Insights

Practical guides and case studies on building, scaling and getting value from modern data and AI systems.

Data Engineering

Building a Modern Data Stack in 2025: A Practical Guide

How to choose the right data warehouse, ELT tool, and BI layer in 2025 — without overcomplicating your stack or burning your budget.

April 2, 20268 min read
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AI & ML

Predicting Customer Churn: A Practical Playbook for SaaS and Telecom

From defining churn to deploying the model — what actually works for SaaS and telecom teams who want predictions that drive retention.

March 18, 202611 min read
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BI Strategy

BI Strategy 101: Defining KPIs Your Team Will Actually Use

Why most KPI projects fail and how to design a business intelligence framework that executives act on, not ignore.

March 4, 20266 min read
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Marketing Analytics

Multi-Touch Attribution Without the Headache

A pragmatic approach to marketing attribution in a post-cookie world — when you can't fully trust UTMs, pixels, or platform-reported data.

February 19, 20269 min read
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Data Engineering

Snowflake vs. BigQuery vs. Redshift in 2026: An Honest Comparison

Real trade-offs from production engagements — cost, performance, ecosystem, and developer experience compared head to head.

February 5, 202612 min read
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AI & ML

When to Build vs. Buy Your AI Models in 2026

A decision framework for choosing between off-the-shelf APIs, fine-tuning, and bespoke ML — now that foundation models have changed the economics.

January 22, 20267 min read
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