Achieving a New Level of Search Optimization with Google Search Appliance

Transcription

1 Achieving a New Level of Search Optimization with Google Search Appliance Paul Billingham Sales Director Europe Concept Searching [email protected] John Challis Founder and CEO/CTO Concept Searching [email protected] [email protected] Concept Searching 2015

2 Expert Speakers Paul Billingham Sales Director Europe at Concept Searching has been in sales for over 20 years, working primarily within the document management and workflow industry. He has a technical background, and his expertise is selling complex technology solutions. John Challis Founder and CEO/CTO of Concept Searching is an experienced entrepreneur, having had success with several previous ventures involving the management of unstructured data. He is the originator of the company s compound term processing technology and is the driving force behind the product strategy.

3 Agenda Who we are What do we do and why you should be interested Google Web Search compared to Google Search Appliance End user tagging How do users search? Why do you need conceptclassifier for Google Search Appliance? Before the demonstration Compound term processing Taxonomy management Demo Auto-classification and taxonomy management Questions and Answers Concept Searching 2015

4 Company founded in 2002 Product launched in 2003 Focus on management of structured and unstructured information Profitable, debt free Technology Platform Delivered as a web service Automatic concept identification, content tagging, auto-classification, taxonomy management Only statistical vendor that can extract conceptual metadata 8 years KMWorld 100 Companies that Matter in Knowledge Management 8 years KMWorld Trend Setting Product Authority to Operate enterprise wide US Air Force, NETCON US Army, and Canadian SLSA Locations: US, UK, and South Africa Client base: Fortune 500/1000 organizations Microsoft Gold Certification in Application Development, Microsoft Business-Critical SharePoint program partner Smart Content Framework for Information Governance comprising conceptclassifier for SharePoint and conceptclassifier for Office 365 Concept Searching Technology Platform and conceptclassifier Platform Add on concepttaxonomyworkflow and conceptclassifier for OneDrive for Business The Global Leader in Managed Metadata Solutions

5 If we could just use Google Search! Google used to search the Internet is not the same as the Google on the Intranet! Internet (World Wide Web) Search for a Holiday in Jamaica: Lots of relevant content Search for a Specific Microwave Oven: Lots of relevant content Intranet (internal company documents) Search for a Specific Policy: The Specific Policy is found it has a unique number! Search for past project notes: You get lots of project notes, somewhere in the long list is the one specific document you want. But as you know the specific document you need, you are not happy with the results. Searching for Holiday in Jamaica is very different from looking for a specific document that you know exists! Concept Searching 2015

6 Search Improvement A Google Search Appliance text search on its own will not give you the best search results, because none of the advanced ranking algorithms available when searching the Web can be used In many cases, a simple text search will cause Google Search Appliance to return too many documents with poor ranking, making it very difficult to locate the most relevant documents Documents should contain good quality metadata to describe what they are about Metadata can then be used to quickly focus the search results via the faceted search refiners

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9 The Challenge of Metadata A manual metadata approach will fail 95%+ of the time Issue Organizational Impact Inconsistent Subjective Cumbersome expensive Malicious compliance No perceived value for end user What you have seen Less than 50% of content is correctly indexed, meta-tagged or efficiently searchable rendering it unusable to the organization (IDC) Highly trained information specialists will agree on meta tags between 33%-50% of the time (C. Cleverdon) 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) End users select first value in list (Perspectives on Metadata, Sarah Courier) 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 Metadata will continue to be a problem due to inconsistent human behavior

10 The Problem of Manual Metadata Tagging What does it impact? Search, records management, data security/privacy, migration, ediscovery, legal and FOIA, content management, collaboration, business social applications, text analytics Root cause of business failures Less than 50% of content is correctly indexed, meta tagged, or efficiently searchable 85% of corporate data is unstructured (IDC) and growing End users still spend 2.5 hours per day searching Increases risk of a data breach or non-compliance exposure Growing ediscovery, litigation support, FOIA requirements and costs 67% of data loss in records management is due to end user error (Prism International) Corporations, specifically Financial Officers, will be held personally responsible for the security, privacy, reliability, and compliance of information assets Most organizations that attempt text analytics fail (Alta Plana)

11 How Do Your End Users Search? Enterprise searchers spend longer looking because they know it is there somewhere IDG: 2.5 hours/week/employee Ford: 5-15% of time on non-productive information related activities Coping mechanisms for poor enterprise search Recreate Use older assets Interrupt a co-worker Start without information needed Don t start Difference between Human and Machine Retrieval How do your end users search? 56% of searchers constructed poor queries 33% had difficulty navigating/orienting search results 36% did not go beyond the first three search results (not pages) 91% did not go beyond the first page of search results 55% selected irrelevant results one or more times The search engine must accommodate the different ways that users search and be able to discern their intent Concept Searching 2015

12 Automatic metadata generation Industry leading technology Range of proven platforms The Solution conceptclassifier for Google Search Appliance SharePoint 2007/2010/2013/Online File shares Web sites Documentum Hummingbird SQL databases And now available for Google Search Appliance Concept Searching 2015

13 Unique Approach Compound Term Processing Concept Searching provides Automatic Concept Term Extraction Triple Baseball Three Heart Organ Center Bypass Highway Avoid Remains unique in the industry Ability to identify and correctly weight multi-word concepts in unstructured text 13 Concept Searching 2015

14 Taxonomy Management concepttaxonomymanager Concept Searching 2015

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20 Resource Links conceptclassifier for Google Search Appliance Product Page concepttaxonomymanager Demonstration Compound Term Processing White Paper

21 Demo Concept Searching 2015

22 Questions? Concept Searching 2015

23 Why use conceptclassifier with Google Search Appliance? Simplified and Effective Search Auto-classification of content by concepts ROI Elimination of manual tagging delivers accuracy, consistency, and quality Improved navigation in Google Search Appliance, by clustering of search results employing faceted search Reduced effort needed by end users, resulting in time and cost savings

24 Thank You Paul Billingham Sales Director Europe Concept Searching John Challis Founder and CEO/CTO Concept Searching Concept Searching 2015