No need to guess whether your Power BI reports are right. Check out everything you need to automatically validate dataflows, datasets, and dashboards. Catch bad data before it hits your visuals. https://t.co/TQbQ9Ak9Wk

5 Valuable Tips on How to Prevent the Most Common Errors in Test Automation

Read a case study about how QuerySurge helps improve Midland States Bank’s data validation and ETL testing https://t.co/XpWwnhEcCq

The Hidden Cost of Bad Data: Why It’s Undermining Your AI Strategy

If you don’t have the time, bandwidth or the expertise to perform a Proof-Of-Concept, why not have the QuerySurge team do it for you?

Oracle Autonomous Data Warehouse provides a high-performance, self-tuning data warehouse solution for analytics. But you still need to ensure that the data being loaded, transformed, & reported on is correct.​ QuerySurge closes this gap by automatically testing data across every

From Codeless to AI-Powered: The Next Evolution of Test Automation

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QuerySurge delivers continuous, automated validation for MongoDB - so every decision is powered by trusted data. Check it out here>> https://t.co/NKWPIDf13h

Not only does automation makes your testing cycles run faster, but has also positive effect on the credibility and quality of your software solutions. By the way, the main idea of #testautomation is not to exclude manual testing at all but rather make this process faster and more

See how QuerySurge validates data movement through AWS Redshift and DynamoDB, ensuring your cloud data is accurate, consistent, and analytics-ready. https://t.co/SXH5xZh7sW

Organizations must focus on optimizing their QA processes to mitigate the impact of the QA talent shortage. Testing and QA are essential in safeguarding against these threats. By leveraging the proper tools and software platforms, teams can streamline test planning, execution,

Top 7 Strategies for Implementing Automated Testing in #DevOps

Traditional metrics like test coverage, defect rates, or system stability used to define quality. Today, speed is starting to stand in for quality, but it’s a dangerous substitution

How Automation Testing Fits Seamlessly into CI/CD Pipelines

AI in quality assurance (QA) is quietly becoming one of the most powerful tools available to executives. Strong QA does not simply reduce bugs or detect system flaws. It shields companies from regulatory penalties, protects brand reputation, accelerates innovation, and creates

Integrating continuous testing for digital success

The risk of modern tech stacks. Research shows that 42% of organizations anticipate experiencing an incident caused by one of their suppliers. Too often, teams are left flying blind when something goes wrong, which can be frustrating and costly.

Data Integrity in the Age of Analytics: Analyzing Data Validation Challenges in the Technology Industry