Better Testing Through Better Test Data Management

The success of your testing depends on how good your test data is. A good test data set reflects your production data and is proportional to your testing needs. Inadequate test data can lessen the effectiveness of your testing whereas large data sets can be cumbersome and may slow down your testing. Test data management may consume a significant percentage of your testing costs but the more accurate the test data, the better will be the quality of your software.

Weak Test Data Management Strategies Result in Poor Design and Execution Of Test Scenarios

Emerging Trends Necessitate Holistic Management of The Test Data Lifecycle

Regulatory Compliance

Data compliance norms mandate creation, distribution and maintenance of data in a secure and auditable fashion.

Complex Data Structures

Complex data structure resulting from increasing use of Bigdata, Cloud, Mobile and other digital technologies require a structured approach to manage Test Data.

Fraud & Misappropriation

Access to restricted data in response to fraud and data leakages accentuate the need for synthetic data creation.

Technology Changes

Acceptance of DevOps for Agile delivery necessitates testing teams to limit dependency on development teams and become self-sufficient in provisioning test data.

Our “NO COMMITMENT HALF DAY WORKSHOP” Sessions to identify specific focus areas

• With our TDM framework we bring the right principles of data discovery, data sampling, data masking and data manufacturing to the table.
• Our TDM approach has helped our customers to generate right test objects in the downstream environments

To learn more about how Novature Tech improves the distribution, quality, security, and cost of test data, please visit  https://novaturetech.com/

Author: Mohamed Kaleemullah   | Posted On: 28th August 2018   | Category: Article