Finance
30 columns
200 rows
8 formats

Finance Expense Approval Workflow

This dataset provides a detailed record of business expense approval workflows, capturing every step from submission to audit review. It includes employee, expense, approval, and vendor details, enabling robust compliance monitoring, audit trails, and process automation for finance teams. Ideal for organizations seeking transparency and control over expense management.

last updated 20 Aug 2025
by GoMask

The brief that made it

Automating business expense approval workflows

Sample rows

preview · 8 of 200 rows · all 30 columns

expense_idstring	departmentstring	expense_amountfloat	policy_violation_flagboolean	address_countrystring	employee_idstring	employee_namestring	expense_datedate	submission_datedatetime	expense_typestring	currencystring	approval_statusstring	approver_idstring	approver_namestring	approval_datedatetime	approval_commentsstring	audit_flagboolean	audit_review_datedatetime	vendor_namestring	vendor_tax_idstring	receipt_numberstring	receipt_datedate	receipt_amountfloat	address_streetstring	address_citystring	address_statestring	address_postal_codestring	expense_descriptionstring	policy_violation_descriptionstring	audit_commentsstring
EXP2024-0001	Marketing	1250.54	false	USA	E1001	Jennifer Lee	2024-03-14	2024-03-15T09:33:12	travel	USD	approved	A101	Mark Thompson	2024-03-16T13:21:38	Approved as per travel policy.	false	blank	Delta Airlines	98-2345678	TRAVEL-2024-001	2024-03-14	1250.54	2338 5th Ave	New York	NY	10010	Flight ticket for regional marketing conference.	blank	blank
EXP2024-0002	IT	420.99	false	USA	E1002	Samuel Rodriguez	2024-02-24	2024-02-24T15:09:55	office supplies	USD	approved	A103	Linda Chang	2024-02-25T10:42:33	Necessary upgrade for team efficiency.	false	blank	Office Depot	57-8765432	OFFICE-2024-002	2024-02-24	420.99	472 Main Street	Chicago	IL	60607	Purchase of new wireless keyboards for IT team.	blank	blank
EXP2024-0003	Research	312	false	India	E1003	Priya Singh	2024-04-03	2024-04-04T11:17:21	training	INR	approved	A105	Ramesh Patel	2024-04-06T14:07:08	Professional development approved.	false	blank	Coursera India	IN-234567890	TRAINING-2024-003	2024-04-03	312	88 MG Road	Bangalore	Karnataka	560042	Online certification course for data analysis tools.	blank	blank
EXP2024-0004	Legal	385.8	false	Italy	E1004	Luca Moretti	2024-01-19	2024-01-20T12:05:41	entertainment	EUR	approved	A106	Giulia Rossi	2024-01-22T17:40:10	Client engagement justified.	true	2024-01-24T11:35:22	Trattoria Milano	IT-0012345678	ENT-2024-004	2024-01-19	385.8	Via Roma 15	Milan	Lombardy	20122	Client dinner at local Italian restaurant.	blank	Reviewed for compliance, no issues found.
EXP2024-0005	Finance	258	false	China	E1005	Chen Wei	2024-05-02	2024-05-02T08:27:51	meals	CNY	pending	blank	blank	blank	blank	false	blank	Beijing Bistro	CN-876543210	MEALS-2024-005	2024-05-02	258	12 Haidian Road	Beijing	Beijing	100080	Team lunch with external auditors.	blank	blank
EXP2024-0006	IT	99.99	false	USA	E1002	Samuel Rodriguez	2024-03-18	2024-03-18T16:12:10	other	USD	approved	A103	Linda Chang	2024-03-19T11:40:02	Renewal approved.	false	blank	Dropbox Inc.	31-2549876	OTHER-2024-006	2024-03-18	99.99	1800 Market St	San Francisco	CA	94103	Monthly subscription for cloud storage service.	blank	blank
EXP2024-0007	Operations	765.5	false	Saudi Arabia	E1006	Fatima Al-Farsi	2024-02-12	2024-02-12T10:04:27	office supplies	SAR	approved	A110	Mohammed Al-Mutairi	2024-02-13T09:16:55	Stock replenishment approved.	true	2024-02-15T12:45:33	Riyadh Office Mart	SA-8765432101	OFFICE-2024-007	2024-02-12	765.5	41 King Fahd Rd	Riyadh	Riyadh	11564	Bulk purchase of printer toner cartridges.	blank	Verified purchase volume and market price.
EXP2024-0008	Sales	115	false	USA	E1007	Robert Evans	2024-04-10	2024-04-10T14:32:44	meals	USD	approved	A101	Mark Thompson	2024-04-11T09:21:12	Expense within allowable limit.	false	blank	Olive Garden	33-1254789	MEALS-2024-008	2024-04-10	115	3541 Pine St	Dallas	TX	75204	Business lunch with key client.	blank	blank
