Combine first and last name
“from the employee roster, trim first and last names, join them into full name, and show every employee’s full name plus department”
From the Employee roster, trim first and last names, join them into full name, and show every employee’s full name plus department.
What the agent built
1 step, each one an ordinary Mammoth step you can open and change.
- FileEmployee rosterCSV export · 15 rows
- StepJoin trimmed namesStep 1
- ResultEmployee Full Names15 rows
- ScheduleRuns when you sayProposed
Checked on the sample files: every step ran, 15 rows came out.
- Download Employee roster sample (15 rows)Excel: File > Save As > CSV UTF-8
What you get back
The result of that run, the rows to look at first.
| Full name | Department |
|---|---|
| Avery Chen | Sales |
| Mina Patel | Marketing |
| Jonah Reed | Finance |
| Elena Torres | Operations |
| Caleb Nguyen | Support |
| Priya Shah | Product |
| Lucas Brooks | Engineering |
| Nina Keller | HR |
| Omar Haddad | Sales |
| Sofia Martinez | Customer Success |
| Ethan Cole | IT |
| Ruby Foster | Legal |
How do you combine first and last name in Excel?
Export your roster from Excel as a file, then upload it to Mammoth. Trim the first and last name values, join them into one full name field, and keep the department in the same row. The result is a table with each employee’s full name and department.
How it works
How to use the Employee Full Names workflow
- 1Get early accessWe invite people in small batches, job by job. You'll land on this workflow, already built and checked on the sample files.
- 2Swap in your exportsUpload your own files as they come out of your tools. The agent checks the workflow on your rows.
- 3Change it in words, then turn it onSay what to change and see the new result before anything saves. Then choose when it runs.
Employee Full Names: questions
What export should I use from Excel?
What happens to rows that do not match the rules?
How do I change the name rules?
Get early access to this workflow
It will open already built and checked on the sample files. Swap in your own exports and see your result.
Workflows like this
Remove duplicate rows, catch invoices paid twice, match messy names to a master list, standardise spellings and turn wide tables long.
- Pivot table from raw dataTurn a raw sales export into a pivot table of revenue by region and month.See the workflow Built by the agent
- Remove duplicatesOne row of each, with a Copies column saying how many there wereSee the workflow Template
- Match names to a master listEach record with its master name (and ID), and how it matchedSee the workflow Template
- Compare two listsCompare two exported spreadsheet lists by email, see matches, and label rows where name and email agree or differ.See the workflow Built by the agent
- Duplicate invoice checkPairs of bills that look paid twice: same supplier, same amount, close dates or the same numberSee the workflow Template
- Standardise namesA Standard name for every row, so spellings of the same name group togetherSee the workflow Template