Insights
Ideas, perspectives,
and real-world results
Practical thinking on data engineering, analytics, AI, and the decisions that matter.
Case StudyData Engineering
From Metric Chaos to Marketing Clarity: Unifying Ads, CRM, and Revenue Data
A B2B SaaS company spending $280K/month on ads with three different CAC numbers and no agreement on which channel was driving pipeline. We fixed that.
AI Use CaseLogistics
Dynamic Route Optimisation for Last-Mile Delivery
Last-mile delivery is 50-60% of logistics costs. Static routing cannot adapt. This is how we would build an AI system that learns and re-routes in real time.
BlogData Engineering
How to Build a Data Pipeline That Scales From Gigabytes to Petabytes
The right architecture decisions made early determine whether your pipeline scales gracefully or collapses under load.
BlogCloud Optimisation
The Ultimate Guide to Cloud Cost Efficiency After Migration
Moving to the cloud is step one. Keeping costs under control after migration is where most businesses struggle.
BlogData Architecture
Data Mesh vs Lakehouse: Which Should Your Business Choose?
Two of the most discussed data architecture patterns but they solve different problems for different organisations.
BlogAnalytics & BI
Power Query vs DAX: Where to Optimise for Maximum Performance
Slow Power BI reports are almost always caused by optimising in the wrong place. Understanding this difference changes everything.
BlogData Engineering
How to Build a Data Pipeline That Scales From Gigabytes to Petabytes
The right architecture decisions made early determine whether your pipeline scales gracefully or collapses under load.
BlogCloud Optimisation
The Ultimate Guide to Cloud Cost Efficiency After Migration
Moving to the cloud is step one. Keeping costs under control after migration is where most businesses struggle.
BlogData Architecture
Data Mesh vs Lakehouse: Which Should Your Business Choose?
Two of the most discussed data architecture patterns but they solve different problems for different organisations.
BlogAnalytics & BI
Power Query vs DAX: Where to Optimise for Maximum Performance
Slow Power BI reports are almost always caused by optimising in the wrong place. Understanding this difference changes everything.
Case StudyData Engineering
From Metric Chaos to Marketing Clarity: Unifying Ads, CRM, and Revenue Data
A B2B SaaS company spending $280K/month on ads with three different CAC numbers and no agreement on which channel was driving pipeline. We fixed that.
AI Use CaseLogistics
Dynamic Route Optimisation for Last-Mile Delivery
Last-mile delivery is 50-60% of logistics costs. Static routing cannot adapt. This is how we would build an AI system that learns and re-routes in real time.
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