Back to basics: Fundamentals of test data management
sponsored by IBM

Studies reveal that software development projects cancelled due to poor data quality are 15% more costly than successful projects of the same size and type.

A test data management strategy not only ensures greater development and testing efficiencies, but helps organizations identify and correct defects early in the process, at which point they are cheaper and easier to mend.

This paper outlines the two major activities involved in test data management - test data preparation and test data usage - and details the benefits of employing such a method. Read on to learn five pivotal best practices to help streamline test data preparation and usage, including starting by discovering and understanding the data - and also gain insight into how to achieve your test data requirements.

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