General Motors
BP
Ford Motor Company
AstraZeneca
DaimlerChrysler
CNN
General Electric
US Senate
Credit Suisse First Boston
Volkswagen
Siemens
Philip Morris
Bloomberg
Verizon
Hewlett Packard
AT&T
FIAT
Nestle
General Dynamics
3
Hewlett Packard
3
ABN Amro
UBS Warburg
Merrill Lynch
Sun Microsystems
New York Stock Exchange
The Economist
France Telecom
Boeing
Lafarge
Sun Microsystems
Safeway
People's Republic of China's
Ministry of Agriculture
Credit Lyonnais
Nordea
Swiss Army
AT&T
Tesco
Nestle
T-Mobile
HM Revenue & Customs
Pfizer
Philips
3
Sybase
Ingersoll-Rand
Sprint
New York Life Insurance
Lloyds
Canon USA
BP
Novell
Ericsson
Britvic Softdrinks
US Department of Defense
EDS
Lloyds
Pfizer
Philip Morris International
Royal & SunAlliance
Novartis
Credit Lyonnais
Sun Microsystems
MOL
British American Tobacco
General Electric
Norsk Hydro
AstraZeneca
Skanska
Siemens
BAE Systems
Philips
General Motors
Kodak
The Royal Mail Group
Sun Microsystems
Henkel
Ericsson
Bank of Montreal
Royal & SunAlliance
Danske Bank
US State Department
BMW
Kronos Corporation
Macmillan Publishing
Fujitsu Technology Services
Zurich Financial Services
Halliburton
AstraZeneca
BBC
Blue Cross/Blue Shield of Massachusetts
Vodafone Omnitel
T-Mobile
Channel 4 Corporation
VHA
Danske Bank
Burges Salmon
Motorola
British Telecom
Ferrari
Deloitte & Touche
PA Consulting
US Army
UK Department of Trade & Industry
EMC Corporation
US Department of Commerce
Encana Corporation
IEEE
Hewitt Associates LLC
HEALTHvision
Paramount
Lexmark
US Department of Commerce
US Department of Defense
JD Edwards
Ingersoll-Rand
PricewaterhouseCoopers
Nestle
Vodafone Omnitel
Nomura
US State Department
Reed Elsevier
Dow Chemical Company
AT&T
Siemens Power Generation
The McGraw-Hill Companies
Texas Instruments
Forrester Research
McData
Wall Street Journal
Lloyds
NASA
AstraZeneca
BP
SCA
3
UK Department of Trade & Industry
Reuters
AstraZeneca
ITN
IBM NICA
AstraZeneca
Forbes.com
BBC
Nestle
Nissan North America, Inc.
Toyota Motor
The McGraw-Hill Companies
Fox Sports
Society of Petroleum Engineers
US Department of Energy
European Commission
Telecom Italia
Harrah's
AXA
General Motors
Sybase
Napster
Philips
Oracle
US State Department
Compuware
3
Olympus
ARM
BBC
Taylor & Francis
Federal Express
Nissan Motor
Siemens
Milward Brown Precis
Federal Government of Canada
UK Home Office
HM Revenue & Customs
3
US Department of Defense
Harvard Business School
Nestle
Britvic Softdrinks
3
MOL
Macmillan Publishing
Allianz Life Insurance Co
UK Department of Trade & Industry
Hewlett Packard
Philips
Swiss Army
Parliament of Singapore
VMS
Singapore Police Force
Sony Music
GSA Advantage!
New York Life Insurance
Kaiser Permanente
Lloyds
ABN Amro
Stanford Business School
Johns Hopkins
Wachovia
Standard Life Insurance
Raytheon
BP
Commerzbank
Philips
Ericsson
Allstate Insurance
State of Washington
AstraZeneca
Napa Valley County
Texas Department of Transportation
American HomePatient
General Motors
TIBCO
Sharper Image
Xerox
America Online
Lockheed Northrop Grumman
US State Department
Dow Chemical Company
AstraZeneca
Draeger Medical
Sutter Health
General Motors
Kenyan AIDS Clinic
University of Washington
Henkel
State of Minnesota
World Wildlife Fund
Autonomy Group Customers
 
Search & Retrieval
Analytics, Visualization & Taxonomy
Collaboration & Personalization

Functionality IDOL Eduction | Content Rationalization | Collaboration and Expertise Networks
Overview
Related Events
Related Case Studies
Related Resources
Related News

Content Rationalization

When content is created or indexed, IDOL automatically detects whether the information already exists in the system and can trigger the appropriate action, automating the rationalization of content and reducing duplication of both storage and effort.

For example, if this operation is performed at content creation time, the author may be alerted to the existence of duplicate files, providing the opportunity to aggregate the two sources. Alternatively, this detection can be executed when the data is spidered and indexed. For example, when spidering multiple websites or document management servers that contain an overlap of information, IDOL helps avoid search results filled with many pages that are nearly identical.

IDOL can automatically suggest similar documents within a user interface, allowing administrators to manually choose the exact data that is to be deleted.

Key Benefits

Minimize duplication of work
Pinpoint regulatory and corporate compliance issues exposed through content
Decrease storage costs associated with document duplication and obsolete content
"A company that never fails to impress us with its own innovation is Autonomy."
AMR Research

This is a selection of our forthcoming events, please visit our seminars page for more information.

Automatic Hyperlinks provided by IDOL Server 7

This is a small selection of the Autonomy case studies available, please visit our publications site at http://publications.autonomy.com/ for more information.

Automatic Hyperlinks provided by IDOL Server 7

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