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Enterprise Layer Intelligence
Categories/Data Quality Monitoring/Anomalo
Anomalo

Anomalo

Founded by Jeremy Stanley

AI-enhanced monitoring to ensure data quality and trust.

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

Use Anomalo for tracking and ensuring the quality of your data with ease. It automatically detects issues in your data without needing to write any rules or setting thresholds manually. One standout feature is its ability to integrate seamlessly with your current data stack, providing immediate insights into data quality. Practical use cases include catching problems before they affect downstream processes, ensuring reliable analytics, and maintaining data integrity for better decision-making.

What Anomalo does

Set up automated data quality monitoring without writing codeReceive daily insights about significant changes in your dataChat with your data using natural language queries through AIDAGenerate up-to-date documentation for any dataset automaticallyInvestigate data issues with AI before they impact stakeholdersMonitor business KPIs continuously for unexpected changesCreate dashboards and reports using natural language commandsTrack data lineage from source to destination automaticallyNine autonomous AI agents for different data tasksNatural language data documentation generationProactive data insights without manual queriesConversational analytics through AIDA chat interfaceAutomated data lineage tracking and visualizationMachine learning-based anomaly detectionNo-code data quality monitoring setupEnterprise-grade security with flexible deployment options

Pricing breakdown

Pricing model: Book a demo

View full pricing page ↗

Tutorials & Demos

Frequently asked

BigQueryBigQuerySnowflakeSnowflakeDatabricksDatabricksAlationAlationCollibraCollibradbtdbtApache SupersetApache SupersetSlackSlackMicrosoft OutlookMicrosoft OutlookPagerDutyPagerDutyJiraJiraTableauTableauLookerLooker

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Anomalo, data quality monitoring, AI agents, data observability, autonomous data monitoring, data anomaly detection, data validation, AIDA conversational analytics, data governance, data insights, data documentation, machine learning data quality, enterprise data monitoring, automated data lineage, unstructured data monitoring, data issue detection, business KPI monitoring, table observability, data pipeline monitoring