TCS MasterCraft™ for data management
Efficiently provision compliant data for software testing
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TCS MasterCraft™
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TCS MasterCraft™: Enabling Cognitive and Intelligent Automation
TCS MasterCraft™ optimizes processes across software development, QA, low-code development, digital transformation, enterprise data quality, and privacy.
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Masked production data and generative AI driven synthetic data enable privacy safe, regulation ready AI testing for faster releases and improved innovation.
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Highlights
- Copying production data for testing purposes poses a huge privacy threat.
- Manually creating large volumes of realistic test data is an inefficient and error-prone method.
- TCS MasterCraft™ for test data management helps achieve the balance between test data utility and data privacy.
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Introduction
For every terabyte (TB) of data growth in production, 10TB is used for development, testing, and other non-production use cases.
The above challenge increases costs significantly and poses threats to data privacy. Legacy test data management practices can also cause release delays, costly bugs, and compliance faults.
Businesses face an increasing need to generate test data for a variety of testing scenarios while optimizing costs during application testing activity. Therefore, they require a robust and automated test data management tool.
Overview
TCS MasterCraft™ for test data management helps testers deliver privacy-safe data at volume.
By providing a streamlined process for test data management and helping to identify data needs, TCS MasterCraft™ provides testing teams with a solid foundation for testing any application.
Copying production data for testing purposes poses a huge threat to production data privacy, and manually creating large volumes of realistic test data is an inefficient and error-prone method. Automated test data generation is an effective approach to achieve the balance between test data utility and privacy compliance.
Our capability
TCS MasterCraft™ enables the delivery of privacy-safe test data at volume.
Our test data management tool supports the use of test data in various scenarios, such as IT application development, testing, setup of training environments, privacy-safe data sharing, and data analytics. Due to the product’s scalable architecture, it can generate the right-sized, realistic, and privacy-safe test data for various testing purposes in both cloud and hybrid ecosystems.
TCS MasterCraft™ for test data management provides:
Data sampling: Generate a consistent sample of source data.
Sensitive data attribute discovery: Discover potentially sensitive and personally identifiable business data attributes within enterprise data stores.
Static data masking policy: Use prepackaged or create bespoke static data masking policies.
Synthetic data generation: Generate test data from scratch using metadata.
Voluminous data generation: Increase the volume of available test data.
Data profiling: Detect the presence of specific data values important for testing.
Test data versioning: Set up versions of test data to retrieve a specific version.
Test data archiving: Archive test data in an internal repository for future reuse.
Test data reservation: Prevent concurrent usage of the same test dataset for a more controlled approach.
Benefits
TCS MasterCraft™ for test data management helps organizations comply with data privacy requirements during test data management activities.
The capability offers the following benefits:
Provides a policy-based data masking framework to handle the privacy compliance needs of multiple data protection regulations.
Facilitates faster test data delivery through self-service test data provisioning.
Enables hooks for application delivery/DevOps tools to directly invoke test data generation jobs.
Supports various forms of data, such as newly structured, semi-structured, and unstructured.
Includes metadata management as a core feature and not as an ancillary capability.
Swipe LeftSwipe RightTCS MasterCraft™ for data management is helping us with our digital transformation by safeguarding the privacy of our production data for our trading applications. With the flow of new data being interminable, the anonymization should also be automated into a continuous activity.
G Shenoy
Chief Technology Officer, NSE India
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