Join Rakesh Sukla, accomplished engineering leader and domain expert in Quality Automation, Cloud-Orchestrated CI/CD, and Developer Productivity, as he introduces a Self-Service Test Data Portal designed for financial services.
Discover how it automates the creation, provisioning, and management of diverse test data sets, overcoming dependencies on legacy systems like fraud detection, credit bureaus, and core servicing.
Gain insights on managing test data at an enterprise level, accelerating testing cycles, reducing manual effort, and ensuring full coverage across complex financial workflows.
Don’t miss out, book your free spot now
What’s the biggest challenge in creating secure and reliable test data for financial services?
What mechanisms are in place to mask, anonymize, or synthesize sensitive financial data so that compliance with regulations is ensured?
How do organizations protect confidential financial information through techniques like masking, anonymization, or synthetic data generation to stay compliant?
How can sensitive financial data be transformed—via masking, anonymization, or synthetic equivalents—to ensure regulatory compliance?
How do you balance test data automation with compliance can your data portal pass an audit?
What role can AI play in balancing the need for realistic financial datasets with the strict privacy and masking requirements of the industry ?
How does the TDP make sure o the relevance and realism of the test data for complex financial workflows, such as capturing the nuances of intricate financial transactions, market dynamics, and financial services regulatory requirements?
How does your TDM architecture enforce data privacy at scale masking, subsetting, auditing?
What is your strategy for data masking and anonymization to ensure compliance with regulations like GDPR, while still keeping the data realistic and referentially intact for complex testing scenarios?
Should TDM architecture be centralized for control — or decentralized for agility across teams?
Which is major challenge for financial service ?
Assuming the need for accelerating testing cycles, what mechanisms are in place within the portal to facilitate rapid data provisioning and consumption by testing teams?
With the risks associated with financial systems, what security measures and access controls are integrated into the portal to protect sensitive test data from unauthorized access or breaches?
What mechanisms do you put in place to continuously validate the freshness and correctness of your test data?
How do you prevent data bottlenecks when multiple test suites and pipelines demand large volumes of diverse data simultaneously?
What level of self-service capability is offered by the TDP, and what measures are in place to empower non-technical users in generating, managing, and provisioning test data?
In what ways does the portal contribute to enhanced test coverage across more complex financial workflows?
What strategies best ensure that synthetic or masked test data maintains referential integrity and realistic patterns essential for thorough functional and regression testing?
What practices enhance scalability and performance, enabling rapid data refresh and provisioning in high-demand and parallel testing environments?
