We work with you to develop a comprehensive blueprint of organisational data assets, and how you can use your data to derive sustainable business growth.

Our data engineers understand your internal backend and 3rd party systems to build robust, scalable, and maintainable data pipelines.

We implement data models, ETL mechanics and storage solutions that go in between the operational systems and data consumption endpoints.

We design general data structures for a wider self-service BI implementations and also craft visualisations and dashboards for more specified business use cases.

We streamline the everyday standardised reporting for both internal uses and external regulatory requirements, and also handle the more fluid and flexible ad hoc outputs.

We dig into the array of all different data assets in order to uncover the internal structure, separate signal from noise, and handle all the tiny technical details that make or break the data quality.

We apply machine learning approaches to business problems to help improve, automate and scale workflows that can’t be resolved by ordinary human effort.

We set up, analyse and validate business process hypotheses on data level to uncover patterns, hidden connections and new business opportunities.

We help review and design practices for data lifecycle management and remain in control of the lineage and impact from source data to business terms, across different information systems in the organisation.