Traditional Data Quality tools analyze static datasets in data lake or data warehouse solutions. But in a scenario where streaming data flows are becoming the new central nervous system of data management architectures to enable effective real-time business decisions, with or without automated AI models, it’s crucial to be in the position to trust these flows of data.
witboost Data Quality enforces this vision, allowing the application of data quality controls on both data streams and static datasets with the same semantic and configuration.
witboost Data Quality can act as a quality gatekeeper before business decisions, stopping the stream in not compliant situations, while monitoring the flow in real-time without being intrusive with the business process.
witboost Data Quality provides a single pane of glass to correlate Business Processes and Quality Metrics, with no coding required.
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