What We Do

Data and Insights

“Decisions are only as reliable as the data behind them.”

We help organisations turn fragmented, fast-changing data into trusted, governed, and actionable insights — enabling reduced churn, new revenue opportunities, and a reliable single source of truth for analysis, reporting, and compliance.

Platform

Nion Data Platform

A managed service for workloads including streaming, AI, machine learning, data warehousing, BI, and data integrations. Modular by design — choose only the components you need.

A unique alternative to hyperscalers and build-your-own solutions — built for real production use, not experiments.

Explore the platform

Managed service handled by Nion

Modular design adaptable to your specific business case

1–2 months to production and business impact

Open-source platform, no additional licence fees

Flexible deployment — on-premise or cloud

Complete control over where data is located and executed

Support for GDPR, EU AI Act, and NIS2 requirements

Capabilities

From raw data to reliable decisions.

We design, build, and operate the full data stack — architecture, pipelines, governance, and analytics.

Data Platform Design & Architecture

Covers the full data lifecycle: discovery, modelling, architecture, engineering, and semantic layer design.

  • DWH, Lakehouse, and hybrid environments built for scale
  • Architecture designed for compliance from the start
  • Semantic layer design for consistent reporting
DWH Lakehouse Architecture Semantic Layer

Data Engineering, Integration & Migration

Robust pipelines for ingestion, correlation, cleansing, enrichment, and validation — with safe platform migrations.

  • Integrate disparate sources into a consistent view
  • Migrate data securely with integrity checks and rollback readiness
  • Minimal disruption to running operations
ETL / ELT Pipelines Migration Integration

Data Management & Governance

Establishes governance, quality rules, lineage, and access controls — supported by automation to reduce manual burden.

  • Improved transparency and auditability
  • Reduced compliance risk across GDPR, NIS2, EU AI Act
  • Automated quality checks and lineage tracking
Governance Data Quality Lineage Access Control

Analytics, Reporting & Decision Support

Turns data into insights through semantic models, reporting, and interactive dashboards — prioritising clarity and auditability.

  • Interactive dashboards and self-serve reporting
  • Consistent, auditable semantic models
  • Designed for regulatory reporting and compliance
Power BI Dashboards Reporting Decision Support

AI Analytics

Applies machine learning to forecast outcomes, detect patterns, and optimise decisions — with reliable data flows and measurable value.

  • Predictive models integrated into operational workflows
  • Pattern detection and anomaly identification at scale
  • Leverages platforms including IBM watsonx
Machine Learning Forecasting AI IBM watsonx

Big Data & Advanced Processing

Scalable solutions for high-volume, high-velocity, or unstructured data — with privacy and governance in focus.

  • Streaming and batch processing at enterprise scale
  • Unstructured data handling and enrichment
  • Privacy-preserving architectures
Streaming Batch Unstructured Data Scale

Data Modelling & Database Design

SQL, NoSQL, and hybrid database design — optimised for query performance, security, and 24/7 operations.

  • Relational, document, and graph data models
  • Performance tuning and indexing strategy
  • Designed for high availability and disaster recovery
SQL NoSQL Schema Design Performance

Strategic Data Advisory

Supports leaders with guidance on becoming more data-driven — aligning strategy, operating model, governance, and tooling.

  • Clear path from current state to future-proof data capability
  • Operating model and governance alignment
  • Tooling selection and vendor-neutral guidance
Strategy Advisory Operating Model Roadmap

Training & Ongoing Support

Analytics fundamentals, platform best practices, and applied ML — hands-on support from theory to production value.

  • Tailored training for data and business teams
  • Platform-specific best practice workshops
  • Ongoing support so initiatives sustain after handover
Training Workshops ML Enablement
Technologies

Cloud

Microsoft Azure
AWS
Google Cloud

Databases

SQL Server
PostgreSQL
MongoDB
Redis

BI & Viz

Power BI
Tableau
Looker

Processing

Apache Spark
dbt
Airflow
Kafka

AI / ML

IBM watsonx
Azure ML
Scikit-learn

Want to know more?

Talk to our data engineers about your specific context. No sales pitch — just a direct conversation.