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Solutions Understanding "Human Information" | Enterprise Search | Cloud Computing
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Enterprise Search

Autonomy is the acknowledged leader in Pan-Enterprise Search. Enterprise Search infrastructure must be integrative and agnostic, crossing company divisions, geographic locations, vendors, products, software applications, operating systems and languages.

It should support search and eDiscovery across all repositories that contain electronically stored information (ESI), including email, IM, voice, video and text across operational systems, archives and media; stored in centralized corporate servers, fileshares, desktops and handheld devices. The information should be 'plumbed into' once and leveraged for many applications across the enterprise - to extract business value and protect from information risk.

"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: Pan-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 ESI discoverable, regardless of format or location. To be FRCP compliant, Pan-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: PDF Icon Autonomy Security White Paper

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Solutions Understanding "Human Information" | Enterprise Search | Cloud Computing
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