Incremental Architecture
summary
Small analytics startup relies on Excel on terabytes of vendor data and analysts working on tens of gigabytes each; architects build a WPF desktop tool that reads vendor CSVs from a shared folder, treats those files as a CSV data lake with JSON metadata, extracts and automates the 10–15% of steps that consume 20–30% of analyst time, and delivers a working system in two months vs nine months; total project cost grows if fully automated but business gains incremental time savings and can pause or pivot.
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chapters (13)
- 0:00Intro
- 1:18The Business Problem
- 4:48The Technical Goal
- 7:25Constraints
- 10:02Ideal Architecture
- 11:18The Challenge
- 19:25Benefits
- 21:17Architecture
- 26:00Key Points
- 31:54Pros Cons
- 33:58Secret Sauce
- 35:39Excel
- 39:16Power BI
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