From a spreadsheet to a custom application

When the business depends on a shared spreadsheet, risk piles up every month: data gets overwritten, stray copies multiply, formulas nobody understands. I read your Excel files as they are, design the database you need and build the application that replaces them.

Get a quote, no obligation Review a tool you already have

The problem: the spreadsheet has outgrown its purpose

Almost every company starts by managing something in a spreadsheet: customers, orders, stock, timesheets, quotes. It works until it doesn't. When several people edit it at once, when it needs to be checked from a phone, when one bad value breaks a formula three tabs away, or when nobody dares touch the macro left behind by someone who has gone, the sheet stops helping and becomes the biggest operational risk in the business.

Several people edit the same file and their changes overwrite each other.
Copies named "good", "good_2", "final" with no way to know which is real.
Unvalidated data: dates stored as text, amounts in different formats, duplicates.
No control over who sees or changes what, and no record of who did each change.
Formulas and macros only the person who wrote them understood.
Hard to use properly from a phone or to connect with other tools.

How I approach it: from your sheets to your own database

The goal isn't a prettier spreadsheet, but replacing it with an application backed by a database designed for your real processes. I work with your current sheets exactly as they are, without asking you to "clean them up" first.

Analysis of the current sheets: what data is there, how it relates, what rules and calculations are hidden in formulas and macros.
Data model design: the tables and relationships your business needs, with validation and required values where they belong.
An importer that reads your Excel and CSV files as they are, flags bad rows and tells you what to fix before migrating.
Migration of the history: your current data goes into the new database, you don't start from scratch.
A web application with your real processes, roles and permissions, search and filters, and mobile access.
Export to Excel whenever you need it: you keep that route for reports or for your accountant.

What you get

The upfront analysis can be hired on its own if you prefer to validate the approach and the data model before committing to the full build.

A document of the data model and the map between your current sheets and the new tables.
A reusable importer: if you keep receiving data in Excel from third parties, it can be loaded again without rebuilding anything.
The application deployed, with your historical data already migrated and verified.
Automated backups and per-user access control.
Documentation so someone else can maintain it in the future.

Timeline and price

Each case depends on the number of sheets, how tangled they are and how many processes the application has to cover. That's why the starting point is a fixed-scope quote based on your real sheets, not a flat rate. The analysis and data model design can be hired as a short first phase, and its cost is deducted if we then continue with the build.

Keep reading

If what you need is a broader internal tool and the spreadsheet is only part of the problem: custom software development.
If you also need to read unstructured documents (PDFs, contracts, emails) to pull their data, that's no longer a sheet migration, but: AI process automation.
If you already migrated your Excel to an application and what you need is someone to look after it and evolve it: software maintenance plans.

Frequently asked questions

Do I have to stop using Excel entirely?

Not necessarily. The idea is for the data to live in the application, with validation and access control, but you can still export to Excel for occasional reports or to send something to your accountant. What goes away is Excel as a shared "database" where everyone edits at once.

My sheets are a mess. Does it still work?

Yes. The importer is built to read them as they are: it flags incomplete rows, inconsistent formats and duplicates, and gives you a list of what to fix. You don't need to clean them up first; part of the job is precisely to bring order to that mess as it moves into the database.

What happens to the data I've already accumulated?

It gets migrated. The history in your sheets goes into the new database as part of the project, verified so the totals match what you had. You don't start from scratch.

Does this need artificial intelligence?

No. Reading, validating and transforming spreadsheets into a database is a deterministic process: it's solved with a data model and clear rules, which are also predictable and auditable. AI only comes in if unstructured documents have to be interpreted, and that's a different service.

Can I keep receiving Excel files from customers or suppliers?

Yes. If part of your operation is receiving third-party sheets, the importer is left ready to load them on a regular basis, validating each time, without you having to key in the data by hand.

Does your business depend on a spreadsheet that has outgrown its purpose?

Tell me what you manage in Excel today, how many people touch it and what you'd like to be able to do that you can't now. I'll come back with a first assessment and a fixed-scope quote, no obligation.