consolidation sessions.
Advanced filtering and analysis of validation exceptions. Duplicate detection with grouping.
Build your organization's data knowledge base. Reusable mappings and rules.
Datally's version control system lets you save, restore, and share complete consolidation workflows. Your team's data knowledge becomes a reusable asset.
Save complete workflow states at any point. Restore previous versions if something goes wrong. Every session is a recoverable checkpoint.
Lock dictionary versions, mapping configurations, and translation rules. Track changes over time. See who changed what and when.
Export sessions as templates. Share with your team. Apply proven workflows to new data sources. Institutional knowledge that doesn't walk out the door.
Added 15 new source mappings
Locked after Q4 review
Updated product codes
Initial setup
When your data expert leaves, their knowledge stays. Sessions capture the complete workflow: which columns map where, how values translate, what validation rules apply. New team members can understand and modify existing workflows without starting from scratch.