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Deploying Enterprise Search in PLM Context with Aras


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Enterprise Search Approaches and Options for Corporate-wide PLM using Aras Innovator

Enterprise Search Approaches and Options for Corporate-wide PLM using Aras Innovator

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  • 1. ACE 2011 International Deploying Enterprise  Deploying Enterprise Search in PLM Context  300 Brickstone Square Suite 904 Andover, MA 01810 Andover, MA 01810 [978] 691‐8900 www.aras.comCopyright © 2011 Aras All Rights Reserved.
  • 2. Session Goals What is enterprise search?     Aren’t we just talking about using Google? j g g g What are the drivers for searching PLM content? Does engineering data create any unique challenges or  Does engineering data create any unique challenges or opportunities? The format will be a panel discussion  Aras and 2 experts on PLM search will talk about their different  d h ll lk b h d ff approaches to enabling enterprise search Each will make a short introduction, then your questions Each will make a short introduction then your questions Copyright © 2011 Aras All Rights Reserved. Slide 2
  • 3. Aras Viewpoint User expectations of search have changed in the last 5  years   (google, bing, yahoo) years (google bing yahoo) PLM datasets with > millions of records and files are  increasingly more common increasingly more common PLM doesn’t hold all the data.  Often need to integrate  ERP, CRM, SCM data to create meaningful results ERP CRM SCM data to create meaningful results This creates an increasing challenge for application  developers to deliver to these expectations Copyright © 2011 Aras All Rights Reserved. Slide 3
  • 4. PLM Search Search in a PLM context is not exactly the same as  searching at home g Authentication Issues Authorization to View specific data items must be enforced p Context is sometimes abstract Data is often more structured  • For example:   search in the context of a BOM.  Do we return  1M parts in a result set when the user searches on the model  number of Helicopter – th b f H li t the parts are all directly related to the  t ll di tl l t d t th search, but without some context, 1M result rows is the  wrong approach.  Performance concerns – IT Servers are not infinite capacity Copyright © 2011 Aras All Rights Reserved. Slide 4
  • 5. Aras Search Microsoft Search in Aras Same search engine that is bundled with SharePoint Same search engine that is bundled with SharePoint Combines meta‐data search with full text search of the vault     Vault indexing of Office documents and PDF only g y Index is pre‐populated for fast search Available as a Community project downloadable from  http://www.aras.comm/Community User access rights to data records and files are enforced BUT…     just a long list of results without any value‐add BUT j t l li t f lt ith t l dd Decided our value was secure & open web services and  vault API’s and find partners who are search experts to  vault API’s and find partners who are search experts to build enterprise search add‐ons Copyright © 2011 Aras All Rights Reserved. Slide 5
  • 6. ACE 2011 InternationalDeploying Enterprise SearchDeploying Enterprise SearchIn a PLM ContextAl Cole // id /
  • 7. NorthRidge Software Serving PLM industry since 1997 ProductDashboard (web portal solution) ProductPortfolio (product portfolio management solution) Technical Documentation Knowledge Management (Navy) ( ) Discover Innovator (integrated search application) Enterprise search focus since 2008 hf Google Search Appliance Open Source Apache Lucene/Solr Search‐based ApplicationsCopyright © 2011 Aras All Rights Reserved.
  • 8. Information Challenge Unstructured content explosion Unstructured content is growing between 65% and 200%  Unstructured content is growing between 65% and 200% every year Each user is creating a GB of unstructured content per  year Structured content applications focus on authors User interfaces tend to be complex due to the rich feature  set that must be exposed Difficult for the casual information consumer to master Important content ultimately ends up hidden from them Source: IDCCopyright © 2011 Aras All Rights Reserved.
  • 9. Trends We See Innovation An effective search solution can play an important role in An effective search solution can play an important role in  your innovation cycle Innovation = Effective Search + Collaboration Search‐based Applications Direct correlation to increased satisfaction among  Direct correlation to increased satisfaction among departmental users Content Integration g Incorporating content from outside the corporate firewallCopyright © 2011 Aras All Rights Reserved.
  • 10. ACE 2011 InternationalDeploying Enterprise SearchDeploying Enterprise SearchA Focus on Engineering and Manufacturing EnvironmentsA Focus on Engineering and Manufacturing EnvironmentsMartin van der Roest, Alcove9 // /
  • 11. Backgrounder Alcove9 is business unit of vdR Group, Inc. we build … integration technologies and solutions industry partners sell and market  6 years in the making … over 120,000 users integrations with MatrixOne, Agile, OpenText multiple platform evolution … K2, IDOL, Vivisimo, Exlead now using Open Source SOLRCopyright © 2011 Aras All Rights Reserved.
  • 12. Philosophy on search … what’s  the problem? Req’ts Design Source Build Support RM CAD ERP MRO PDM/PLM ECM ProprietaryCopyright © 2011 Aras All Rights Reserved.
  • 13. Philosophy on search … what’s  the problem? recognize the richness of data parts, assemblies, files, CAD drawings parts assemblies files CAD drawings unify access file systems PLM ECM ERP including Aras Innovator file systems , PLM, ECM, ERP … including Aras Innovator “mashup” provide connector infrastructure provide connector infrastructure leverage open source librariesCopyright © 2011 Aras All Rights Reserved.
  • 14. Product Today search features dynamic categories, parameters dynamic categories parameters virtual properties (mashup) multiple repository access repository access integration with Aras Innovator file systems, SharePoint and Enovia file systems SharePoint and Enovia (MatrixOne) CAD visualization personalization li i DemonstrationCopyright © 2011 Aras All Rights Reserved.
  • 15. Vision improved product‐centric semantics e.g. you say pounds … I say kilograms localization embedded search‐based hyperlinks  properties in meta data and objects in CAD drawings expanded search‐based applications build on the results to drive improved decision making  (BI?) ( ?) mobile?Copyright © 2011 Aras All Rights Reserved.
  • 16. Questions for the Panel al peter Copyright © 2011 Aras All Rights Reserved. Slide 16
  • 17. Wrap‐up Visit the partner web sites for more information: Al Cole,  p // g / Martin van der Roest, Copyright © 2011 Aras All Rights Reserved. Slide 17