System and method for employing the use of neural networks for the purpose of real-time business intelligence and automation control

• US 9,659,247 B2
• Filed: 08/27/2010
• Issued: 05/23/2017
• Est. Priority Date: 08/28/2009
• Status: Active Grant

• Current Assignee: UST Global (Singapore) Pte Ltd. (UST Global Incorporated)
• Original Assignee: Pneuron Corp. (UST Global Incorporated)
• Inventors: McGrath, Christie Patrick, Moss, Simon Byford, Elkins, Elizabeth Winters, Fountain, Thomas C., Curbelo, Raul Hugo
• Primary Examiner(s): Nguyen, Kira
• Application Number:
  US12/870,348
• Publication Number:
  US 20110055109A1
• Time in Patent Office: 2,461 Days
• Field of Search: 719311, 706 15, 705348
• CPC Class Codes: G06F 16/27 Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
• CPC Class Codes: G06N 3/02 Neural networks
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A system and integration infrastructure to provide a distributed matrix or neural network of connected real-time decision support modules designed to perform business intelligence evaluations in real time. The system and integration infrastructure provide a network of intelligence superimposed upon any company'"'"'s existing IT data centers, and cloud computing connections. The system is highly customizable to the unique business model deployed by the client company within the best practices of the client company'"'"'s industry. Whether or not the client company has integrated their diverse enterprise systems, the elements of the matrix are annealed to the various data sources, transaction logs and client software installations currently deployed. These matrix elements or neurons are designed to house critical operational data, determined by the operational model of the client company to be of critical importance. When combined with monitor neurons, they automatically assess the gap between the desired state of a critical element and the current condition in real time. Trigger conditions are pre-established, but modified by an executive controller in real-time, and the system is pre programmed to automatically respond in a prescribed manner to critical conditions having been met even when these conditions come from otherwise stove-piped enterprise applications.

Claims

1. A distributed processing system for business intelligence and automation control, comprising:

a monitor business intelligence object that

is hosted on a first computer that is communicatively coupled across an electronic communication network to a second computer,

is configured to monitor activity that occurs in a first business application software system hosted on the second computer,

includes a database that contains a set of enterprise application data, and

includes an enterprise application coupled to the database;

an application interception business intelligence object that is

hosted on the first computer;

configured to monitor activity directed to the first business application software system, and

configured to intercept information generated by a client-side application of a second business application software system hosted on the first computer; and

an executive control module that is configured to control creation and operation of both the monitor business intelligence object and the application interception business intelligence object;

wherein each of the monitor business intelligence object and the application interception business intelligence object includes

a set of message communication components configured to support communication with the executive control module,

a metadata-based rules matrix component that is configured to define parameters of execution of a primary function of an associated one of the monitor business object and the application interception business intelligence object as directed by the executive control module, and

a processing component.

2. The system of claim 1 wherein the set of message communication components further include

a message receiving component,

a message translation component,

a message construction component, and

a message transmission component.

3. The system of claim 1, wherein the executive control module further includes a logic for

directing monitoring and interacting of the monitor business intelligence object and the application interception business intelligence object with the first and second business application software systems, and

directing monitoring and interacting between monitor business intelligence object and the application interception business intelligence object.

4. The system of claim 1, wherein the monitor business intelligence object retrieves data from the database of the first business application software system.

5. The system of claim 4, wherein the executive control module further includes a modeling engine for simulating a system state based on the effect of interactions between the monitor business intelligence object and the application interception business intelligence object.

6. The system of claim 4, wherein the executive control module further includes a graphical user interface that enables a user to control said executive control module and supporting creation by the user of cross system interactions.

7. The system of claim 4, further comprising a heads up graphical user interface displaying actionable intelligence information delivered in a message based at least in part on

information contained in a message sent by the monitor business intelligence object and

information contained in a message sent by the application interception business intelligence object.

8. The system of claim 7, wherein

the application interception business intelligence object is configured to identify an activity as a match of an interception parameter set forth in the metadata-based rules matrix component of the application interception business intelligence object;

the application interception business intelligence object is configured to send a first message to the monitor business intelligence object with the direction to retrieve data from the database of the first business application software system upon the match of the interception parameter;

the monitor business intelligence object is configured to identify the retrieved data as a match of a monitor parameter set forth in the metadata based rules matrix component of the monitor business intelligence object; and

the monitor business intelligence object is configured to send a second message to the heads-up graphical user interface for display of a set of actionable intelligence information included within the second message upon the match of the monitor parameter.