Choosing the right use case for test data management tools is often a challenge for organizations. Our deck helps guide that decision-making process by presenting a range of practical, real-world applications. It’s designed to help your team align technology with organizational needs faster.
Each use case in the deck includes hard industry data on the costs of poor test data management, along with the strategic importance of solving those pain points. From compliance risks to inefficiencies in development cycles, this resource paints a clear picture of what’s at stake as well as how Syntho can help you overcome specific challenges with powerful, tailored test data solutions. Here’s a preview of what you’ll get out of this document:
Companies spend $5 million annually on bugs fixes due to poor testing
Of QA team’s time is wasted managing invalid test data
Higher cost when testing manually
Of compliance breaches in 2024 stemmed from inadequate software testing plans
Managing test data isn’t just a technical task — it’s a strategic advantage. Using real production data introduces delays, risks, and compliance challenges. This is where synthetic test data and smart data masking step in:
Our whitepaper dives into real-life implementations from companies solving these
Quantified insights on the cost of poor test data
Ensure privacy and compliance
Boost QA efficiency and coverage
Accelerate testing with synthetic data
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