Data Quality Framework
Automated Monitoring so Bad Data Never Reaches Production
What we do
Data quality issues discovered by users erode trust and trigger expensive rework. We implement automated data quality frameworks that catch problems at the pipeline level — before they reach analysts, dashboards, or AI models — using dbt tests, Great Expectations, or Soda Core.
Ideal for
Analytics and data engineering teams whose reports are undermined by upstream data quality issues they discover too late
Common applications
Data Quality Rules Engine
Define completeness, uniqueness, validity, and consistency rules for critical data columns and automate their daily execution.
Schema Change Detection
Alert immediately when a source system changes a schema — preventing silent failures from propagating through the pipeline.
Anomaly Detection on Metrics
Detect unusual patterns in row counts, null rates, and value distributions — catching upstream data issues before dashboards are affected.
Data Contracts
Define and enforce data contracts between teams: expected schema, freshness SLAs, and quality thresholds for every data feed.
Quality Dashboards for Data Stewards
Build a data quality dashboard showing rule pass/fail rates, issue trends, and ownership — visible to both engineers and stewards.
dbt Test Suite Expansion
Extend your existing dbt project with comprehensive tests: referential integrity, date range validation, and custom business rule tests.
How we work
Critical Data Identification
Identify the most business-critical data domains and the quality dimensions that matter most for each.
Rule Design & Tooling
Select the right tooling (dbt tests, Great Expectations, Soda) and design the rule set for each data domain.
Implementation & Integration
Implement rules in the pipeline, integrate alerting, and build the data quality dashboard.
Escalation Process & Handover
Define the issue escalation process and train data owners on how to investigate and resolve quality failures.
What you receive
- Data quality rules implemented in your pipeline tooling
- Automated alerting for quality failures
- Data quality dashboard for stewards and engineers
- Data contract templates for inter-team data agreements
- Quality run history and trend reporting
- Process documentation and team training
Ready to get started?
Let's discuss your requirements. No commitment, no sales pitch — just a focused conversation about your situation.
Book a free discovery call