A high-level look at what's moving in digital.
We pair what we're seeing on real client projects with the wider data to document the trends worth a closer look — across data engineering, AI, custom software and digital strategy.

The SaaS Trap: Why Building Bespoke is Finally Cheaper Than Buying Off-the-Shelf
For the last decade, the technology industry has sold us a very convincing lie: Never build software if you can just rent it.
Read more
Don’t Cheat: Proper Splitting and Avoiding Data Leakage
We have now arrived at the most dangerous phase of the data preparation pipeline.
Read more
The Great Cleanup: Handling Missing Values, Duplicates, and Errors
Welcome to the unglamorous reality of Machine Learning. While Data Scientists love to talk about algorithms, they spend the vast majority of their time here, in the “Janitor Work” phase.
Read more
How Growing Businesses Can Harness Data for Strategic Advantage
Growth is good—until it breaks your systems.
Read more
Data Product Management Software: Features to Look for Before Buying
In today’s data-driven business landscape, choosing the right data management software has become crucial for organisations looking to harness the full potential
Read more
What do you mean by Data Product?
Mentioning data products can make peoples eyes glaze-over. ‘Data Product’ is a bit vague and does sound potentially dull, but they’re more exciting
Read more.jpg)
No more dirty leads
Leads United was born from a lightbulb moment. Well, that and several years of extensive experience of working with data
Read more
5 digital devices to help save energy and money
Times are tough. Is there anything else we could be doing to mind the pennies whilst helping our poor planet?
Read more
Send in the Clouds
It’s not a question of if a business will adopt cloud computing, but rather what type? To help with this decision, let’s explore the two heavyweight cloud contenders
Read moreHave an outcome in mind?
We'll help you
ship it.
- You're building a data product and need a team that can deliver.
- You want to get AI-ready — pragmatically, not theoretically.
- Your reporting is a mess and you need a real platform underneath it.