Portal to Data Discovery Find and Understand Your Information Magnify Search 1.

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Presentation transcript:

Portal to Data Discovery Find and Understand Your Information Magnify Search 1

Magnify Introduction 2

WebFOCUS Magnify  Goal: Business Intelligence for the Masses  Challenges  Familiar – no training!  Flexible – need to be able to ask next question  In the Flow  Solutions:  Active Technologies  Guided Self Service  WebFOCUS Magnify! 3

WebFOCUS Magnify  WebFOCUS Magnify  Familiar – Google like interface  Flexible  Sortable Results  Drillable to whatever detail desired  HTML5 Graphical results  Secure  In the Flow  Everybody uses search engines – why not use as BI interface? 4

Single Access Point to all Applications and Databases 5 Single Point of Information Access IT Business Analysts Anyone Multiple Application Interfaces Mainframe Servers Reports DocumentsImagesMulti Media Forms Databases

How Does Magnify Work? 6 The Magnify Process Capture content in real time as information is added or edited. Catalog content with a search engine index using tags to categorize, secure, rank and present results stored. Cost effective and highly scalable solution leveraging open source Lucene. Business intelligence reports presenting various ways to view found content. Clustered indexes keep search within one application as more information becomes available. The Magnify Process Capture content in real time as information is added or edited. Catalog content with a search engine index using tags to categorize, secure, rank and present results stored. Cost effective and highly scalable solution leveraging open source Lucene. Business intelligence reports presenting various ways to view found content. Clustered indexes keep search within one application as more information becomes available. Search Request Magnify Results Report Request WF Report Enterprise Content Transform Content into Searchable Information

Leverage the Power of Search & Business Intelligence 7 Information Inquiries (1)Search for customer account (2)Search for vendor transaction (3)Get account balances (4)Get all transactions exceeding $ X.xx Leverage the strengths of each technology Leverage hardware and software Simplify development, maintenance & deployment Offer better and more complete user experience

Search Interface Overview 8

Magnify: Interface Overview 9

Magnify: Search Overview  Search Syntax  Case In-Sensitive  Double Quote multiple words  Logical Expressions  Eg. ("music teachers" OR (MP3 AND VHS)) NOT "New York“  Wild Card Character (*)  ~ for Similar word results  Eg. Blu~ returns Blu Ray, Blue etc…  + in front of words that must display in result  Eg. +Blu George - returns results always containing “Blu” and results that may/may not contain George 10

Demo: Search Interface Overview 11

Magnify: Making Enterprise Data Searchable 12

Magnify: Getting Started  Steps to setup search  Create WebFOCUS procedure with following column-names:  C#_column – Category  S#_column – Detail Returned for each result  SearchTitle – Returned Result  TITLEURL – Drill from Search title  Link_Display_Name# - Drillable text under search result  Link_URL# - Drill URL from Display Name  MagnifyID & WF_INDEX_UNIQUE_KEY – Unique record keys  ENGINE MAGNIFY settings – system settings for Magnify (can be included)  ON TABLE HOLD FORMAT MAGNIFY AS SEARCHNAME 13

Magnify: Quick Feed  Challenge  Building Search Based Applications (SBA) required specialized skills  Not many people have this skill  Realization: Building Search Based Applications is no different than building WebFOCUS reports  Magnify category fields equal BY fields  Searchable content equal PRINT fields  Search result links equal DEFINE fields with Drill Downs  New Feature: FORMAT MAGNIFY for quick feeds  Create a report in Developer Studio  Change format to Magnify ….. AND YOU ARE DONE! 14

Demo: Transform Raw Data Into Search Content 15

Magnify Examples 16

Call Center Account Lookup 17

Law Enforcement Analytics 18

Root Cause Analysis and Reporting 19

Geographical Intelligent Search 20

eCommerce Search 21

Magnify Latest Enhancements 22

Sentiment Analysis: Score s, documents, database records etc., to identify negative/positive messages to facilitate churn reduction/upsell 23

The Cases for Sentiment Analysis  Conventional methods of gauging customer sentiment, such as surveys and focus groups, provide neither real time nor customer level information.  Hard to take immediate action on them  Sentiment Analysis: Translates expressed emotions into hard data  Monitor blogs, news articles, online forums, social networks, etc. in real time  Pinpoint customer perceptions and trigger action:  Prevent customer attrition  Measuring customer experience  Improve brand perception  Monitor product adoption  In government – measuring the pulse of the public 24

Demo: Find Files & Searching with Sentiment 25

26 Magnify File Indexing How It Works  File Adapter Enhancements  Monitor file life cycle  Use FORMAT Magnify to keep search in sync with repository  Log file repository actions  Track any format type  Traverse all sub directories

Magnify Roadmap 27

Removing All Implementation Obstacles  Eliminated the complexity to develop search applications by introducing Magnify format:  We solved the skills and learning problem – any BI developer or SE can build a search application.  Index common file formats – PDF, Word, Excel, TXT, etc  Scalability  Index very large amounts of data in clustered indexes  Indexing any language via our partnership with Basis Technology  Basis Technology language analyzers are OEM-ed by practically every search vendor  Next initiative: Add Crawler  Next initiative: Filtered Navigation Enhancements 28

Magnify: BI Search Applications  New FORMAT Magnify in Application Studio allows BI developers to build BI search applications in the same manner as they build BI reports  New User Interface that incorporates the HTML5 charts into the category tree for better visualization of search results and easier data discovery  UI for format Magnify  Feed for SOLR: 95% of deployments use SOLR and the feeder will allow us to upgrade some of these applications with BI content  Advanced search features: date range, file type, and attribute based Objective: Make it easier for BI developers to create BI search apps. We are the first BI tool for building search apps x 29

Where Should You Start?  Do you have a current plan to put “Google”-like functionality on top of your organizations informational assets?  Do you have any text based data?  Support Cases/Call Center  Project Management Notes  Product/Part Catalog Information  Manifest or Shipping Information  Claims Data  Warranty Data  People Skill Data  Feedback/survey information  Social Media generated content  Do you have overly complex Guided Ad Hoc Screens?  Would there be value in adding Sentiment Analysis to your textual information? 30

Magnify Search 31

Thank You! 32