SYSTEM AND METHOD FOR APPLYING PREDICTIVE METRIC ANALYSIS FOR A BUSINESS MONITORING SUBSYSTEM

• US 20080167923A1
• Filed: 03/21/2008
• Published: 07/10/2008
• Est. Priority Date: 04/12/2006
• Status: Active Grant

• Current Assignee: Pawan Raghunath Chowdhary, Shubir Kapoor
• Original Assignee: Pawan Raghunath Chowdhary, Shubir Kapoor
• Inventors: Kapoor, Shubir, CHOWDHARY, Pawan Raghunath
• Granted Patent: US 8,108,235 B2
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06F 2216/03 Data mining
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Predictive metric analysis for business management is divided into build time, corresponding to the business owner view of the enterprise, and run time, corresponding to the information technology view of the enterprise. The build time consists of a predictive model and a monitoring model. These models go through transformation processes to the components of the run time. The run time components are a Metric Value Prediction Service (MVPS), which receives as input predictive model transformation and outputs predicted metric values, and a monitoring engine, which receives as input monitoring model transformation, the predicted metric values and business events from the business process. Various analytical engines can be plugged in to provide the predictive capabilities. Input is provided to a framework from various business systems which results in predicting the value of the metrics across the future time horizons.

Claims

1. A method for providing predictive modeling capabilities to allow intelligent business performance management comprising the steps of:

using a computer to generate a meta model consisting of business metrics organized as a hierarchy with each metric having the ability to be associated with time as a look-ahead dimension;

using a computer to transform the meta model to service interface definition and related artifacts;

using a computer to transform the meta model into performance warehouse meta-data schemas to allow persistence of historical data; and

using a computer to receive requests for metric predictions and to use analytical techniques to service the requests in real time.

2. The method of claim 1, wherein said meta model also comprises business metrics categorized within a predictive metric context to be used as input for predictive analysis.

3. The method of claim 2, wherein said meta model also comprises trigger conditions describing how and when said predictive analysis will be triggered.

4. A system for providing predictive modeling capabilities to allow intelligent business performance management comprising:

a computer generating a meta model consisting of business metrics organized as a hierarchy with each metric having the ability to be associated with time as a look-ahead dimension;

a computer transforming the meta model to service interface definition and related artifacts;

a computer transforming the meta model into performance warehouse meta-data schemas to allow persistence of historical data; and

a computer receiving requests for metric predictions and using analytical techniques to service the requests in real time.

5. The system of claim 4, wherein said meta model also comprises business metrics categorized within a predictive metric context to be used as input for predictive analysis.

6. The method of claim 5, wherein said meta model also comprises trigger conditions describing how and when said predictive analysis will be triggered.

7. A computer-readable medium for providing predictive modeling capabilities to allow intelligent business performance management, on which is provided:

instructions for using a computer to generate a meta model consisting of business metrics organized as a hierarchy with each metric having the ability to be associated with time as a look-ahead dimension;

instructions for using a computer to transform the meta model to service interface definition and related artifacts;

instructions for using a computer to transform the meta model into performance warehouse meta-data schemas to allow persistence of historical data; and

instructions for using a computer to receive requests for metric predictions and to use analytical techniques to service the requests in real time.

8. The computer-readable medium of claim 7, wherein said meta model also comprises business metrics categorized within a predictive metric context to be used as input for predictive analysis.

9. The computer-readable medium of claim 8, wherein said meta model also comprises trigger conditions describing how and when said predictive analysis will be triggered.