Content Analytics with Enterprise Search

Searches unstructured data and content

• Performs concept-based (semantic) search of enterprise content and data.
• Processes unstructured information using an open standards platform based on Lucene and unstructured information management architecture (UIMA).
• Provides out-of-the-box enterprise search capabilities for IBM Lotus® Domino®, IBM FileNet® Content Manager, IBM Content Manager Enterprise Edition, IBM WebSphere® Portal, as well as third-party sources.

Analyzes enterprise search results

• Uncovers meaning, relationships and relevant facts hidden in unstructured data.
• Deciphers the meaning and context of human language within textual information found in documents, email, surveys and more.
• Uses natural language processing (NLP) technology found in the IBM Watson™ question answering computing system to extract facts and concepts from content.

Provides insight into trends, patterns and relationships

• Enables interactive, real-time exploration of data to help you understand how and why patterns, relationships and correlations affect desired outcomes.
• Allows easy access and aggregation of information from multiple internal and external information sources and content types.
• Provides accurate and reliable insights for industry solutions such as healthcare and public safety.

Allows greater scalability, flexibility and integration with other IBM systems

• Uses extensible application programming (APIs) interfaces to deliver analysis results to other applications and processes.
• Tackles complex large volume searches from multiple enterprise sources.
• Integrates seamlessly with other IBM solutions, such as IBM Case Manager, IBM InfoSphere®, IBM Netezza®, and business analytics solutions.
• Integrates with IBM InfoSphere BigInsights™, enabling seamless use in big data collections.