Accelerating time-to-market with fabricated test data

Worldwide Sale Lead Analytics/Optim, IBM

It is vital in today’s business world to protect personal, sensitive data. Understanding the regulatory environment and available tools is just the first step. Relevant test data can help protect your customers. By creating fabricated or synthetic test data, not only are IBM clients able to better manage data risk exposure, but they can also avoid costly penalties. 

But, there are still challenges when building and managing test data environments. Let’s explore these, as well as some of the value points for fabricated test data. 

Finding the right test data

Pulling a subset (or all) of data from production to create production-like testing environments can be both difficult and time consuming. We have heard many of our IT clients say that it sometimes takes them weeks to months (not days) to build fit-for-purpose test environments. When testers try to extract a subset of data from production for testing, the subset they draw from may not provide proper test coverage. This may be due to lack of proper relational integrity (RI) across databases, files and tables, or because of missing test cases that are needed to adequately test the applications. 

When the production data and all related sources are pulled into test, you’re forced to work with very large test environments. In these cases, finding the right data and test coverage can be challenging. If or when gaps exist, it’s difficult to find or experience defects until very late, if ever, in the testing cycle. This adds time and costs that are likely not budgeted for. When production clones are used, testers must often wait to refresh until the broader testing audience is ready. Using rule-based fabricated data that fits testing criteria means that testers don’t need to wait. They can pull the right data when needed, cutting down the time in between cycles to ultimately complete projects faster. 

Enhancing test productivity

While IBM InfoSphere Test Data Fabrication can be used on its own, it’s made more powerful in combination with other solutions. Alongside IBM InfoSphere Test Data Management, you’re able to test data from existing production subsets, as well as create or augment fit-for-purpose test cases and data. These capabilities work together to speed the availability and reliability of smaller test data environments, and help developers to self-refresh and find defects earlier in their test cycles. 

IBM InfoSphere Test Data Fabrication enhances testing productivity, speeds test cycles and time-to-market, and fills data completeness and coverage gaps. Learn more about the significant benefits and capabilities built into the IBM InfoSphere Optim Test Data Fabrication solution by reading the datasheet.

For more information, visit the IBM Optim Test Data Fabrication page.