Automate policy for unstructured data

IBM® StoredIQ Suite helps you address the problems that challenge your data discovery, records management, compliance activities, storage optimization and data migration initiatives. By providing an in-depth and in-place unstructured data assessment, this software gives organizations visibility into data to make more informed business decisions. StoredIQ for Legal provides a platform that streamlines eDiscovery for legal stakeholders by providing an organized, systemic approach to eDiscovery. StoredIQ bundles with StoredIQ Policy to automate policy.

Provides in-place data management

In-place data management enables an organization to discover, recognize, and act on unstructured data without moving it to a repository or specialty application.

Includes powerful search

Delivers a powerful search function designed to accelerate the understanding of large amounts of unstructured content.

Simplifies analysis

Provides simplified and detailed analysis of large amounts of corporate data. Analyzes and manages data in-place, which lessens the impact traditionally associated with moving data between locations.

Provides actionable intelligence

Empowers your enterprise with actionable intelligence that supports many different policy actions such as copy, delete, move, copy to retention or export.

Delivers data

In-place data management capabilities help enhance your efforts regarding remediation of regulatory and corporate policy violations.

StoredIQ for GDPR

StoredIQ GDPR-focused analytics cartridges provide advanced search capabilities specifically focused to discover country specific personal and unstructured data subject to the GDPR.

Key features

  • Automate policy across unstructured data
  • Provide a systemic approach to eDiscovery
  • Streamline the eDiscovery process for stakeholders
  • Enhance your ability to make informed decisions
  • Interactive UI with highly scalable search and analysis
  • Manage both unstructured and structured data in one place
  • Accelerate document classification with Machine Learning