Data quality
The real cost of bad data, measured in hours, not vibes
We tracked one small support team for a month to see how much time bad customer records actually cost. The number surprised us too.
Data, in plain language
We write about data so you don't have to guess at it.
CF35 Data is a two-person shop that spends its time in spreadsheets, warehouses, and consent forms, then writes down what we find. No dashboards to sell you, no framework of the month.
Recent writing
All articles →Privacy
A plain-English guide to writing a data retention policy
Most retention policies are written to satisfy a lawyer, not to be followed by a team. Here is how to write one people actually use.
Analytics tooling
Choosing a data stack when you are not Google
A modest proposal: pick the boring tools, skip the platform team, and revisit the decision in eighteen months.
What we actually do
7 years
writing and consulting on data quality and analytics for teams under 200 people
40+
retention and consent audits completed for clients across Europe
0
dashboards we are trying to sell you on this page
We started CF35 Data after spending years inside data teams that were drowning in tools nobody had time to learn properly. Most of what we publish here comes directly out of client work: the questions people actually ask us, and the answers that held up once we tried them.
Start here
Decision-making
How we actually use data to make decisions
Not the version we tell clients in the pitch deck. The version with the spreadsheet that is three tabs too many.
Data literacy
Reading a chart without fooling yourself
Five questions to ask before you screenshot a chart and send it to your boss.
About us
Who writes this, and why
Two people, a small client list, and a shared dislike of buzzwords. Here is the longer version.
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