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How To Deploy Enterprise Strength Search in Office 365 Webinar


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This is a fast paced, informative ‘How To’ webinar on achieving enterprise strength search in the cloud or in a hybrid environment. What are the challenges? What is poor search costing you? And most importantly, how do you accomplish this? Find out in this 15 minute webinar.

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How To Deploy Enterprise Strength Search in Office 365 Webinar

  1. 1. How To Deploy Enterprise Strength Search in Office 365 Don Miller Vice President of Sales Concept Searching Twitter @conceptsearch
  2. 2. Agenda • Achieving enterprise strength search • In the cloud • In a hybrid environment • What are the challenges? • What is poor search costing you? • How do you achieve intelligent search? • Demonstration
  3. 3. • Company founded in 2002 • Product launched in 2003 • Focus on management of structured and unstructured information • Technology Platform • Delivered as a web service • Automatic concept identification, content tagging, auto-classification, taxonomy management • Only statistical vendor that can extract conceptual metadata • 2009, 2010, 2011, 2012, 2013, 2014 ‘100 Companies that Matter in KM’ KMWorld and Trend Setting product of 2009, 2010, 2011, 2012, 2013 • Authority to Operate enterprise wide US Air Force and enterprise wide NETCON US Army • Locations: US, UK, and South Africa • Client base: Fortune 500/1000 organizations • Microsoft Business-Critical SharePoint Program partner, Gold Certification in Application Development • Smart Content Framework™ for Information Governance comprising • Five Building Blocks for success • Product Platforms: conceptClassifier for SharePoint, conceptClassifier for Office 365, conceptClassifier, and Concept Searching Technology The Global Leader in Managed Metadata Solutions
  4. 4. A manual metadata approach will fail 95%+ of the time Issue Organizational Impact Inconsistent Less than 50% of content is correctly indexed, meta-tagged or efficiently searchable rendering it unusable to the organization (IDC) Subjective Highly trained information specialists will agree on meta tags between 33%-50% of the time (C. Cleverdon) Cumbersome - expensive Average cost of manually tagging one item runs from $4 - $7 per document and does not factor in the accuracy of the meta tags nor the repercussions from mistagged content (Hoovers) Malicious compliance End users select first value in list (Perspectives on Metadata, Sarah Courier) No perceived value for end user What’s in it for me? End user creates document, does not see value for organization nor risks associated with litigation and non-conformance to policies What have you seen Metadata will continue to be a problem due to inconsistent human behavior Manual Approach Leads to Failure
  5. 5. • Concept Searching’s unique statistical concept identification underpins all technologies • Multi-word suggestion is explicitly more valuable than single term suggestion algorithms Concept Searching has a unique approach to ensure success • conceptClassifier will generate conceptual metadata by extracting multi-word terms that identify ‘triple heart bypass’ as a concept as opposed to single keywords • Metadata can be used by any search engine index or any application/process that uses metadata. Concept Searching provides Automatic Concept Term Extraction Triple Baseball Three Heart Organ Center Bypass Highway Avoid Our Approach
  6. 6. Learning to Search • Searchers do not know ‘how to search’ • 56% constructed poor queries • Proficiency with the machine does not translate into proficiency with the software • Searchers get lost in the data • 33% had difficulty navigating/orienting search results • 28% had difficulty maintaining orientation on a website • Loss of capacity for discernment • 36% did not go beyond the first 3 search results (not pages…results on page 1) • 91% did not go beyond the first page of search results • 55% selected irrelevant results 1 or more times
  7. 7. • Enterprise versus Internet search is a different animal • In the enterprise, end users know the information is there, if they could only find it • As a result, they will spend more time and aggravation looking for that one asset and don’t want to give up (IDC) • Enterprise end users expect information to be found within 4 minutes but will actually spend 2.5 hours per day looking for information • How do enterprise users overcome poor search results? • Recreate information • Use outdated or older versions of information • Interrupt a co-worker • Forget about finding the information • Just don’t start the task The Typical Search Approach
  8. 8. The Intelligent Search Approach
  9. 9. • Runs natively and bi-directionally with the SharePoint Term Store in any environment • Portability – access to information regardless of where it resides or how it is stored • Provides ‘intelligent’ migration capabilities • Enables management of one term store for on-premise and Office 365 use • Maintains GUIDs • Delivers enterprise-class, automatic document classification for all SharePoint, FILE, and HTTP document types • Protects records and confidential information from inadvertently being placed in the cloud, to avoid data breaches and unauthorized access to information • Enables concept based search and retrieval, integrated with Microsoft search solutions • Provides a method to enable text analytics from multiple data sources without impacting on-premise server utilization conceptClassifier for Office 365
  10. 10. • People explore concepts – computers find keywords • Recall versus Precision • Location Search • Users know what they are looking for • Search engine must retrieve exactly, and only, the information required • Discovery Search • Users do not know precisely what they are looking fort • Search engine must retrieve content that ‘appears’ to answer the query • Search engine must be able to accommodate both types of searching • The hierarchy provided by a taxonomy addresses the two different search approaches. Location based searches appear simple, but in fact are not. • If end users do not immediately find what they are looking for, they can use the hierarchical structure to drill down, by searching the concepts or taxonomy nodes. • Outcome: Identify associations and relationships that are typically not obvious in searching • More relevant information being found more quickly • Accessing inter-related ideas and concepts supports a fundamental change in user focus and activity, transforming it from searching to insight and discovery Taxonomy Navigation
  11. 11. It’s Not Just About Search! • Data Privacy • Records Management • Migration • Enterprise Content Management • Information Governance • Legal, eDiscovery, FOIA • Collaboration/Social • Text Analytics
  12. 12. Demonstration
  13. 13. Thank You Find recordings of all the product webinars in our How To series on our website here Don Miller Vice President of Sales Concept Searching Twitter @conceptsearch