EXP2024-0009	Marketing	23.75	false	USA	E1008	Sophie Martin	2024-03-22	2024-03-23T08:49:19	travel	USD	approved	A101	Mark Thompson	2024-03-24T10:30:55	Transportation expense approved.	false	blank	Uber	blank	TRAVEL-2024-009	2024-03-22	23.75	2500 Elm St	Austin	TX	78701	Uber ride to client event.	blank	blank
EXP2024-0010	HR	15	false	USA	E1009	Julia Baker	2024-04-11	2024-04-11T12:05:38	other	USD	pending	blank	blank	blank	blank	false	blank	SecureID Badges	85-3458721	OTHER-2024-010	2024-04-11	15	1042 Elmwood Ave	Miami	FL	33101	Employee badge replacement fee.	blank	blank
EXP2024-0011	Operations	89.95	false	Saudi Arabia	E1010	Ahmed Hassan	2024-03-07	2024-03-08T10:30:22	office supplies	SAR	approved	A110	Mohammed Al-Mutairi	2024-03-09T09:17:30	Office supplies approved.	false	blank	Jeddah Stationery	SA-9876543210	OFFICE-2024-011	2024-03-07	89.95	22 Corniche Rd	Jeddah	Makkah	21532	Purchase of desktop organizers for office.	blank	blank
EXP2024-0012	Finance	41.8	false	Brazil	E1011	Maria Oliveira	2024-02-16	2024-02-17T09:48:03	meals	BRL	approved	A112	Carlos Silva	2024-02-17T13:55:14	Expense within business meal limits.	false	blank	Café Paulista	BR-234567891	MEALS-2024-012	2024-02-16	41.8	180 Av. Paulista	São Paulo	SP	01310-000	Breakfast meeting with client at local cafe.	blank	blank
EXP2024-0013	Legal	670	false	Italy	E1012	Olga Ivanova	2024-03-29	2024-03-30T16:12:42	entertainment	EUR	approved	A106	Giulia Rossi	2024-04-01T10:01:11	Networking event approved.	true	2024-04-03T14:23:09	Eventi Milano	IT-8765432109	ENT-2024-013	2024-03-29	670	Corso Como 8	Milan	Lombardy	20154	Tickets for legal networking event.	blank	Checked vendor legitimacy and receipt.
EXP2024-0014	Sales	45.9	false	USA	E1013	James Carter	2024-05-08	2024-05-08T09:13:05	travel	USD	approved	A101	Mark Thompson	2024-05-09T10:10:23	Transportation approved.	false	blank	Yellow Cab	blank	TRAVEL-2024-014	2024-05-08	45.9	200 Main St	Houston	TX	77002	Taxi fare to corporate meeting.	blank	blank
EXP2024-0015	Marketing	370	false	USA	E1014	Helen Kim	2024-02-28	2024-03-01T10:30:16	entertainment	USD	pending	blank	blank	blank	blank	false	blank	Bowlero	45-1125678	ENT-2024-015	2024-02-28	370	1111 Lane St	Los Angeles	CA	90015	Marketing team building bowling event.	blank	blank
EXP2024-0016	HR	480	false	UK	E1015	David Brown	2024-05-01	2024-05-02T09:13:55	training	GBP	approved	A109	Emily Clarke	2024-05-03T12:09:33	Training aligns with HR objectives.	false	blank	Engage UK Ltd.	GB-132456789	TRAINING-2024-016	2024-05-01	480	22 Oxford St	London	England	W1D 1NN	Workshop on employee engagement strategies.	blank	blank
EXP2024-0017	Operations	289.99	false	USA	E1016	Carlos Mendez	2024-03-26	2024-03-26T15:43:09	office supplies	USD	approved	A104	Susan Miller	2024-03-27T11:28:17	Necessary for warehouse maintenance.	false	blank	CleanCo USA	77-3456789	OFFICE-2024-017	2024-03-26	289.99	321 Sunset Blvd	Phoenix	AZ	85001	Cleaning supplies for warehouse.	blank	blank
EXP2024-0018	Finance	540	false	USA	E1017	Samantha Wright	2024-01-24	2024-01-25T10:25:07	meals	USD	approved	A102	John Williams	2024-01-26T14:19:59	Approved for partner relations.	true	2024-01-28T12:11:33	Steakhouse Prime	93-4567891	MEALS-2024-018	2024-01-24	540	800 River Rd	Boston	MA	02110	Dinner with investment partners.	blank	Checked meal policy compliance.
EXP2024-0019	Research	199.99	false	Japan	E1018	Tomoko Suzuki	2024-03-12	2024-03-13T09:08:12	training	JPY	approved	A108	Hiroshi Tanaka	2024-03-14T16:23:37	Seminar relevant to research goals.	false	blank	AI Seminar Japan	JP-123456789	TRAINING-2024-019	2024-03-12	199.99	3 Chome-1-1 Shibuya	Tokyo	Tokyo	150-0002	Enrollment for AI research seminar.	blank	blank
EXP2024-0020	Marketing	33.15	false	USA	E1008	Sophie Martin	2024-01-30	2024-01-30T14:22:41	travel	USD	approved	A101	Mark Thompson	2024-01-31T11:45:00	Public transport expense approved.	false	blank	Amtrak	blank	TRAVEL-2024-020	2024-01-30	33.15	400 S Houston St	Dallas	TX	75202	Train ticket to client presentation.	blank	blank

What the 200 rows show

from the 200-row sample

Marketing department stands out: mean expense_amount is 1,295, against 312.3 for the rest.

