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WebFOCUS Magnify: Search Based Applications Dr. Rado Kotorov Technical Director of Strategic Product Management.

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Presentation on theme: "WebFOCUS Magnify: Search Based Applications Dr. Rado Kotorov Technical Director of Strategic Product Management."— Presentation transcript:

1 WebFOCUS Magnify: Search Based Applications Dr. Rado Kotorov Technical Director of Strategic Product Management

2 Copyright 2007, Information Builders. Slide 2 Abstract: WebFOCUS Magnify allows you to create search based application that combine the intuitive Google like interface, the power of search to find data across applications, fields and data types, and the ability to retrieve any number of reports associated with any of the search results. No information or data remains out of reach with WebFOCUS Magnify. This presentation explains the search technology trends, the benefits of Magnify, IBI advantages over other enterprise search vendors, and also gives you examples of search based applications.

3 Copyright 2007, Information Builders. Slide 3 TREND: Technology Federation & Information Access Current Information Access Complexity

4 Copyright 2007, Information Builders. Slide 4 Simplified Information Access TREND: Technology Federation & Information Access

5 Copyright 2007, Information Builders. Slide 5 Mainframe TREND: Search Offers Single Access Point To All Sources Single Point of Information Access IT Business Analysts Anyone MainframeSpare MainframeSpareData Multiple Application Interfaces

6 Copyright 2007, Information Builders. Slide 6 TREND: Search Offers Ability to Access Mixed Content Unstructured Structured Mixed Content  Tagged Documents  Clobs/Memo Fields  Document/Workflow MS Search Priorities by Source:  Call Center Narrative37%  Email38%  Enterprise Content Management System34%  Field Service Note36%  Instant Message30%  Web 2.0 Sources47%  Risk Management Source: Aberdeen Research on of “The Convergence of Unstructured and Structured Information”

7 Copyright 2007, Information Builders. Slide 7 Search Based Applications (SBA)  Definition: Search based applications combine a Google like access to applications and data; state of the art capabilities to search across multiple sources, fields, and data types; guided navigation and interactions with the search results; and drill down capabilities to reports and BI tools.  Drivers for SBA: The key drivers are quick access to information in complex applications for field workers, e.g. police officers; requirements to search mixed content such as structured fields and text or memo fields in call centers, medical and law enforcement applications, field operations, etc.; reduce omissions of information, as in eDiscovery; reduce user training and maintenance of multiple application forms for information retrieval.

8 Copyright 2007, Information Builders. Slide 8 WebFOCUS Magnify: Business Benefits  Search Enable Any Source: Make any application or data source searchable with IBI application and data adapters  Search Across Multiple Sources: Provide single access point to all data sources and applications dispersed across your enterprise by federating all the data into a single index  Search for Anything within Applications and Data Sources: Search across any field and across any data types within the same source  Index Sources in Real Time: Capture incoming records and pass them in real time to the indexing engine to minimize using up system resources in operational and other mission critical applications.  Provided Assisted Navigation To Filter the Search Results: Use dynamically generated categories to narrow down the large search results sets to the most relevant hits  Display Search Results in Interactive Tables: Allow users to convert results to tabular view in order to sort, pivot, chart, or interact with the data in other ways to quickly understand the returned hits and make the most relevant selections.  Dynamically Retrieve Reports for All Indexed Record: Associate each search result with any number of reports at any level of aggregation in order to present a 100% complete, accurate and up to date view of the search result across any number of dimensions and systems.

9 Copyright 2007, Information Builders. Slide 9 Our Know-How Compared to Other Search Vendors Records/TransactionsParametersReports Over 300 Application And Data Stores Over 300 File Formats Web Search Document Files ImagesMulti Media Enterprise BI Search Reports Servers Transactional Indexing Crawling IBI Differentiators Database Mainframe BI CompaniesSearch Companies Patents Pending

10 Copyright 2007, Information Builders. Slide 10 Federated Indexing vs. Federated Search Custom Logic to Send Search Query to Multiple Sources Custom Logic to Aggregate Search Query Results Search Term Data MainframeSpare

11 Copyright 2007, Information Builders. Slide 11 iWay Service Manager How we Do IT: Overview Capture incoming transactions Enrich transaction with meta data Transform and feed records into Google Search Request Magnify Results Report Request WF Report Assisted Navigation Tabular View Operational Data Store

12 Sample Applications

13 Copyright 2007, Information Builders. Slide 13 Law Enforcement Application With Magnify The KPI Page

14 Copyright 2007, Information Builders. Slide 14 The Search Page Law Enforcement Application With Magnify The goal of this application is to provide officers with a simple way to find information. For example, if a hit-and-run accident occurred, a trooper may enter a partial plate number, a car description or other information, and be able to find related information in any of the police systems.

15 Copyright 2007, Information Builders. Slide 15 Law Enforcement Application With Magnify The search results page. Search results are displayed on the right side. The guided navigation tree is on the left side. The search term in this example is a partial plate number. The search results are retrieved from four different systems – criminal cases, vehicle registrations, court records, and citations.

16 Copyright 2007, Information Builders. Slide 16 Law Enforcement Application With Magnify Tabular view of search results The tabular view offers a convenient way to interact with the results and find some correlations.

17 Copyright 2007, Information Builders. Slide 17 Law Enforcement Application With Magnify A report generated from a search result. The report can come from multiple sources. Drilldowns provide access to more information.

18 Copyright 2007, Information Builders. Slide 18 Help Desk Search Application The goal of this application is to provide customer support employees with a simple way to access customer records and abilities to search across fields and within text, notes, memos. The Search Page

19 Copyright 2007, Information Builders. Slide 19 Help Desk Search Application The Search Results Page Notice that a search for “Verizon” has returned results which have other companies listed in the COMPANY field. A regular query would have returned only records that have “Verizion” in the COMPANY field.

20 Copyright 2007, Information Builders. Slide 20 Help Desk Search Application A Report on the Actual Record “Verizon” is found in a summary field. The summary field contains unstructured description of the case.

21 Copyright 2007, Information Builders. Slide 21 Help Desk Search Application A Report on the Actual Record “Verizon” is found in a the detailed notes about the case.

22 Copyright 2007, Information Builders. Slide 22 Help Desk Search Application The Search Results Page A user can run a summary report instead of a detailed report. Any number of reports can be associated with the search result

23 Copyright 2007, Information Builders. Slide 23 Help Desk Search Application The Summary Report Associated With the Search Record The summary report aggregates all cases for the company associated with the search result.

24 Appendix: Indexing Process Technical Overview

25 Copyright 2007, Information Builders. Slide 25 Real Time Records Capturing and Indexing Send record to GSA Transaction listener captures incoming records Enrich records with meta data Transform record to indexable HTML

26 Copyright 2007, Information Builders. Slide 26 Data Transformation and Categorization

27 Copyright 2007, Information Builders. Slide 27 Data Transformation and Categorization

28 Thank you!


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