Automated data quality monitoring
Continuously monitor data quality (completeness, consistency, freshness) and alert on drift.
-40%
data incident reduction
The problem
No reliable steering on automated data quality monitoring.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Trust in data is insufficient.
Prerequisites: required data & tools
Required data
- Bases de data
- flux de data
- règles métier
Compatible tools
- Great Expectations
- Monte Carlo
- Soda
- dbt tests
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Continuously monitor data quality (completeness, consistency, freshness) and alert on drift. with measured impact on data incident reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for automated data quality monitoring
Operational engine for automated data quality monitoring
Steering dashboard with alerts
Action playbook and governance
Expert insight
Foundation of any data/AI project. Without data quality, no AI ROI.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
Powered by specialized agents
Data Quality & Observability
Traiter la data quality comme un produit avec SLA, alerting, et runbooks.
Discover the agent →Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
Discover the agent →Similar cases
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First step: a 30-minute call to understand your context.