It’s Time to Think Differently About How You Deliver Trustworthy Data Integrity With Tricentis

In this 3-minute product tour video, you will learn how Tricentis Data Integrity helps you ensure that your operational and analytical data maintains the highest standard of quality, by catching critical errors at the data, API, and UI layer. Maintaining tedious scripts or teams of analysts performing manual spreadsheet-based validation exercises is very risky as history has shown.

See Data Integrity features in action, including: 

•How the built-in wizard helps you ensure correctly structured data, create pre-built and custom tests, and generate automated test cases for your entire data pipeline
•Reconciliation testing that automatically performs complete source-to-target and row-by-row comparisons
•Report testing to identify errors and determine data discrepancies, allowing you to address key data issues at the source

Bad data is costly — Gartner calculates that the average cost of bad data per company in the U.S. is a staggering $15 million. No matter how skilled and hard-working your data owners are, we’re all susceptible to data errors of different origins. With the right tool, you can be confident that your analytical and operational data retains its quality from end-to-end, from its source to its final destination. Join Tricentis experts Mike White and Kevin Horvath as they discuss the potential errors your data is prone to, and crucially how to overcome them with Tricentis Data Integrity.

Watch this webinar to learn: 

•Potential errors your data can encounter along your business pipeline, from duplication to privacy and security issues
•Why many tools fall short of catching these errors, and the necessary criteria to keep your data clean
•How Tricentis Data Integrity is designed to deliver high-quality data with end-to-end, automated, and continuous testing

Does your organization have an initiative to migrate its data warehouse to Snowflake? Forrester estimates that an average Snowflake migration requires 6 months minimum, and no matter your migration plan, it’s not a simple “lift and shift” process. So how do you ensure data maintains integrity and reporting tools continue to operate seamlessly — and that the move to Snowflake is completed effectively and efficiently? Join Tricentis experts Mike White, Curtis O’Dell, and Phil Harris as they walk you through how to ensure data integrity during and after your Snowflake migration

Watch this webinar to learn:

Best practices for developing a testing plan and data quality verification process
Strategies for accelerating a Snowflake migration while ensuring accuracy, timeliness, and data  integrity throughout the process
How to use the migration as an opportunity to modernize and transform your data quality process

Traditional methods for testing data, such as manual “stare and compare” spot checks and vendor-specific testing tools, are too limited to adequately protect modern SAP environments from data errors. In this webinar, we share a powerful new approach that catches data errors before they can do any damage. Watch it to learn how one large enterprise automated SAP data testing and integrated it into their CI/CD pipeline, as well as how you can:

•Replace time-consuming manual effort with an automated process that can cover massive amounts of data
•Increase the confidence and speed of SAP BW updates
•Ensure SAP updates, upgrades, and migrations don’t negatively impact your data