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A CIO’s Guide to Overcome Challenges of Security, Speed, and Quality with Test Data Management

Within too many large enterprises, test data management (TDM) consumes an inordinate amount <br>of time, effort, and budget. For example, for the team at one U.S.-based insurance company, test <br>data collection consumed 16% of total testing efforts. That means for a $20 million delivery, $3 <br>million was solely being spent on TDM. By establishing advanced TDM capabilities, this firm was <br>able to reduce testing costs by $450,000.<br>

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A CIO’s Guide to Overcome Challenges of Security, Speed, and Quality with Test Data Management

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  1. A CIO’s Guide to Overcome Challenges of Security, Speed, and Quality with Test Data Management

  2. A CIO’s Guide to Overcome Challenges of Security, Speed, and Quality with Test Data Management Within too many large enterprises, test data management (TDM) consumes an inordinate amount of time, effort, and budget. For example, for the team at one U.S.-based insurance company, test data collection consumed 16% of total testing efforts. That means for a $20 million delivery, $3 million was solely being spent on TDM. By establishing advanced TDM capabilities, this firm was able to reduce testing costs by $450,000.This white paper describes why TDM is so vital and outlines some of the challenges confronting teams currently. It then details the critical steps required for establishing a successful TDM implementation Industry Drivers of Test Data Management: As enterprises strive to deliver high-quality applications at the lowest possible cost, they need to gather, manage, and aggregate humongous volumes of customer data to build robust and comprehensive TDM capabilities that support agile delivery models have become imperative. As enterprises turn to Agile development and testing in a DevOps culture, dearth of good quality test data has emerged as the top challenge

  3. A CIO’s Guide to Overcome Challenges of Security, Speed, and Quality with Test Data Management Why Test Data Management Matters Data that is accurate, relevant, and of high quality is critical to the three pillars of Continuous Delivery: Test Coverage, Automation, and Continuous Testing. With quality data, one can detect defects earlier in the development lifecycle, resulting in a less expensive fix and a lower risk of bugs in production If testing and QA fail due to poor data quality, it has an adverse effect on the final product. As a result, dissatisfied customers may reach out to social media to complain and later switch their loyalty to another brand, influencing friends and other followers. Interesting right? Want to know more on this topic: https://bit.ly/3Pr0BYJ

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