Numbers you can trust
One customer spelled three ways and an empty region in every tenth order break any dashboard. Validation rules run on every load.
01Builder
Sketch your data architecture
Pick sources and goals — the diagram appears on the right straight away: sources, pipeline, warehouse, BI and outputs.
Preliminary architectureNodes: 10
- CRM → ETL · file ingestion
- Excel · Sheets → ETL · file ingestion
- Other systems → ETL · file ingestion
- ETL · file ingestion → Data quality checks
- Data quality checks → Data Warehouse
- Data Warehouse → Data marts
- Data marts → BI layer · metrics
- BI layer · metrics → Scheduled reports, Alerts
- Scheduled reports
- Alerts
SOURCES CRM · Excel · Sheets · Other systems PIPELINE 3 connectors · File ingestion with schema checks · Deduplication · validation · reference data STORAGE Data Warehouse (PostgreSQL or ClickHouse by volume) · Data marts per department OUTPUTS Scheduled reports · Alerts
This is a preliminary outline. The architecture may change once we look at your sources.
02Data quality
Checks as code
Uniqueness, required fields, allowed values and relations between tables. Failing rows go to review, not into the report.
- Customer deduplication
- Shared reference data
- A quality report for every load
03Contact
Let’s look at your data
Five questions and you get a preliminary data architecture and a first step. Or just write to us.
Preliminary data architecture
Step 1 of 6