A data platform your teams can actually decide on
Most analytics problems are data problems first. We design and build modern data platforms that bring CRM, marketing, sales, finance and operations data into one governed place, ready for reporting, machine learning and GenAI.
What we deliver
Lakehouse and cloud data platforms
Design and build on Databricks, Snowflake and the major clouds, sized to your volumes and budget.
- Reference architecture and roadmap
- Medallion (bronze, silver, gold) data models
- Cost and performance tuning
Data pipelines and integration
Batch and streaming pipelines from your source systems, including Salesforce, Marketo, Adobe Analytics and ERP.
- Automated ingestion and orchestration
- Change data capture
- Monitoring and alerting
Data quality and governance
Catalogues, lineage, access control and quality checks so every number has an owner.
- Unity Catalog and access policies
- Data contracts and quality rules
- PII handling
BI, dashboards and reporting
Executive and operational dashboards that answer the questions leaders actually ask.
- KPI trees and metric definitions
- Power BI and Tableau builds
- Self-serve semantic layers
Legacy modernisation
Move SAS, spreadsheet and on-premise workloads to a modern stack without breaking the reports people rely on.
- Migration planning and parallel runs
- Code conversion and testing
- Decommissioning plans
Analytics Centers of Excellence
Stand up the people, process and platform for an in-house analytics function.
- Operating model and roles
- Standards and reusable assets
- Enablement and training
Our reference architecture on Google Cloud
A governed lakehouse on BigQuery, from raw data to AI-ready gold tables, with security and operations built in.
Data sources
Google AnalyticsFirst-party dataExternal data sourcesGoogle Cloud Platform
Ingest, store and process · orchestrated and scheduled with Airflow · BigQuery data warehouse
AI and data science
Data governance
Consumption layer
Power BIAI-enabled analyticsLooker StudioAPIsShared services across the GCP foundation
Platforms we work with
Related case studies
An automated inventory planning tool for 100,000 SKUs
Weekly SKU-market ordering driven by forecasts, safety stock and vendor lead times.
Read the case study →SKU-level forecasts a retailer could share with its vendors
Time-series forecasts for 2,000+ SKUs that cut both stock-outs and overstock.
Read the case study →Fixing leaky website journeys for a telecom eCommerce team
Clickstream path analysis that found where visitors dropped off, raising conversion and satisfaction.
Read the case study →Have a decision you want to get right?
Tell us the decision, the data you have and the timeline. We will come back with how we would approach it.