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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.
4DAlert scans multiple key metrics like revenue, sales quantity, and discounts simultaneously, detecting abnormalities across all areas to prevent overlooked issues.
4DAlert automatically applies predefined quality metrics to detect anomalies, ensuring data consistency and reliability without manual intervention.
4DAlert checks that data complies with restricted value sets, like currencies or regions, automatically flagging any discrepancies.
Using AI/ML, 4DAlert accounts for seasonal trends and detects anomalies outside expected patterns during specific periods, such as month-end or year-end.
4DAlert allows users to create custom metrics through SQL queries, offering flexibility to monitor unique business needs and ensure data quality.
4DAlert’s Automated Data Quality solution tackles the core challenges of data management. Experience a system that evolves with your business, delivering the speed, accuracy, and reliability you need to stay competitive. Let automation manage the complexity, while you focus on driving growth.