Modernize the platform your data runs on.

1. Architecture and platform advisory

   The target architecture and the platform and technology choices that fit your estate, settled before anything is built.

2. Engineering and integration

   Pipelines that connect data across applications, platforms and business functions.

3. Migration and modernization

   Moving from fragmented or legacy environments to a scalable modern data architecture.

4. Warehouses, lakes and lakehouses

   The storage and processing platform your analytics and AI run on, designed for the workloads you have.

5. Platform and pipeline operations

   Platform management, pipeline monitoring, DataOps and performance and cost optimization once the platform is live.

1. Our data sits in legacy or fragmented environments that are hard to scale or change.

2. Information is spread across applications and platforms and does not connect.

3. We run a data platform and pipelines in production and need them monitored, tuned and kept within cost.

4. We want analytics and AI on top of our data, and the platform underneath is not ready for it.

1. Advise

   Understand your data. Define where it needs to go.

   • Data Architecture Advisory
   • Data Platform & Technology Advisory

2. Build

   Connect, clean and transform data into something the business can use.

   • Data Engineering & Integration
   • Data Migration & Modernization
   • Data Platforms & Architecture
   • Data Warehouses, Lakes & Lakehouses

3. Manage

   Keep enterprise data trusted, available and ready for what comes next.

   • Data Platform Management
   • Data Pipeline Monitoring
   • DataOps
   • Performance & Cost Optimization

See the full Data engagement model

• Data Strategy and Governance