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Karrie Short3d ago · 7 min read

Software for Device Sales Organizations: Why the Commission Line Is the Record to Get Right

Every month, on about the fifth, someone at a device sales organization opens a spreadsheet and rebuilds last month's commissions by hand. I was that someone for a long time. The spreadsheet is not th

intellilogic.hashnode.dev

srkhan28095d ago · 29 min read

Crypto Finance Data Modeling: A Staff Engineer's Field Guide

1. The uncomfortable truth: Data Modeling is a business decision Imagine we're building a crypto exchange called OrbitX. A customer deposits ₹100,000, buys Bitcoin, places a limit order, partially fil

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Karrie ShortOct 14 · 7 min read

Inventory Management Software for Medical Device Distributors: Why the Data Model Has to Be Different

I have sat through a lot of inventory software demos, first as a buyer running operations for a medical device distributor and later as someone building the software. The demos fail in the same place

intellilogic.hashnode.dev

PowerduckOct 8 · 6 min read

Recursive and cyclic schemas in OpenAPI: self-referencing $ref for trees, nested comments, and graphs

Every content API eventually meets a shape that contains itself: a category tree, a comment thread, a folder of folders, an org chart, a bill of materials. The JSON arrives nested five or fifty levels

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FranchiseNegosyoOct 6 · 5 min read

How a Franchise Comparison Directory Keeps Cost Data in One Shape

Anyone who has tried to compare two franchise offers knows the real problem is rarely missing data, because the numbers usually exist somewhere, scattered across brochures, chat replies and slide deck

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Karrie ShortOct 6 · 8 min read

Why Is Medical Device Distribution So Difficult to Manage? The Case for an AI-Powered Operating System

Ask a medical device distributor what makes the job hard and they will not say the surgeries. They will say the paperwork. That is half right. The paperwork is hard because the rules behind it depend

intellilogic.hashnode.dev

Aira FrancoOct 5 · 20 min read

Inside a Modern Data Warehouse Lifecycle: Snowflake, dlt, dbt, and Data Modeling

This blog walks through the full lifecycle of a modern data warehouse, from setting up Snowflake infrastructure and access control to ingesting API data with dlt, transforming it with dbt, modeling it

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Muhammed Veysel ErinOct 4 · 7 min read

An AI-visibility metric is a data contract before it is a score

An AI-answer study is often presented from the outside in: a headline figure, a chart, and a short method note below both. We designed this measurement from the inside out. The first artifact was not

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Randi WOct 2 · 8 min read

Real data is messy. Build the model first.

Until this year, every database I'd ever worked in professionally had Salesforce wrapped around it. That's not a confession, exactly. I've been building on Salesforce since 2007: always in IT, always

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Dharmesh JoshiOct 2 · 5 min read

Designing a Data Model for Translatable Content Without Breaking Every Existing Record

Adding multi-language support to a content platform sounds like a straightforward data modeling problem until you remember one thing: you already have production data in the old shape, and you can't j

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Software for Device Sales Organizations: Why the Commission Line Is the Record to Get Right

Crypto Finance Data Modeling: A Staff Engineer's Field Guide

Inventory Management Software for Medical Device Distributors: Why the Data Model Has to Be Different

Recursive and cyclic schemas in OpenAPI: self-referencing $ref for trees, nested comments, and graphs

How a Franchise Comparison Directory Keeps Cost Data in One Shape

Why Is Medical Device Distribution So Difficult to Manage? The Case for an AI-Powered Operating System

Inside a Modern Data Warehouse Lifecycle: Snowflake, dlt, dbt, and Data Modeling

An AI-visibility metric is a data contract before it is a score

Real data is messy. Build the model first.

Designing a Data Model for Translatable Content Without Breaking Every Existing Record