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Finance / data operations · Excel → database

A 96,454-row spreadsheet, rebuilt into a database that scales

Moving a fast-growing operation off a 96k-row Excel file onto a real database.

96,454
rows the file had outgrown

Before: a single Excel file had swelled to 96,454 rows and turned unstable. After: the data lives in a database built to keep growing safely.

~3,000/day
new rows it kept adding

Before: roughly 3,000 new rows a day pushed the spreadsheet past its limits. After: the database absorbs that daily growth without slowing down.

~45s → ~2s
report recalc time(approx.)

Before: reports took around 45 seconds to recalculate. After: they return in roughly 2 seconds.

  1. 1

    The problem

    A fast-growing operation ran on a single Excel file that had reached 96,454 rows and was adding roughly 3,000 more every day. Recalculation had slowed to a crawl, the file was becoming unstable, and it had clearly outgrown what a spreadsheet can safely handle.

  2. 2

    What we built

    We re-engineered the formula and processing logic for speed, then moved the data into a proper database structure — so it keeps growing without the slowdowns, the instability, or the risk of everything living in one fragile file.

  3. 3

    The result

    Reports that used to take around 45 seconds to recalculate now return in roughly 2 seconds, and the business has a foundation that scales with its daily growth instead of fighting it.

Industry example. Figures marked “approx.” are typical/representative, not a guarantee.

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Case Study: 96K-Row Spreadsheet Rebuilt as a Database — YittBox