Tricentis Webinar Series: Where data errors originate and how to test for them

Most data problems start in the ERP system, before anyone notices an inaccurate report. In this webinar clip, Global Business Manager Curtis O'Dell explains why data testing should start at the source, where the riskiest transformation points are between systems like Oracle, SAP, Snowflake and Databricks, and why automated data testing catches the defects manual checks miss.

Key highlights

• Most data quality issues start early in the order-to-cash process inside ERP systems like SAP and Oracle, so testing at the source is the fastest way to find the root cause.
• Every time data moves from an ERP into a data lake or warehouse, the transformation creates a new point where it can break, and data reconciliation across the whole IT landscape is how you catch it.
• Nine out of 10 organizations still validate data manually, but automated data testing checks every row in seconds and keeps a missed error from spreading through downstream systems.

Watch the full webinar: https://bit.ly/4iyYqUw