Test Data Management (TDM) services
Accurate Data, Reliable Results
Do you know that most software projects can fail due to poor data quality? Indium’s Test Data Management (TDM) service is a go-to solution to ensure your testing efforts are fueled by accurate, secure, and relevant data.
Indium’s TDM services streamline your testing process, ensuring your data is accurate, secure, and relevant. Our expert team and advanced tools optimize data creation, management, and maintenance, enabling you to validate your applications’ integrity and performance.
Our services
The Process
Stakeholder Engagement
Define project scope and align with quality engineering principles.
Needs Assessment
Analyze test data requirements focusing on quality and compliance.
Data Sourcing
Identify and document relevant data sources.
Data Production and Masking
Generate and anonymize data, balancing privacy with accuracy.
Environment Provisioning
Distribute test data across environments while maintaining quality standards.
Data Verification
Validate data accuracy and consistency
Testing Execution
Support diverse testing types using high-quality data.
Data Management
Continuously monitor, update, and maintain test data integrity.
Our Approach
Our TDM approach revolves around creating a golden copy of production data and ensuring test environments mirror production for accurate testing outcomes.
Source Database
Goal-Centric Quality Strategy
Test Data Management
Self-Service Portal
DB Virtual Copies
Applications
Why choose Indium
Frequently Asked Questions
By integrating TDM services, you can significantly improve software quality, enhance defect detection, and ensure that your products meet the highest standards of reliability and performance.
We employ advanced anonymization techniques, such as tokenization, masking, and encryption, while preserving the data’s structural integrity and relevant patterns to ensure effective testing.
We maintain consistency through automated data synchronization and provisioning tools, ensuring that test data remains uniform across development, QA, and production environments.
We prioritize security in cloud environments through encryption, access controls, and adherence to cloud security standards, along with robust data masking and anonymization practices.
Key compliance considerations include adhering to data privacy regulations (like GDPR and HIPAA), ensuring data masking and anonymization, and maintaining audit trails to demonstrate regulatory adherence.
Synthetic data generation allows us to create large volumes of high-quality test data, which is invaluable when real data is scarce or sensitive, enhancing testing efficiency and coverage.
We manage large volumes of test data through our data generation tool, efficient data provisioning platform, and automated processes that streamline data handling and ensure quality.
We optimize TDM processes by aligning them with sprint cycles, using our agile-compatible tool for data provisioning and masking, and ensuring rapid availability of test data to support iterative development and testing.
Our TDM services can address several key challenges and enhance your testing processes. Consider the following scenarios to determine if our TDM services are right for your organization:
· Managing Large Volumes of Test Data: We can automate generating and provisioning large volumes of test data.
· Ensuring Data Consistency Across Environments: Our solutions provide consistent and accurate test data across different environments.
· Addressing Data Privacy and Security: We offer data de-identification and secure data management.
· Reducing Manual Test Data Preparation Efforts: Our solutions automate the test data creation.
· Handling Complex Data Scenarios: We create synthetic data that accurately reflects various business scenarios.
· Supporting Performance Testing Needs: We provide high-volume data and simulate load conditions.
· Integrating Test Data with Other Systems: Our services offer seamless data transfer and synchronization integration capabilities.
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