What DeepTeal does
Reporting, analysis, modelling, data platforms, technology and digital products.
Most of the work starts with a question someone needs answered from data that already exists: whether a number can be trusted, what is driving a result, or what is likely to happen next. It usually ends with a report, a model or a system that a team can keep running afterwards.
Business Intelligence & Analytics
Business intelligence and reporting built around the decisions they support, standardised so that numbers stay comparable across teams.
Customer & Marketing Analytics
Lifecycle analytics from acquisition through churn and lifetime value, with experimentation designed to support a conclusion.
Data Science & Predictive Analytics
Forecasting, predictive models and experiment design, grounded in applied statistics and validated against data they have not seen.
Data Platforms & Engineering
Warehouses, pipelines and migrations, built so a small team can keep running them afterwards.
Technology & Systems
Applications, integrations and infrastructure, and the technical direction that decides what is worth building.
Digital Products
Digital products and the systems that publish, distribute and measure them.
Where this has been applied
The experience behind the work spans more than a decade in data and analytics, across several sectors. The problems differ less than the sectors do.
- Telecommunications
- Online services
- Marketing and marketing technology
- Life sciences and pharmaceuticals
- Research
Some of this work is applied to projects DeepTeal develops on its own account rather than for a client. Those are described here once there is something to describe.