Hospitality & Restaurants
0
Lost orders during internet outages
Modernising point of sale for a multi-location restaurant group
- Sales visibility across all venues
- Real time
- Typical new-staff training time
- 30 min
Services
Data Engineering & Analytics
Reliable data pipelines, modern warehouses and dashboards that give every team one source of truth.
The challenge
Every team has a different number
When data lives in dozens of systems and spreadsheets, reports disagree, decisions slow down and AI initiatives have nothing reliable to build on.
Our approach
A trusted, well-modelled data platform
We consolidate your sources into a governed warehouse with tested transformations and dashboards people actually use.
- Automated ingestion from SaaS tools, databases and events
- Version-controlled, tested data models
- Self-serve dashboards with clear metric definitions
- Data quality monitoring and lineage
Benefits
Business outcomes you can expect
One source of truth
Shared metric definitions across every team.
Faster decisions
Fresh data in dashboards instead of manual reports.
AI-ready data
Clean, documented data that machine learning can use.
Governed access
Role-based permissions and audit trails.
Process
How the engagement works
- 01
Map
Inventory sources, consumers and the decisions data must support.
- 02
Model
Design the warehouse and core business metrics.
- 03
Pipeline
Build tested, monitored ingestion and transformation.
- 04
Enable
Dashboards, documentation and team training.
Technology
Tools we use
- dbt
- Snowflake
- BigQuery
- PostgreSQL
- Airbyte
- Kafka
- Metabase
Proof
Related case studies
FAQ
Frequently asked questions
Which data warehouse should we use?
It depends on your volumes, existing cloud and team skills. We compare options against your requirements rather than defaulting to one vendor.
Related services and industries
Service
AI & Machine Learning Development
LLM assistants, intelligent search, document automation and predictive models taken from prototype to reliable production systems.
Service
Cloud & DevOps
Cloud migration, infrastructure as code, CI/CD pipelines and observability that make releases routine.
Industries we apply this in: Fintech & Banking, Retail & E-commerce, Hospitality & Restaurants.
Talk to us about Data Engineering & Analytics
Tell us what you are building. A senior engineer will reply within one business day with honest next steps, even if we are not the right fit.