Track Record: Data Aggregators
Scale
Taking what works and making it work at scale, in Data Aggregators
Scaling means making sure your product, team and operations can handle 10x growth without 10x the problems, and that takes more than adding servers. Founder intuition, ad hoc process and individual heroics got you this far, but they won't carry you through the next stage.
Why this matters in Data Aggregators
Data aggregation businesses live or die by how reliable and usable their data is. The product problems are specific: ingesting from fragmented sources, normalising messy data, and packaging it into something customers will pay for. We help data aggregators build product and delivery discipline around their pipelines, so the team spends less time collecting data and more time turning it into something customers pay for.
The outcome
A product, team and operating model that can handle growth, with enterprise customers served reliably and international markets entered successfully, all without quality slipping as you scale.
Our approach
- 01
Assess product, team, and operational readiness for scale
- 02
Identify the architectural, process, and structural bottlenecks that will break under growth
- 03
Build the team structure, hiring plans, and onboarding processes to support a larger organisation
- 04
Implement the product and delivery practices that maintain quality and velocity as the team grows