Construction Bid Scope Comparison Dataset
Compare contractor quotes against an itemized scope and identify missing quantities.
A practical workbook exercise for commercial managers, procurement and project analysts. Work from the underlying records, compare the relevant totals and explain how you reached your result.
About the dataset
This original synthetic dataset contains 246 source records across three related tables. The records are fictional and designed for descriptive business analysis.
Dataset details
| Industry | Construction and engineering |
| Formats | Excel workbook and CSV files |
| Source records | 246 |
| Related tables | 3 |
| Fields across table schemas | 15 |
| Reporting cutoff | September 30, 2026 |
| Currency | USD for monetary fields |
| Source | Original synthetic data created for Jolene.pro Workbook Studies |
What's included
- Projects: 6 records and 4 fields. One tendered project.
- Scope: 60 records and 5 fields. One required line of work.
- Bids: 180 records and 6 fields. One bidder response to one scope line.
Recommended analysis
- Which bidder has the lowest quoted total?
- Which quotes omit required work?
- What share of scope lines does each bidder cover?
- How would pricing change if all bidders covered the same quantities?
How to work with the data
Use the following relationships to connect the source tables:
- Scope.project_id → Projects.project_id
- Bids.scope_id → Scope.scope_id
Check the row grain before joining. Aggregate repeated child records to the required level before combining totals, so parent amounts are not counted more than once.
You can explore the workbook in Excel or Jolene.pro, or use the CSV files with SQL, Power BI and other analysis tools.
Definitions and assumptions
- Omitted scope has included=false, quantity=0 and price=0. Zero is not a free complete service.
- Quoted unit prices correspond to each scope line’s stated unit. Do not sum quantities across incompatible units.
Use the field definitions and nullable-column guidance in the included data dictionary. Interpret blank values and reporting dates according to the scenario notes.
Downloads
The complete dataset ZIP includes the Excel workbook, three matching CSV files, a data dictionary, scenario notes, a source-row preview and license details.
Reuse and attribution
These are synthetic records, not customer data or industry benchmarks. Reuse is allowed under Creative Commons Attribution 4.0 International (CC BY 4.0). Credit Jolene.pro and identify any changes you make.