PNEURON DISTRIBUTED ANALYTICS

• US 20130166490A1
• Filed: 12/13/2012
• Published: 06/27/2013
• Est. Priority Date: 08/27/2010
• Status: Active Grant

• Current Assignee: UST Global (Singapore) Pte Ltd. (UST Global Incorporated)
• Original Assignee: Pneuron Corp. (UST Global Incorporated)
• Inventors: Elkins, Elizabeth Winters, Bachelor, Douglas Wiley, Moss, Simon Byford
• Granted Patent: US 9,020,868 B2
• Time in Patent Office: Days
• US Class Current: 706/47
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition

Abstract

A method and system for the integration of disparate data stored within an Information Technology infrastructure of a company is provided. The system and method enables holistic, real time control of data discovery, retrieval and analysis. The system combines data mining, retrieval and analytics at the source of the data, thereby solving traditional problems with disparate and distributed data, systems, business processes and analytics across an organization. The system enables a user to configure and target data, then apply rules, workflows and analytics from one central source. This process is accomplished by distributing functions in the form of software pneurons against the existing infrastructure for maximum processing while preserving a robust and extendable suite of definitions. The system uses the existing application, network and hardware assets and enables connection to the native data, maps only the data fields that need to be mapped to carry out the desired analysis, runs the analysis and then returns the data to a central location to be assembled, analyzed, organized and/or reported.

Claims

1. A distributed analytics method utilizing an automated, computerized system for creating, editing, modifying and deploying one or more computer software pneurons for seamless deployment to one or more existing system in order to acquire, review and analyze targeted information from said one or more existing system, the distributed analytics method comprising the acts of:

deploying one or more data acquisition pneurons to a target system including data to be reviewed and acquired, said data acquisition pneuron configured for acquiring data using a selective targeted approach, wherein the data acquisition is organized by data type, data location, including database, application programming interface or service interaction, and file;

deploying one or more data interrogating pneurons to said acquired data, for analyzing the acquired data on said one or more existing system, wherein said one or more interrogation pneurons are configured to operate and use existing hardware where the acquired data is located;

deploying one or more meta-data pneurons, said one or more meta-data pneurons configured for creating, designing and implementing a meta-data dictionary, wherein the meta-data dictionary provides definition and processing characteristics for each acquired data element;

deploying one or more analytical pneurons, said one or more analytical pneurons configured for running analysis and/or predictions on the acquired data at the source of the data, without moving the data from the source, said one or more analytical neurons configured for evaluating the acquired data in real time and for providing a user with generally immediate visualization of results;

deploying one or more predictive model pneurons, said one or more predictive model pneurons configured for applying changes to one or more of said data acquisition, data interrogating, metadata or analytical pneurons, in order to recast and evaluate or re-evaluate the same or different data; and

deploying one or more data storage pneurons, said one or more data storage pneurons configured for storing results and acquired data in a database, wherein the database can be exported and applied, thereby stimulating constant enterprise intelligence.

2. The method of claim 1, wherein said one or more data acquisition pneurons include one or more of a database pneuron, a service pneuron and a file pneuron.

3. The method of claim 1, wherein said one or more data interrogating pneurons includes one or more rules pneurons.

4. The method of claim 1, wherein said one or more data acquisition pneurons, said one or more data interrogating pneurons, said one or more metadata pneurons, said one or more analytical pneurons, said one or more predictive model pneurons and said one or more data storage neurons are prearranged into a predetermined pneuron network.