Business moves fast—which means that software development teams need to move even faster. The emergence of new software development models, such as the agile development process and cloud testing environments and DevOps are driving a new era of computing.
To make the most of the new era of computing, organizations need effective and efficient testing strategies for continuous testing – complete with processes for governing test data. However, many development, testing and quality assurance (QA) teams struggle to create and maintain the required test data. IT departments often lack confidence about test data preparation and data usage.
That’s where test data management comes in.
IBM InfoSphere Optim offers comprehensive test data management capabilities for creating “right-sized”, fictionalized test databases that accurately reflect end-to-end business processes. Organizations eliminate costly cloning processes and correct defects early in the development process. InfoSphere Optim scales to across applications, databases, operating systems and hardware platforms. Secure your test environments, improve quality, accelerate release cycles and reduce costs with InfoSphere Optim.
The InfoSphere Optim Test Data Management solutions can:
Reduce Cost: Automate creation of realistic "right sized" test data to reduce the size of test environments.
Reduce Risk: Mask sensitive information for compliance and protection
Speed Delivery: Refresh test data speeding testing and application delivery
Achieve competitive advantage through continuous testing
Test Data Management in the DevOps Lifecycle Blog
Exploring Successful Approaches to Test Data Management
A white paper by Bloor Research
InfoSphere Optim Test Data Management Solution Demo
Deliver quality applications on time and on budget
Back to basics
Fundamentals of test data management
Data lifecycle management strategies
The importance of the complete business object