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Archive: Tier business transactions by age and status. Segregate historical information from current activity and safely remove it to a secure archive. Maintain production database in a manageable size to simplify maintenance and speed disaster recovery. Classify: Apply business rules to govern active, inactive and reference data. Define and implement policies - when data needs to be available, where it should be stored, how long it should be retained and who can have access. Assess: Determine where application data is growing fastest and assess the impact of data tiering strategies. Identify and address potential problems before they affect business results.
Test Data Management: Speed application deployment by streamlining the way you create and manage test environments. Subset and migrate data to build realistic and right sized test databases. Eliminate the expense and effort of maintaining multiple database clones. De-identify confidential information to protect privacy. Access: Enable decision makers to access the right data at the right time. Query and browse active, inactive and reference data. Utilize familiar forms, screens and panels. Generate standard and custom reports. Restore archived transactions if business processing becomes a requirement. Store: Store application data according to its evolving business value. Maintain active transactions in high speed storage tiers. Relocate reporting data on secure "WORM" devices. Reclaim underutilized capacity and maximize the value of your existing storage infrastructure.
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