IBM InfoSphere - InnoWave

IBM InfoSphere Optim for Dynamic Data Masking and Test Data Management

Dynamic data masking at runtime with IBM InfoSphere Optim

InnoWave delivers specialized IBM InfoSphere Optim
solutions for comprehensive data lifecycle
management, from test data creation to secure
archiving, enabling financial institutions to enhance
performance, ensure compliance, and reduce
operational risks across hybrid environments.

Accelerate application delivery

Organizations rely on mission-critical applications to drive business results, often adopting agile methodologies to deliver reliable functionality at speed. IBM InfoSphere® Optim™ Test Data Management helps optimize and automate the creation and management of test data for non-production environments. By enabling effective testing strategies and production-like data, it allows teams to identify issues earlier, reduce risk, and prevent failures caused by inaccurate or flawed test data improving quality across the entire application testing lifecycle.

Create production-like test environments

Build right-sized, fictionalized test databases that accurately reflect real business processes – reducing the need for costly cloning and enabling earlier defect detection.

Use a single, scalable solution

Scale test data management seamlessly as development and testing demands grow, across widely used applications, databases, operating systems, and platforms.

Protect sensitive data and reduce risk

Mask sensitive information – such as credit card data, email addresses, and confidential records – while preserving data realism and contextual integrity.

Streamline development and testing processes

Support agile workflows by enabling on-demand access and refresh of test data, improving efficiency and giving teams more time to focus on quality.

Benefits

Preserves business context and data integrity

Manage test data at the business object level to maintain relational integrity and real business meaning - creating production-like environments that support end-to-end test scenarios across systems.

Uncovers hidden data relationships

Use advanced data analysis to identify correlations, overlaps, and key dependencies across sources— improving data accuracy and test coverage.

Enforces governance and compliance by design

Apply standardized data classifications and privacy rules to consistently govern test data, ensuring policies are enforced throughout the lifecycle with automated masking.

Aligns IT efficiency with financial outcomes

Optimize test data to reduce storage and cloning costs, protect sensitive information, and support scalable, cost-efficient testing aligned with business objectives.

Automates data comparison and validation.

Eliminate manual, error-prone comparisons with automated analysis that quickly identifies expected changes and uncovers critical discrepancies

Challenges

Data privacy and compliance risks

Incomplete or ineffective masking can expose sensitive data, creating regulatory and security risks during non-production testing.

Managing large and complex data volumes

Enterprises must process vast, diverse datasets at scale, requiring high performance without disrupting ongoing operations.

Maintaining realistic test data

Masked data must preserve relationships, formats, and distributions to ensure tests remain accurate and production-ready.

Resource-intensive implementation

Deploying test data management solutions demands infrastructure, licensing, and specialized expertise to configure and operate effectively.

Integration with legacy environments

Older systems and fragmented architectures slow integration, reducing agility and increasing rollout complexity.

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