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The 5-Step Process for Effective Test Data Management

Jul 12, 2021 2:36:43 PM   Datasource Consulting

Topics: Blog, Test Data Management

Leverage the Full Value of Your Data with the Proper Approach

By: Datasource Consulting

What is Test Data Management anyway? TDM is a set of processes, technologies, and people used to automate the provisioning of non-production data sets to leverage in performing system and application testing in non-production environments.

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Test Data Management: Getting Started

Apr 6, 2018 12:56:39 PM   Katie Claveau

Topics: Test Data Management

The Test Data Management methodology lays a foundation for identifying and generating appropriate datasets for software application testing. Test Data Management (TDM) is critical for Quality Assurance teams to ensure high data quality and expected application performance in production environments. The better a test environment reflects a production environment, the more confident you can be in every release. Test data can either be generated, or obfuscated from the source system. This article walks through common considerations in a test data management implementation.

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5 Steps to Better Test Data Management

Jan 31, 2017 10:37:00 AM   Datasource Consulting

Topics: Blog, Test Data Management

Overcome Common Hurdles to Building a Strong Test Data Management Program

By: Datasource Consulting

For businesses seeking optimal functionality, Test Data Management (TDM) is a crucial component of the organization’s IT structure and ongoing business strategy. Without TDM, your business is at risk for production environment application failures and subsequent breach fines, which have increased 23 percent over the past two years and can cost up to $500,000 per incident (Source: 2015 Cost of a Data Breach Study: Global Analysis).

At Datasource, we hear from multiple companies that the absence of proper test data is the chief culprit behind lackluster testing plans and problems in production. Applications require different types or volumes of test data, which makes the process even more challenging. Insufficient test data causes nearly one-third of the incidents in QA/non-production environments, and is a major reason why nearly two-thirds of business applications reach production without being properly vetted. 

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