Make data-driven decisions, faster. Lift data engagement by 80%. Reduce data costs by up to 75%.
Data dysfunctions silently kill your ambition. We solve them for good. Select a symptom below to see why it happens, and how we fix it.
Why it happens
With nowhere shared to model the data, every team builds its own spreadsheet — and each drifts a little further from the rest.
How we fix it
Get a single source of truth
An analytics stack that is the single pane of glass, creating insights that everyone can get behind
Why it happens
The same metric is defined differently in each tool, so every number is “right” and none of them match.
How we fix it
Make the numbers trustworthy
We migrate critical business logic into a governed data model — a single source of numbers you can trust, refreshed reliably and automatically.
Why it happens
The tool shipped, but the model underneath it never did — so every question still becomes a ticket.
How we fix it
Let the business answer its own questions
We get data to people where they already work — Teams, Slack, bots, and BI — modelled so the answers stay consistent whoever asks.
Why it happens
Spreadsheets and a single database were sized for the short term; as volume compounds they hit a ceiling patching cannot lift.
How we fix it
Handle the volume you have grown into
A platform that scales past the point spreadsheets and single databases give out — without the enterprise price tag that usually arrives with it.
Why it happens
Pointing an LLM to data that humans struggle with is a recipe for failure. Hoping "better" models will fix it also does not work. Fundamentals are necessary.
How we fix it
Optimize platform and content for machine and human activity
We prioritize the fundamentals - good quality data, governed data models, scalable platform, and an operating model that makes LLMs and generative AI work for your business.
Multiple things at play? Discover more with a short assessment that helps you frame the problem.
Multiple things at play? Discover more with a short assessment that helps you frame the problem.
We move the needle where it matters the most, with numbers to back it.
drop in data processing spend, with no workload retired
| Daily transformation pipeline | 3–6 hoursunder 30 minutes |
|---|---|
| URL classification | ~60 hoursminutes |
| Monthly report preparation | ~10 daysunder half a day |
Engagement rate through a federated data operating model
Johan de Beurs
Managing Director, AU
Smeet Malvania
Managing Director, SG
Johan and Smeet have a combined twenty-five years turning tangled data into decisions people trust — hands-on, from the strategy to the last pipeline. Bring the problem you are wrestling with and you will get a straight answer on whether we can help, from one of the people who would do the work. Learn more about us
Prefer a quick status check? Take a 2-minute data maturity assessment