QuantX Ops Versus Spreadsheets: An Honest Comparison
Spreadsheets are genuinely better for some things, and this article says which. Then it says exactly where they stop working, and what it costs you when they do.
Vendors are rude about spreadsheets. They should not be: Excel is the most successful business software ever written, and for a great many jobs it remains the right answer.
Where spreadsheets genuinely win
- One person, one analysis, once. Nothing is faster.
- Shape you have not decided yet. A model you are still arguing about should not be a database schema.
- Arithmetic nobody else depends on. A quick cash-flow projection is a spreadsheet, and always will be.
Where they stop
The break comes at a predictable point: when more than one person needs the same number at the same time. After that, every property that made spreadsheets good turns against you.
| The problem | In a spreadsheet | In QuantX Ops |
|---|---|---|
| Which copy is current? | Whichever was emailed last | There is one |
| Who changed this figure? | Unknowable | Recorded, with when and why |
| Who may see salaries? | Anyone with the file | A permission |
| Does the invoice match the order? | Checked by hand, sometimes | Arithmetic, every time |
| Is the ledger current? | After somebody types it up | Written by the documents |
| What did we quote in March? | If the file survived | The document is still there |
| Approval | An email saying "ok" | A routed, recorded decision |
The cost is real but invisible
Nobody bills for the hour spent reconciling two versions of the same figure, which is why it never appears in a business case. Construction is among the least digitised sectors on McKinsey's index — and the productivity gap that goes with it is about 1 percent annual growth against 3.6 percent in manufacturing.
The honest recommendation
If you are under about fifteen people and one person does the numbers, stay on spreadsheets. Past that, the question is not whether to move but how much rework you will do first.
Next: what it costs.
References
- Decoding digital transformation in construction — McKinsey & Company