Method and system for generating a business intelligence system based on individual life cycles within a business process

• US 20070021992A1
• Filed: 07/19/2005
• Published: 01/25/2007
• Est. Priority Date: 07/19/2005
• Status: Abandoned Application

• Current Assignee: Srinivas Konakalla
• Original Assignee: Srinivas Konakalla
• Inventors: Konakalla, Srinivas
• Application Number:
  US11/185,074
• Publication Number:
  US 20070021992A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

The present invention relates to a method and system for generating a comprehensive Business Intelligence system based on a lifecycle approach that comprises of the steps of: modeling, building, generating and analyzing in order to analyze a business process end to end. In accordance with the present invention, modeling comprises the steps of defining a business process life cycle and its metrics and splitting each Business process lifecycle into several events or stages. This step also includes facilitating gathering of business requirements and developing a project plan based on them. The step of building comprises building the Business Intelligence system by interconnecting events or stages of BP lifecycles within the business process. The step of generating comprises the step of generating the Business Intelligence system in one shot by displaying the interconnectivity of various Business process lifecycles within the business process. The step of analyzing provides an easy to use web interlace to analyze business process life cycles based on the metrics and dimensions defined by business users.

Claims

1. A method of generating a Business Intelligence system in one shot comprising the steps of:

modeling a business process by defining at least one business process lifecycle by splitting said business process lifecycle into several events and by defining its metrics and dimensions;

building the business intelligence system by interconnecting business process life cycles within the business process;

generating the business intelligence system in one shot by showing the interconnectivity of various business process life cycles within the business process; and

analyzing entire business processes based on the Business Intelligence system generated.

2. The method of claim 1, wherein the step of modeling further comprises:

obtaining an understanding of the business process requirements;

identifying individual business process lifecycles within the business process;

adding stages and sub stages in life cycles by capturing information related to each stage and sub stage; and

analyzing the information captured.

3. The method of claim 2, wherein the step of obtaining an understanding of the business process requirements further comprises defining a project, defining goals of the project, and defining project plan.

4. The method of claim 2, wherein the information captured is in the form of buzzwords, subject areas and other pertinent information related to the business process.

5. The method of claim 4, wherein the information captured may be information such as cycle times, backlog, turn around time by suppliers, and age of shipment.

6. The method of claim 2, wherein the step of analyzing further comprises:

defining dimensions and facts to be measured and type of measurement to be undertaken.

7. The method of claim 1, wherein the step of building the Business Intelligence system further comprises the steps of:

building a data warehouse to store data;

analyzing the business process requirements as obtained from the step of modeling;

identifying sources of various data inputs;

preparing data for loading into data warehouse;

using OLAP tools to generate Business information from the data; and

using web service applications to load the business intelligence system and distribute data to the other within an enterprise.

8. The method of claim 1, wherein the step of generating further comprises the steps of:

entering variables like database name, web server name; and

generating the business intelligence system in one shot by showing the interconnectivity of various business process life cycles within the business process.

9. The method of claim 1, wherein the step of analyzing further comprising the steps of:

providing access to data to users;

publishing scorecards for each individual Business Process lifecycle that rate the business performance from year to year; and

analyzing each individual lifecycle for progress and comparing and cross checking data for expected and achieved results.

entering input of desired corrective actions desired into the Business Intelligence system and evolving the Business Intelligence system.

10. The method of claim 7, wherein the step of building the data warehouse further comprises the steps of:

defining measures based on the metrics defined;

defining measures into base measures and derived measures;

defining dimensions based on “

how to measure”

;

forming a matrix of the measures and dimensions;

creating groups of base measures and derived measures that have the same dimension;

creating a matrix of dimensions and facts;

creating a matrix of dimensions and cubes;

defining attributes and unique key for the dimensions;

defining additional measures and facts attributed to the facts;

creating a data model schema;

organizing the schemas into subject areas and life cycles;

defining the data model for OLAP;

organizing the OLAP schema into life cycles and stages;

creating a staging area for the data warehouse;

identifying the source systems that contain the transaction data for the sources;

defining the mapping between the source systems to staging;

defining the mapping between data warehouse and OLAP;

defining web services so as to expose each life cycle and stage to load real time business process life cycle data into the Business Intelligence system.

11. A system for generation of a Business Intelligence system in one shot, said system comprising:

a modeler for modeling a business process by defining at least one business process lifecycle by splitting said business process lifecycle into several events and by defining its metrics and associated “

how to measures”

;

a builder for building the business intelligence system by interconnecting business process life cycles within the business process;

a generator for generating the business intelligence system in one shot by showing the interconnectivity of various business process life cycles within the business process; and

an analyzer for analyzing entire business processes based on the Business Intelligence system generated.

12. The system of claim 11, wherein the modeler comprises:

a project module for obtaining an understanding of the business process requirements and identifying lifecycles within the business process;

a Business Process module for identifying lifecycles within the business process and for splitting the business process into several events;

an information capture module for capturing data inputs; and

an analysis module for analyzing the information captured.

13. The system of claim 12, wherein the project module performs the steps of:

defining a project, defining goals of the project, and defining project plan.

14. The system of claim 12, wherein the information capture module captures information in the form of buzzwords, subject areas and other pertinent information related to the business process.

15. The system of claim 14, wherein the information captured may be information such as cycle times, backlog, turn around time by suppliers, and age of shipment.

16. The system of claim 11, wherein the analyzer performs the steps of:

defining dimensions and facts to be measured and type of measurement to be undertaken.

18. The system of claim 11, wherein the generator further comprises engines for:

entering variables like database name, web server name; and

generating the entire Business Intelligence system in one shot, said Business Intelligence system including various life cycle stages and their interrelationship to one another.

19. The system of claim 11, wherein the analyzer further comprises the steps of:

a dashboard module to provide end users with information or data relevant to there roles in the business process;

an analysis module that analyzes progress or regress of business applications;

a scorecard module that rates business performance from year to year;

a reference data module that displays data grid and edits dimensions and facts;

a meta data module that adds, edits, and displays business and technical metadata;

a reporting module that reports to users on their business standing;

an alert module that provides warning signs regarding potential loopholes and dangers; and

a configuration module to administer security options for the analyzer to work.

20. The system of claim 19, wherein the dashboard module assists users with collection of data from various sources and presentation of data collected.

21. The system of claim 19, wherein the scorecard module performs the steps of:

publishing scorecards for each individual Business Process lifecycle that rate the business performance from year to year.

22. The system of claim 11, wherein the modeler, builder, analyzer and generator comprise of modules and each module is also exposed as web services.

17. A method of step 11, wherein the Builder builds the Business Intelligence system and further comprises:

a model analyzer to analyze requirements of the business process as generated by the modeler;

a source module to identify the source of various data inputs;

a staging module for preparing data for loading into data warehouse;

a data warehouse module to store data;

an OLAP module to generate Business information from the data; and

web service applications module to distribute data from one application to the other.