SOLUTION · DATA
Data & analytics
Analytics is only ever as good as the data behind it. We build the pipelines, normalisation and quality controls first, then the dashboards that rest on them.
TYPICAL SITUATIONS
What we hear most often.
Different numbers depending on which tool you open
Manual exports consolidated in spreadsheets
Duplicates and inconsistent reference data
No end-to-end view of the customer journey
CAPABILITIES
What we put in place.
Grouped by domain rather than presented as a flat list, so it stays readable.
Data engineering
Collect, normalise and synchronise.
- Data ingestion
- Normalisation
- Synchronisation
- ETL / ELT
- Event collection
- Operational data stores
- Analytics-ready modelling
- API data pipelines
- Quality controls
- Deduplication
- Migration
- Scheduled pipelines
Analytics & BI
Making the business legible.
- KPI dashboards
- Business reporting
- Funnel analysis
- Sales analytics
- Acquisition analytics
- Conversion analytics
- Operational analytics
- Custom dashboards
- Executive reporting
- Event analytics
- Attribution reporting
Document intelligence
The data locked inside documents.
- Extraction
- Classification
- Semantic search
- Document workflows
- Knowledge retrieval
DELIVERABLES
What you actually receive.
- Documented, monitored data pipelines
- A shared metric dictionary across teams
- Operational and executive dashboards
- Quality controls that flag anomalies before they spread
A project, a process, a product to build?
Describe your context. We come back to you with a technical read and the options available.