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Method and System for Integrating Multiple Analytical Systems into Single Information Architecture

IP.com Disclosure Number: IPCOM000239533D
Publication Date: 2014-Nov-13
Document File: 2 page(s) / 57K

Publishing Venue

The IP.com Prior Art Database

Abstract

A method and system is disclosed for integrating multiple analytical systems into single information architecture.

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This is the abbreviated version, containing approximately 51% of the total text.

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Method and System for Integrating Multiple Analytical Systems into Single Information Architecture

Disclosed is a method and system for integrating multiple analytical systems into single information architecture. The method and system articulates and renders multiple analytical systems for presenting integrated information to users in the form of single information architecture. Integrated information architecture presented to the users is simply appended using analytical algorithms and visualizations that have access to multiple analytical systems.

In accordance with the method and system, steps in this process include, extracting data from a source system, loading the data into a staging area for processing where it is transformed, consuming the reporting system and finally displaying information architecture to end users.

Information architecture displayed to users augments or appends analytics systems into this architecture. Step 3.a indicates a series of black box algorithms that allow for semantic textual analytics use cases to be performed against the data. Thereafter, the black box systems produce an output that is stored in the database as the final result and then can be displayed as a part of access to end users. Subsequently, step 4.a denotes a series of analytics visualizations that are added during the display step that utilize the output of step 3.a. which illustrates a typical analytics use case that has been rendered as a part of the analytics system.

As shown in Figure 1, diagnostic heat map visualization is created for representing inadequacy of the structured data based on "symptom" or category. Over 50% of all of the data (2.6 million records) fall into two categories such as, access issues and application issues...