3%policy_violation_flag = true
189.9median expense_amount
5approval statuses
6expense types
17currencies
44approvers

Mean expense_amount by department200 rows

expense_amount200 rows, in bands of 500

Median 189.9, from 0.01 to 4,187.

address_country200 rows · top 10 of 22 values

USA71
Brazil16
Germany15
France15
Saudi Arabia10
Italy8
Japan8
China7
Switzerland7
India6

30 columns by typefrom the column list below

string 21
float 2
date 2
datetime 3
boolean 2

Columns

30 columns in four groups

blueprint · 30 columns
column	type	description	example
Text 21 columns
`expense_id`	string	Unique identifier for each expense requestunique	EXP2024-0001
`employee_id`	string	Unique identifier for the employee submitting the expense	E1001
`employee_name`	string	Full name of the employee submitting the expense	Jennifer Lee
`department`	string	Department to which the employee belongs8 departments	Marketing
`expense_type`	string	Type/category of the expense (e.g., travel, meals, office supplies)6 values	travel
`expense_description`	string	Detailed description of the expense	Taxi fare to sales expo.
`currency`	string	Currency code for the expense amount (e.g., USD, EUR)	USD
`approval_status`	string	Current status of the expense approval workflowpending · approved · rejected · returned · cancelled	approved
`approver_id`	string	Unique identifier for the primary approveroptional	A101
`approver_name`	string	Full name of the primary approveroptional	Mark Thompson
`approval_comments`	string	Comments or notes provided by the approver during the approval processoptional	Renewal approved.
`policy_violation_description`	string	Description of the policy violation, if anyoptional	Expense amount below allo…
`audit_comments`	string	Comments or findings from the audit reviewoptional	Reviewed for compliance, …
`vendor_name`	string	Name of the vendor or payee for the expenseoptional	Delta Airlines
`vendor_tax_id`	string	Tax identification number of the vendoroptional	98-2345678
`receipt_number`	string	Reference number for the expense receiptoptional	TRAVEL-2024-001
`address_street`	string	Street address of the vendor or service provideroptional	2338 5th Ave
`address_city`	string	City of the vendor or service provideroptional	New York
`address_state`	string	State or province of the vendor or service provideroptional	NY
`address_postal_code`	string	Postal code of the vendor or service provideroptional	10010
`address_country`	string	Country of the vendor or service provideroptional	USA
Numbers 2 columns
`expense_amount`	float	Total amount of the expense0.01 or more	1250.54
`receipt_amount`	float	Amount shown on the receipt0.01 or more · optional	1250.54
Dates and times 5 columns
`expense_date`	date	Date the expense was incurred	2024-03-14
`submission_date`	datetime	Date and time the expense was submitted for approval	2024-03-15T09:33:12
`approval_date`	datetime	Date and time when the expense was approved or rejectedoptional	2024-03-16T13:21:38
`audit_review_date`	datetime	Date and time when the expense was reviewed by the audit teamoptional	2024-01-24T11:35:22
`receipt_date`	date	Date on the expense receiptoptional	2024-03-14
True or false 2 columns
`policy_violation_flag`	boolean	Indicates whether the expense violates any company policy	false
`audit_flag`	boolean	Indicates if the expense is flagged for audit review	false

Use it for

A finance dashboard
The policy_violation_flag rate, expense_amount by department and a breakdown of address_country. Excel, Power BI or Tableau.
Why do the 26 Marketing rows have a mean expense_amount of 1,295?
A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
Expenses200
EXP2024-00011250.54Marketing
EXP2024-00420.01HR
EXP2024-004519.75Sales
A software demo
Believable expenses with employee_id, employee_name and department to fill a screen in front of a buyer.

This dataset200 rows30 columns

Yours1,000 rows30 columnsaddress_street: UK only

blueprint · finance-expense-approval-workflow

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 30 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with

Track approval levels per expense
Include approval timestamps
Segment by expense type
Flag escalated cases

Rows1,000 rows10,000 rows100,000 rows1,000,000 rows

Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports: CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence: yours to use, including commercially
API slug: finance-expense-approval-workflow

What should your data show?

No signup. No card.

Sample rows

What the 200 rows show

Columns

Use it for

A finance dashboard

A root-cause class exercise

A software demo

Make it yours.

Same schema. As many rows as you need.

More in Finance

What should your data show?