Accelerate Testing & Release Cycles with Centralized TDM

The Challenge

The magnitude and intricacy of enterprise technology systems are rapidly increasing. Modern developers rely on substantial amounts of test data to ensure swift and flawless application releases. Without this, enterprises face the possibility of launching faulty software that could disrupt crucial operations and trigger a chain of failures within a business unit. The Insurance firm was encountering the following challenges:

• Lack of a comprehensive end-to-end TDM framework affecting the introduction and updates of new application features
• Outdated testing methods, provisioning protocols, and manual processes causing significant data provisioning delays
• Project teams stretched thin due to tasks related to data acquisition and delivery
• Inadequate data masking in non-production environments posing a high risk of compliance breaches.

Client’s Requirements:

• Seeking a specialized solution provider to establish a comprehensive end-to-end TDM framework
• Transition to an agile delivery model with accelerated development cycles and stringent testing requirements
• Urgent implementation of TDM solution to support quicker processes
• Automation of test data provisioning to relieve project team workloads
• Ensuring data security, privacy compliance, and elimination of data breach risks

The Solution

We initiated a four-stage delivery approach. First, we assessed the client’s usage scenarios and application landscape for understanding of their data-related challenges. Then, we constructed POC using the chosen tools, and set up the necessary infrastructure, databases, and networks to effectively implement the TDM solution across application clusters. The subsequent phase involved abstracting and virtualizing the data sources to reduce their storage demands. Concurrently, we refined legacy PII parameters and introduced a masked version of their virtualized central dataset into the pre-production environment.

In order to empower the development and IQE teams to independently manage data refresh cycles within their production environments, we established a self-service portal along with an expedited protocol for adjusting data refresh frequency and conducting clean-up activities. We then demonstrated and deployed the TDM applications across multiple clusters in a systematic manner, commencing the synthetic test data generation process.