Autonomous Cloud Data Monitoring and Validation - FirstEigen

1. Autonomous Cloud Data Monitoring and Validation Trusteddata,without coding www.firsteigen.com 1212 S Naper Ste 119-220 Naperville, IL 60540 (385) 393-4436 contact@firsteigen.com Autonomous Data Monitoring for Cloud and Lake Data Warehouses, Lakes and Clouds are notoriously error prone. The process of validating their Data Quality (DQ) is laborious manual work and is far from satisfactory. Unfortunately, >95% of your data is dark data – unmonitored, unvalidated and unreliable. Every step it moves downstream, errors get exponentially compounded. It takes 10x cost to fix it, if you can detect it all. What you don’t detect is unmitigated business risk. When DataBuck is powerful Cloud/Lake use Dynamic data, for example, operational and transactional data High volume of data New sources or changing structures of data Data is being used for purposes it was not intended for when it was collected? (New uses for data) Data Flow: Gets the Following Benefits Reduction in unexpected errors: 70% Cost reduction >50% Time reduction to onboard data set ~90% People productivity boost >80% Learn more at www.firsteigen.com