Design, build and operate modern data platforms.
Reliable, scalable, AI-ready data systems, moving data from creation to analytics and decision-making.
Every AI and analytics initiative starts with data.
Enterprise data is the foundation for AI, analytics and modern applications. We build end-to-end platforms that manage the full lifecycle.
End-to-end. From creation to consumption.
Five stages, one execution model. Each stage plugs into the next, with quality, governance and observability built in.
Data Creation & Ingestion
Capture and integrate data from across the enterprise.
Consistent, reliable collection across all sources.
- Structured and unstructured sources
- Real-time and batch ingestion
- API and system integrations
- Data quality and validation
Multi-platform by design. One governance model.
Most enterprises run more than one platform. We build on each one's native strengths, without re-platforming what already works.
Databricks
Lakehouse engineering, ML and streaming
Snowflake
Governed warehousing and data sharing
Power BI & Fabric
The metrics the business runs on
A structured approach to building data platforms.
Repeatable across business units, tuned to each one's data gravity, source systems and consumption patterns.
- 01
Assess
Audit the current data landscape and architecture.
- 02
Design
Define the strategy: lakehouse, warehouse or mesh.
- 03
Build
Stand up pipelines and platforms; integrate sources.
- 04
Enable
Wire up analytics, APIs and consumption layers.
- 05
Optimize
Monitor, govern and tune performance and cost.
Enterprise data is the input for AI execution.
Jo, our enterprise AI platform, integrates with your data platforms for governed access to data across every AI system.
Data that moves the business.
Every Enterprise Data engagement is anchored to one of five outcomes, and tracked against it after go-live.
Reliable & consistent data
One source of truth: trust, not reconciliation.
Faster access to insights
Time-to-decision drops from weeks to hours with self-service analytics.
AI-ready platforms
Datasets, schemas and governance built for AI from day one.
Improved data quality
Validation, lineage and governance in every pipeline.
Lower operational complexity
Consolidated platforms cut tool sprawl and unit cost.
Two ways to get moving.
A data and AI pilot, from strategy to a working system, on a governed data foundation.
Explore the programA dedicated team that owns your pipelines, data quality and platform operations, through our managed GCC model.
Build a dedicated teamRecognized by CIO Review among the Top 10 Data Analytics Solutions Providers (2022).