In an analytics platform, consistent data loading (often with SLAs) is crucial to meet user expectations. Data load or quality issues can disrupt decision-making. 4DAlert, driven by AI/ML precision, tracks and resolves these challenges by monitoring failure points and providing performance scorecards for each data object, ensuring data quality across your systems.
Data quality scores are generated for each object, offering real-time insights. These scores are displayed through an intuitive dashboard for data engineers, teams, data scientists, and sometimes end-users, ensuring transparency and quick issue resolution.
Key Features
Multiple Keys and Metrics Analysis
-4DAlert scans multiple key metrics like revenue, sales quantity, and discounts simultaneously, detecting abnormalities across all areas to prevent overlooked issues.
Predefined Quality Metrics
+Enumerated Value Checks
+Custom Metrics for Tailored Checks
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Value And Outcomes
⦿ Trusted Data for Every Decision
Ensures that business reports, analytics, and dashboards are built on accurate, reliable data your teams can confidently use.
⦿ Proactive Issue Resolution
Highlights potential data problems early, enabling teams to take action before they affect business outcomes.
⦿ Consistent Performance Across Systems
Keeps data aligned and dependable across all platforms, so every department works from the same truth.
⦿ Flexible Quality Standards
Adapts to your company’s unique rules and priorities, delivering customized checks that support growth and compliance.
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Explore how 4DAlert leverages AI and ML to automate Data Reconciliation, enhance Data Quality, and provide end-to-end Data Observability for the most complex enterprise environments.