Agile Test Data Management is Gaining Traction, Are You Ready

3 min read
Curated from cigniti.com →

Most businesses are adopting agile methodologies, and as a result, they are recognizing the importance of continuous testing. The change to a more flexible and dynamic development process needs quick access to relevant test data. Whether through functional testing, performance testing, or service virtualization, managing test data improves the quality of testing activities.

According to Forrester, “Test data management is in transition. As development processes speed up, inadequate quality feedback comes back to the testers and developers more quickly, often resulting in poor TDM. AD&D practices should adopt a TDM strategy for supporting Agile and DevOps that focuses on automating governance.”

IT companies spend 30% of their time and effort handling challenges with test data management, as well as expensive test environment CAPEX and maintenance costs owing to data quantity, which is comparable to production. While there is no established, consistent, and repeatable procedure for providing test data that is “fit for purpose” and provides enhanced test coverage, businesses that utilize live data for testing run the risk of violating compliance, regulatory, and consumer confidence.

The consequences of badly managed test data

Test engineers must create, update, and store input test data, as well as track and manage test results. For the same reason, test data management should be taken into account during any manual or automated testing. The following are some of the consequences of ignoring and mismanaging test data:
Test inefficiency has resulted in higher costs and longer cycle times.

Costs of data storage and upkeep are high.

Added analytical and debugging work

Added business risk as a result of insufficient or inaccurate test findings

When using production data, there is a risk of a data security breach.
The cost of test data may continue to be a considerable part of the entire cost of testing. However, the higher the quality of your test data, the better your testing efforts will be.

Can you afford the cost of failure in a competitive market?

Why does Agile Test Data Management Matter?

Due to data sensitivity, complicated infrastructure, varied data sources, and, of course, restricted availability, managing test data quality is extremely difficult. Any business testing’s performance is determined by the ability and availability of high-quality, as-real-as-possible ‘test data.’ As a result, a solid Test Data Management system is critical to the success of your data strategy as well as your entire testing approach.
Clients frequently question the advantages of Agile Test Data Management operations in projects, which consume a substantial amount of time and effort.

Continue Reading

Enjoyed this summary? Read the complete article at the source:

Continue at cigniti.com →

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.