Once data is integrated, it’s very expensive to undo. Implementing effective checks and controls prevents bad data from entering the processing pipeline. Additionally, if any errors are detected, it’s crucial to stop processing for mitigation.
Several of the largest banks, insurance companies, and healthcare enterprises use our platform to monitor their data pipelines in production.
Faulty input data from data providers often creates issues in downstream processing. Timely verification before processing saves remediation costs, reduces wasted time, and ensures operations meet their SLAs.
Stop Faulty Process in Production
A faulty process can corrupt data. However, reconciling input and output data based on business rules allows the support and operations teams to take corrective actions before the data is delivered to users.
White-Box Monitoring
By integrating data audit rules within operational dataflows using iceDQ, you can achieve white box monitoring by embedding controls and checks directly into your production environment.
Enforce Data Contracts
Monitoring and measuring data quality and delivery metrics against SLAs and data contracts helps ensure accountability and provides historical data for enforcement.
Continuously monitor production data using reconciliation rules. These rules compare data between source and target, including database-to-database, database-to-file, API-to-database, BI reports-to-database, and more.
Use our workflows feature to run a collection of rules in a sequence for regression testing ensuring comprehensive monitoring and timely issue resolution.
When a defect is detected, timely alerts and notifications with relevant information shorten the turnaround time for escalation and corrective actions.
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To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
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The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.