Template · Clean · Opening soon
Standardise company and people names
One spelling for every name: case, spacing, punctuation and company suffixes tidied, with a count of how many spellings each name had.
You bring
Rows40 rows
Name to clean
Mammoth does the work
You get
One table40 rows
A Standard name for every row, so spellings of the same name group together.
Your columnsStandard nameSpellings in group
- Not a spreadsheet to fill inIt is a ready-made workflow in Mammoth. You bring the files, and it does the work.
- Your files, as they areUpload a file or connect a source. Your column names do not have to match.
- Runs again by itselfWhen new data arrives, every step runs again and the result updates.
What you get back
The real result of this template, run on sample data.
Standardise names: the resultSample data40 rows
| Supplier | Amount | Standard name | Spellings in group |
|---|---|---|---|
| Borealis Foods Inc | 71.95 | Borealis Foods | 9 |
| Borealis Foods Inc | 606 | Borealis Foods | 9 |
| Borealis Foods Inc | 802.34 | Borealis Foods | 9 |
| BOREALIS FOODS | 660.23 | Borealis Foods | 9 |
| BOREALIS FOODS | 842.90 | Borealis Foods | 9 |
| Borealis Foods Inc | 202.82 | Borealis Foods | 9 |
| BOREALIS FOODS | 511.36 | Borealis Foods | 9 |
| Borealis Foods Inc | 655.78 | Borealis Foods | 9 |
What is data standardization?
Data standardization rewrites values into one consistent form, so the same customer or supplier written five ways counts once.
How it works
How to use the standardise names template
- 1Bring your dataConnect a source, or upload a file.
- 2Check the columnsMammoth matches each column the template needs and asks only when it is unsure.
- 3Choose where it goesA table, a sheet, or a dashboard. It rebuilds on every refresh.
See the exact columns and steps ›
What it needs
Any table with a name column
Rows
- Name to clean
The steps it runs
- 1Match columns
- 2Standard name
Every step is an ordinary Mammoth step you can open and change.
Standardise names: questions
Does it update by itself?
Yes. The template becomes an ordinary workflow in Mammoth. When your data refreshes, from a connector, a scheduled pull or a new file, every step runs again and the result table updates.
Can I change the steps?
Every step is an ordinary Mammoth step you can open and edit. Mammoth remembers which steps came from the template, so an update never overwrites your changes.
Do my column names have to match?
No. You point the template at your columns once. Mammoth suggests a match for each one and asks only when it is unsure.
Get early access to this template
Bring your data, check the columns, and the result rebuilds on every refresh.
More cleaning templates
Remove duplicate rows, catch invoices paid twice, match messy names to a master list, standardise spellings and turn wide tables long.
- Remove duplicatesOne row of each, with a Copies column saying how many there wereSee the template
- Match names to a master listEach record with its master name (and ID), and how it matchedSee the template
- Duplicate invoice checkPairs of bills that look paid twice: same supplier, same amount, close dates or the same numberSee the template
- Unpivot wide dataA long table: one row per label and period, with its valueSee the template