Data problems differ by industry. So do the questions worth answering.
We work with mid-sized companies in a handful of industries we know well. Here’s what we typically help them with.
E-commerce & tech
Online brands, subscription businesses and tech platforms operating across several channels and countries. Growth makes the numbers harder to trust: every channel reports differently, and margin disappears in the details.
Questions we help answer
What’s our contribution margin per channel and country?
Which customers are worth acquiring again?
Why are subscribers pausing or skipping?
Where does profit leak between order and delivery?
Logistics
Asset-heavy businesses that move goods, equipment and vehicles, where finance and operations live in different systems. The margin per customer, product or entity is in there somewhere, if the data can be linked.
Questions we help answer
What’s our gross margin per customer and entity?
How do we close the month in days, not weeks?
Which assets earn their keep?
Can finance trust the operational numbers?
Financial services
Banks, insurers and other financial institutions sit on decades of customer, policy and transaction data, often spread over legacy systems. We help turn it into reliable reporting and an AI-ready foundation.
Questions we help answer
How are our key ratios developing per product?
Which customers are likely to leave?
How do we move off legacy reporting safely?
Is our data ready for AI use cases?
Case study coming soon.
Manufacturing
Production plants that want more output from the same lines. Without data on where the bottlenecks are, improvements are guesses and their impact can’t be measured.
Questions we help answer
Where are our production bottlenecks?
Can we see unplanned downtime coming?
Did that line improvement actually work?
How much stock do we really need?
Don’t see your industry?
The data problems are often more alike than you’d think. Tell us what you’re working on.