The people behind the work
Our Team
Seasoned professionals in analytics, data science, AI and data engineering — assembled around the project, not a fixed org chart.
How we staff
The heart of Datatronika is the people who deliver. Composition shifts with the work — what stays constant is depth across industries and the discipline to take systems into production.
We do not publish a static roster. Engagements draw the right mix of strategists, engineers and analysts for the decision at hand — then ship.
Clients
Diverse expertise. Global experience.
Work with leading brands across consumer, energy, telecoms, media and technology — digital marketing, data platforms and operational analytics that reduce waste and raise return.
Programmes with Specsavers, EDF, L’Oréal, Unilever, OMD, RATP, Orange and others have spanned campaign optimisation, organic growth and the data foundations underneath — including work that helped Specsavers recover post-pandemic with record annual sales driven in part by organic traffic.
What the work looks like
Platforms, performance and models
The same team shape that builds warehouses also ships predictive systems and marketing intelligence — evidence over slides.
- 01
Data platforms
Warehouses, pipelines and dashboards — GCP, BigQuery, SQL, Data Studio, Tableau — built so executives can decide from a current view.
- 02
Performance marketing
Campaign systems that cut waste: lower CPA, higher ROAS, and organic growth that compounds — Specsavers among the programmes we’ve shaped.
- 03
AI and machine learning
Predictive models, automated reporting and data-driven workflows that save time without burying the organisation in black-box output.
Results we measure include cutting cost per acquisition by up to 70% for e-commerce clients, pushing ROAS to competitive levels, and accelerating processing and reporting for large estates such as Orange.
Next step
Build the next engagement with us
Tell us the decision, the estate and the constraint. We will assemble the right mix — and show what the first useful output looks like.