IBM InfoSphere Optim

Archive data from decommissioned applications and historical transaction records, while providing ongoing access to the data for query and reporting that is compliant with retention regulations.

Scale data across applications, databases, operating systems and hardware platforms. Thus, securing your test environments, accelerating release cycles and reducing costs.

Obtain proven data lifecycle management capabilities, maximizing the business value of data warehouse and big data environments through managing data growth and lowering TCO.

Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks associated with managing structured data throughout its lifetime.

Extract data across systems and databases into test environments for rapid software testing, while maintaining test integrity.

Protect non-production confidential data, using a variety of masking techniques across databases, applications and systems.

Decommission and archive applications and their data to reduce storage costs and risks, while keeping the necessary data.

Accelerate software development lifecycles, using rule-based synthetic data creation to meet testing needs, while reducing risk.

Use easy-to-define rules to calculate and extract the test data values needed to match the exact requirements of test cases.

In collaboration with IBM, Rabobank built a test-data factory to automate extracting production data and delivering it to test systems, using pseudonymization to maintain data privacy. 

By reducing the production database footprint through archiving historical data, Molina Healthcare, Inc., has unlocked significant cost savings, achieving a positive return on investment within one year.

By reducing the size of the data set by 90 percent, BinckBank is able to provision all its test environments with new data within a single day, and make significant savings on servers and storage.