Dates and numbers in every format
2026-09, 09/2026 and September all mean the same month, and amounts arrive with and without currency signs.
Stop rebuilding the same report inputs every month
When a report pulls from several tools, someone fixes the same dates, names and categories by hand before every cycle. Karg does that preparation the same way each time, and shows you only what it was unsure of.
Who it's for
- Operations teams
- Analysts
- Marketing agencies reporting for many clients
- Small businesses
What goes wrong
Categories that don't line up
One tool says Google Ads, another says Paid search. The report needs one channel list.
Missing values written as text
n/a, none and a dash sit in number columns and break totals.
The same fixes, every cycle
Each export repeats last month's problems, and the cleanup is redone by hand before reporting can start.
See it on sample data
Watch Karg clean it, applying what it is sure of and holding the rest for a person, or step through it yourself and make the uncertain calls.
Illustrative sample data, not a customer's records. .
How Karg handles it
A setup you reuse
Save a run's approved setup as a template. Next month's export starts from it, and you confirm the plan instead of rebuilding it.
One format for dates and numbers
Rules write months, dates and amounts in the report's format and read placeholder text as missing.
Categories mapped
Models map each tool's labels to the report's own list, with a confidence score on every mapping.
Unusual values flagged
Anomaly detection marks values that look wrong for their column, so you check them before they reach a report.
What you receive
- Report-ready files in one consistent layout
- A saved setup for the next cycle
- Flags on unusual values before they are reported
- A record of every change
Exactly what comes back depends on the data and on how you work with us. Every change is checked against a confidence threshold, and anything below it is decided by a person.
Go deeper
Entries from our field guide to messy data that cover these problems in detail.
- Mixed date formatsOne column holds dates written in several different styles.
- Inconsistent category labelsA column meant to hold a few fixed values holds many spellings of them.
- Disguised missing valuesA cell is not empty, but what it holds means there is no value: N/A, a dash, 999, or the word none.
- Numbers stored as textA column of quantities contains symbols, separators, or words that stop software reading it as numbers.
- Inconsistent column names across filesFiles that should share one layout name the same column differently, or use the same name for different things.
Get it done your way
Let our team do the work, or run the platform yourself. Both use the same cleaning engine.
Karg Applied
Have Karg handle it
Send us your files and tell us what you need. Our team runs them through the same engine, checks the uncertain cases, and sends the data back clean.
- No new software to learn
- No data hire required
- Scoped and priced per project
Karg Platform
Use Karg yourself
Upload or connect your data, answer a few questions, and review what Karg is unsure of. Your team stays in control of every change.
- Self-serve cleaning for your own team
- Confidence-scored fixes and a review queue
- Plans from $30 a month, invite-only today