Data Modelling
Turn raw, scattered data into a structured foundation for business intelligence, analytics and AI, designed for the scale of the Hadoop ecosystem.
Structure that makes big data usable
From business questions to data models
Leverage data to improve business intelligence, unlock capabilities, and create strategic digital solutions that deliver tangible results.
Our data engineers translate your business processes into conceptual, logical and physical models, then implement them on a distributed data lake where they grow from thousands to billions of records without a redesign. Every model is documented and built for the tools your teams already use, from SQL reporting to machine-learning pipelines.
What we deliver
End-to-end data modelling, from the first workshop to production-ready tables.
Business Process Modelling
Map how information flows through your organisation, and document software and business system design, so every model reflects how your business actually works.
Conceptual & Semantic Modelling
Define entities, relationships and a shared business vocabulary so every team reads the data the same way.
Enterprise Data Modelling
One consistent, company-wide model that brings together data from CRM, billing, network and marketing systems.
Entity-Relationship & Physical Design
Turn logical models into partitioned, query-efficient tables on Apache Hive and Delta Lake.
Statistical & Predictive Models
Statistical and predictive analysis that forecasts demand, churn and traffic from your historical data.
Prescriptive Intelligence
Go from "what happened" to "what should we do next" with models that recommend actions.
Built on the Hadoop ecosystem
Models are implemented on HDFS as Apache Hive and Delta Lake tables, processed with Apache Spark and queried through Trino, giving you one governed layer for reporting, analytics and AI.
How we work
A clear, three-step engagement with your team involved at every stage.
1. Discover
Workshops with your stakeholders to capture business processes, KPIs and the questions your data must answer.
2. Design
Conceptual, logical and physical models, fully documented and reviewed with you before any table is built.
3. Deliver
Implementation on the data lake, automated loading pipelines, and hand-over with documentation and support.
Explore our Data & AI services
Each service stands on its own, and together they take you from raw data to AI in production.
Data Cleansing
Eliminate errors and inconsistencies with automated cleansing pipelines that keep your data reliable.
Model Development
Predictive and machine-learning models for forecasting, scoring and anomaly detection, built on big data.
Model Training
Train, inspect and fine-tune machine-learning models on your full data sets.