Overview
Align data growth management principles with your business objectives to reduce costs, improve performance, and minimize risk
Manage the volume, velocity and complexity of data growth at the source, by applying best-practice archiving capabilities for structured data
Manage growth of application data and data warehouses – including IBM Netezza – at the business object level, like payments, service orders or shipments
Define business rules and criteria to segregate and safely archive historical data, either directly or by leveraging integrations with InfoSphere Business Glossary.
Apply cost-effective tiered/multi-temperature-storage strategies and maintain archived business records in an historical reference snapshot format
Manage the data lifecycle for retention, disposal & e-discovery consistently across the enterprise
Streamline upgrade projects and safely retire obsolete, redundant or de-supported applications
Increase predictability and ensure success of data growth projects with InfoSphere Blueprint Director
Apply a single, scalable solution across applications (Oracle E-Business Suite, PeopleSoft Enterprise, Siebel CRM, JD Edwards EnterpriseOne, AmdocsCRM), databases (DB2, Informix, Oracle, Sybase, SQL Server, XML) and platforms (Windows, Unix/Linux, z/OS)

