Your organization depends on critical applications and business analytic platforms to drive results. But it can be challenging to stay within tight budgets while striving to speed the deployment of new functionality, upgrades and enhancements. Creating realistic development and testing environments is critical to delivering the right solutions for the business. However, cloning large production databases or data warehouses for development and testing extends cycle times, increases the amount of data propagated across the organization and significantly raises costs. In addition, cloned data may not support the specific error and boundary conditions required for effective testing. Cloning production systems means manually validating test results. This exercise is often time-consuming and error-prone. With so much test data to manage, time and costs can quickly spiral, maintenance burdens may increase and rolling out new features will require much more of your organization's time and resources. Your ultimate goal is to deliver reliable functionality to support operational best practices, stay competitive and generate revenue. So how can you support rapid, agile deployment and reduce costs without sacrificing quality?
IBM InfoSphere Optim Test Data Management offers easy-to-use, proven technology to optimize and automate the test data management process, complete with workflows and services on demand. Development and testing teams can utilize realistic, right-sized test databases or data warehouses, made up of one or more business objects, for targeted test scenarios based on enterprise-wide data governance policies. InfoSphere Optim Test Data Management protects data privacy by applying masking routines to de-identify data, which facilitates testing while keeping sensitive data secure. Also, InfoSphere Optim Test Data Management will compare the data from "before" and "after" testing with speed and accuracy to help testers and developers pinpoint errors or defects.
InfoSphere Optim Test Data Management provides a user-friendly test data management workflow, improving predictability and repeatability of testing efforts. Testers and developers can access and refresh test data on demand that has been masked and provisioned by database administrators (DBAs), and reuse test data artifacts through the test data knowledge base. With InfoSphere Optim Test Data Management, developers and testers can request services, access test data, refresh test data and more via a web interface. For DBAs, InfoSphere Optim offers an intuitive user experience to get projects started more quickly. The solution empowers novice users to contribute immediately.
Finally, InfoSphere Optim promotes data governance by providing organizations with a standard way to define test data management policies and standards throughout the data lifecycle. InfoSphere Optim can create and execute policies, validate compliance with internal and external standards and report on test data management practices.