New: Test Data Management Solutions – User Reviews: Q1 2017

What are real users in the enterprise tech community saying about test data management solutions in 2017?

This week’s blog post looks at test data management reviews on IT Central Station from Q1 2017.

Users discuss which features they’ve found most valuable, and where they hope to see room for improvement in the following tools:

CA Test Data Manager

Wesley-Miller, an AVP Quality Assurance at GM Financial, writes:

Valuable Features

Test Data Manager allows you to do synthetic data generation. It gives you a high level of confidence in your data that you’re creating.

It also keeps you out of the SOX arena, because there’s no production data within that environment. The more that you can put in controls and keep your data clean, the better off you are.

There are some laws coming into effect in the next year or so that are going to really scrutinize production data being in the lower environments.”

Room for Improvement

“I think one thing we would like to see is how quickly it can be used like a SaaS product”, writes Braja Pradhan, Client Partner at a financial services firm with 1,000-5,000 employees.

Pradhan elaborates that “You can just plug in incoming data that we have from different sources; how quickly that can be integrated and how the test data can be generated. That quickness I think is something that can be improved.

If plugins can be developed very quickly, that will help companies like us, because we have hundreds of data sources.”

Informatica Test Data Management

Valuable Features

Anirudh Nitta, Senior ETL Developer at a financial services firm with 1,000 – 5,000 lists “Data Masking and creating subsets of data” as Informatica Test Data Management’s valuable features.

Nitta describes that “One of our banking clients didn’t want to give live business data to developers, as it had sensitive information. We had to mask the data using Informatica TDM and leverage its built-in algorithm of seed values.

We also had to create a subset of data that had to be given to different teams. For example, the sales team only needed sales information and didn’t require customer information such as Social Security Number. The team working on credit information needed the Social Security Number. So we created subsets of data for each team from the master data.”

Room for Improvement

Gaurav Veerman, Technology Lead at a tech services company with 1,000-5,000 employees, points out two areas with room for improvement:

  • Help file: more detailed steps must be added with illustrative screen images.
  • Administrator support documentation.

Veerman shares that “We did encounter stability issues. The service component on the Informatica PowerCenter server had unexpected outages, multiple times, at irregular intervals.

Although the PowerCenter host server was up and running, the product was not accessible/usable since the TDM service was down.”

IBM InfoSphere Optim

Valuable Features

SeniorTe925c, a Senior Test Analyst at a retailer with 1,000-5,000 employees, lists two of IBM InfoSphere Optim’s valuable features:

  • Data masking
  • Test data environment setup and management

He continues to explain that the solution “Makes it really easy to obfuscate big tables involving lots of columns and to manage 100’s of tables without putting in much effort.”

Room for Improvement

This Senior Test Analyst explains further that “The InfoSphere Optim products work their best when incorporated into a larger Test Data Management initiative rather than performing data masking alone. The process takes a longer time to run.”

Read more 2017 test data management reviews on IT Central Station.