Anomalo

Anomalo is a revolutionary AI-powered data quality software that offers a comprehensive solution for enterprises. It ensures rapid detection, root cause analysis, and resolution of data quality issues, enabling businesses to operate with confidence. With its unsupervised machine learning capabilities, Anomalo deeply understands data, including hidden correlations, expected delivery times, and seasonal changes. It allows for easy data integration with one-click connection to enterprise data lakes/warehouses and data orchestrators/ETL tools. Users can add validation rules and KPIs with a no-code UI or API. Anomalo also provides sophisticated alert routing with intelligent false positive suppression, helping to quickly address data quality issues. Built for enterprise scale, it effortlessly monitors thousands of tables and billions of records, offering cost-effective data quality monitoring with easy bulk configuration and efficient scheduling. It is also SOC 2 compliant and integrates with data catalogs to generate executive reports. Anomalo's automated root cause analysis saves hours on investigation, with samples and visualizations for deep analysis and data profiling. Its triage and resolution workflows integrate with ticketing systems, and it provides automatic upstream and downstream lineage. IDC research vice president Stewart Bond highlights Anomalo's differentiated AI-first approach to data quality, which can lead to improved operations, analytics, and better business outcomes. Customers like Discover and others have experienced the benefits of Anomalo in enhancing their data quality monitoring capabilities.