Automated Quality Control & Issue Resolution
Transform manual error-hunting into automated detection.
Loome's central rule repository and continuous validation pipeline catch issues early, while automated alerts and stewardship workflows streamline your resolution process.
Everything your organisation needs for trusted data.
Unified Discovery
Navigate data pipelines and quality rules accross multiple platforms through a single intuitive interface
Time Series Analytics
Store and analyse quality and performance metrics of your data warehouse / lakehouse
Why Organisations Choose Loome for Data Ops
Accelerate
Issue Resolution
- Automated detection and alerts
- Streamlined stewardship workflow
- Real-time operational feedback
Strengthen
Data Trust
- Centralised quality rule management
- Automated reconciliation checks
- Complete audit trail of resolutions
Drive
Accountability
- Role-based ownership
- Integrated feedback collection
- Comprehensive issue tracking
Start your free trial and see how Loome can transform your data quality operations
Mapping
Data Mapping
We provide a lightweight and cost competitive way to capture your ETL design and data model decisions so you manage your data engineering team decisions and can easily publish this in situ within your reports.
Reference Data
Manage reference data online
We provide a simple way to manage manual reference data for your analytics solution so you can stop worrying about having to build integration processes for all of your disparate spreadsheets. We provide a cloud native alternative to SQL Server Master Data Services at a fraction of the cost of competitors.
Data Quality
Proactively monitor data quality issues, assign responsibility and track actions
We provide a unique workbench that allows analysts and data stewards to participate in your data quality workflow rather than it falling on data engineering teams.
