What We Do

Data

A field of work, and the discipline underneath everything else.

Data is where most of DeepTeal’s depth sits: the infrastructure and databases underneath a system, the analytics and reporting built on top of them, the information systems that hold an organisation’s record of itself, and applications that do something useful with what the data contains. Most recently that work has been productised into a platform of its own, so it can be run as a service rather than repeated by hand.

Two teams reporting the same monthly figure. Neither is wrong: each is correct against its own definition, and the gap widens as the definitions drift apart. Closing it is a decision about what the number means, not another dashboard. Most of what looks like a reporting problem is this problem.

Statistics sits behind it as much as engineering does, and that is what the four areas below share. Each comes back to the same question: whether a number can carry the weight being put on it.

Analytics & Reporting

Reporting and analysis built around the decisions they are meant to support, rather than dashboards produced by default.

Customer & Marketing Analytics

Lifecycle modelling from acquisition through churn and lifetime value, plus experimentation and A/B testing designed to support a conclusion.

Modelling & Machine Learning

Forecasting and predictive models, and experiment design, grounded in applied statistics rather than fitted and left unexamined.

Platforms & Engineering

Warehouses, pipelines and migrations, built so a small team can keep running them afterwards.

If this is close to something you are considering, a short description of the problem and the systems already involved is the most useful place to start. Get in touch.

  • Technology, Data & Digital Ventures