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Evolution of Search | | | Pan-Enterprise Search | | | Keyword & Boolean |
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Overview
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Enterprise Search
Autonomy is the acknowledged leader in pan-enterprise search. Enterprise search platforms automate the retrieval, processing, and management of information throughout a global organization, transcending company divisions, operating systems, language-barriers and file types; provide unrivalled performance, scalability and fault tolerance; and are fully FRCP compliant.
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Find out more about Enterprise Search |
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"Autonomy has won the Enterprise Search Wars"
Computer Business Review, December 2008
True pan-enterprise search demands:
Access to ALL data sources and file types: 80% of information within the enterprise is now unstructured, consisting of text, audio and video. This must be processed for regulatory reasons and to harness its true value
Language independence: Enterprises today have operations across the globe conducting business in numerous languages
Compatibility with all Operating Systems in the enterprise: Enterprise search platforms need to be completely neutral within the enterprise and be able to work with any operating system
FRCP compliance: The FRCP render all relevant Electronically Stored Information (ESI) discoverable, regardless of format or location. To be FRCP compliant, enterprise search platforms:
Need to search ALL repositories
Cannot perform jump out - a sleight of hand used to feign performance where the search engine stops looking across an index as soon as it is believed a large enough group of results has been assembled
Need to produce auditable results - hence ALL data needs to be searched fully
Need to be able to pass results to a hold function - ensuring that relevant ESI is preserved, not altered in any way or deleted
Distribution and Fault Tolerance: For organizations that are geographically distributed, local replicas should be automatically created and utilized where possible. Remote copies should only be used when a local system fails, thereby building fault tolerance, the benefits of local performance and a reduction of resource overhead into a single, seamless service
Load Balancing: Data should automatically be replicated across multiple servers and user requests should be load balanced across these replicas, guaranteeing performance, reducing latency and improving user-experience.
Mirroring/Failover: Automatically generated replicas should be used to provide a pool of servers. The primary resource should be automatically selected and the system should switch to secondary systems if it fails so that service continues uninterrupted.
"People who are serious about search - those who have really done their homework - are going with the enterprise search specialists such as Autonomy"
Royce Bell, CEO of Accenture Information Management Services, 2007
| Further Reference: |
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Autonomy ControlPoint White Paper - Enterprise-Proofing SharePoint |
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Autonomy Security White Paper |
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IDOL Enterprise Desktop Search Technical Brief |
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IDOL Enterprise Desktop Search White Paper |
Forthcoming Events
Archived Events
There do not seem to be any upcoming events related to this page at the moment, please visit our seminar and webinar pages for more information.
There do not seem to be any case studies related to this page available yet, however please visit our publications site at http://publications.autonomy.com/ for more information.
| Technology |
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Evolution of Search | | | Pan-Enterprise Search | | | Keyword & Boolean |
|
