Leverage embedded data quality and control functions from within the Integration Designer
Apply rules to standardize quality of your data
Check, validate and verify your data against third party sources
Create data quality process rules for different record types
Augment and complete records with trusted suppliers to create golden records
Identify through active logging and reporting from running integrations where quality issues are
See your data as it was at moment in time
Roll back data to a moment in time to restore integrity in the data set
Demonstrate chain of custody in an audit function to show the data is of the highest quality
Drill down to the record to examine field level detail and values
As more critical data spreads across the organization modern solutions are needed for data preparation use cases unsolved with legacy tools.
Digital transformation requires leveraging api integration in new ways. This how to guide walks you through the different types of api integration.
When storing and seeing data is not enough. Understanding how to leverage a data platform is a key to competitive success for all enterprises.