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Managing Corporate Information Assets with Enterprise Search & Retrieval
Version/Date: Apr’15
Presenter:
Name: Sanket Patel
Email: [email protected]
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Questions you have about Enterprise Search & Retrieval
How do I implement Enterprise Search & Retrieval for creating value from my
information?
Why spend money on advanced search when I am already using simple search
in my enterprise applications?
Is my critical information secured from unauthorized access in my search
implementation?
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• The practice of identifying and enabling specific content across the enterprise to be indexed, searched, and displayed to authorized users.
• ESR can be defined as the use of information retrieval technology for storing, tracking, retrieving, and accessing data within a corporate network.
• It enables the system to search both unstructured and structured data through search queries.
Source: AIIM.org
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Defining Enterprise Search & Retrieval
Enterprise Search
Enterprise Search & Retrieval (ESR)
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The Ideal Enterprise Search Solution
Faster Search & Retrieval Increased Productivity
Intelligent Crawling
Increased Sales
Indexing and Semantic Analysis
Compliance with IT Security
Requirements
Benefits
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– Basic form of search similar to Google
search
– Input - Search query and parameters
– Output - All instances of resources which has occurrences of search query
– Similar to parametric search with key
difference of allowing users to discover facets about a basic search result
– Users can use these facets as filters to narrow down the results
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Types of Enterprise Search
– Sometimes companies tap into knowledge
repositories that have their own search engine and separate indexing
– If you choose that your ESR systems not re-index again with new sources but rather simply trigger those sources and then return a common results set, this is federated search.
– Input - String of the search query
– Output - Show occurrence of the search string
Parametric Search
Full-text Search
Faceted Search
Federated Search
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Challenges in Enterprise Search and Retrieval
• Unauthorized access to sensitive information for users within or outside the company • Forrester’s Sep 2011 report on evaluation of 12 ESR vendors shows that security of
the system when interacting with people or servers or other repositories, is one of the criteria used for performance evaluation of the system.
• Large data sets need specialized tools, processes and approaches to derive valuable insights and action points
• Significant traction in the industry to capture opportunity and provide meaningful solutions for companies
• With the line between structured search and unstructured search beginning to blur, a key challenge is to provide functionalities within each system so that users get exactly what they are looking for
Challenges of Big Data
Single Search System
Security
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– A project from the Apache Software Foundation
– Open Source ESR tool which provides a REST-like interface to the range of capabilities expected from a search solution
– Apache projects are collaborative, consensus based, and offer an open software license
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Open Source Enterprise Search & Retrieval Solutions
Apache Lucene Solr
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Case Study
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• A leading Japanese semiconductor company with revenue over $5.5 billion and 15,000
employees worldwide
• Replace custom PHP based website with a digital marketing portal to increase online revenue contributions and improve collaboration with customer through personalized online account services
• Rich user experience with faster contextual search results and 360ᵒ parametric search based product view
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Case Study – Solr & MongoDB based Search Solution
Client Overview
Business Need
Key Features
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Case Study – Solr & MongoDB based Search Solution
Parametric Search Container
Mobile Site
Resources Images, Documents
Japanese English
Multilingual content for 7 -10 languages
Google Analytics
SITECATALYST
Plugin Stckcheck.com
Cross Reference
Search
Solr Search Engine
MS-SQL Server
Vendor Management
Portal
Custom Design Simulation Tool
Product Catalogs , attributes, FAQs, applications, SEO
keywords, titles Amazon Web
Services
Solr Repository
Site Search Container
MongoDB Scheduler
Solution Architecture
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• 200% increase in online revenue within 6 months
– Became # 4 most visited technology site in Japan (moved up from # 158 in 2012 to # 4)
– Reduced page load time from 20-30 seconds to 3-4 seconds
• 25% reduction in technology spend with cloud deployment
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Case Study – Solr & MongoDB based Search Solution
Client Benefits
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