● INSIGHTS

Notes from the field on data and AI.

Practical lessons from delivering data infrastructure, analytics and AI for companies across LatAm and the US — written by the team doing the work.

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Infographic of an AI robot assistant helping distributors go from fragmented data to predicting churn to protecting margin

Distribution businesses run on thinner margins and thinner visibility than almost any other segment of the economy. A typical mid-market […]

AI data agents dashboard for distributors: churn prediction, upsell detection, and conversational data queries

AI data agents are changing how distribution businesses use the data they already have. Distributors in food, hardware, pharmaceutical, and […]

Single source of truth data governance roadmap for commercial data analytics teams

A single source of truth is what separates a commercial organization that argues about the numbers from one that acts […]

Distributor analytics AI agent workflow showing continuous monitoring, early signal detection, and actionable alerts

Introduction Distributor analytics is undergoing a shift from hindsight to foresight. Distribution businesses generate an enormous amount of data every […]

Data quality scoring framework dashboard ranking accounts by priority tier

A data quality scoring framework is what separates teams that act on their data from teams buried under it. Here’s […]

Why most AI agents fail infographic showing data foundation gaps behind failed pilots

Why most AI agents fail is rarely a question of technology — it’s a question of foundation. Every week brings […]

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