System and method for improving outcomes in enterprise level processes

• US 8,660,983 B2
• Filed: 10/29/2010
• Issued: 02/25/2014
• Est. Priority Date: 12/04/2009
• Status: Active Grant

• Current Assignee: Genpact USA, Inc. (Genpact Limited)
• Original Assignee: Genpact
• Inventors: Chandra, Ruchin, Aggarwal, Apoorva, Singh, Parul Ranvir, Brar, Guni, Aggarwal, Amit
• Primary Examiner(s): PYO, MONICA M
• Application Number:
  US12/915,568
• Publication Number:
  US 20110238616A1
• Time in Patent Office: 1,215 Days
• Field of Search: 707/602, 707/999.005, 707/770
• US Class Current: 707/602
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A method and system for using a data warehouse to improve results of enterprise level processes are provided. The data warehouse typically includes industry-wide empirical data relating to corresponding operational practices, metrics, and outcomes. The method focuses on actual process results by taking a holistic, end-to-end view of the process in conjunction with using the data in the data warehouse to enable effective process improvements.

Claims

1. A system for improving a first result of a first target process, the system comprising:

a computer server;

a data warehouse containing a plurality of databases, the data warehouse being accessible via the server; and

an interface in communication with the server,

wherein the plurality of databases includes at least (i) a first database that contains industry-wide empirical data relating to a first performance measure relating to the first target process, (ii) a second database that contains industry-wide empirical data relating to a first operational subprocess performed as a part of the first target process, and (iii) a third database that contains industry-wide empirical data relating to the first result of the first target process, wherein the third database includes empirical data corresponding to results of processes that substantially correspond to the first target process and are executed by one or more of a plurality of business entities; and

wherein, when a user has identified and collected (i) benchmark data relating to the first performance measure and (ii) metric data relating to the first operational subprocess and (iii) result data relating to the first result, the interface is configured to enable the user to extract the industry-wide empirical data from any of the plurality of databases, thereby enabling the user to compare the extracted industry-wide empirical data to the identified and collected (i) benchmark data, (ii) metric data, and (iii) result data; and

to use a result of the comparing to determine a strategy for improving the first result of the first target process.

2. The system of claim 1, wherein the first database includes empirical data corresponding to performance measures relating to processes that substantially correspond to the first target process and are executed by one or more of a plurality of business entities.

3. The system of claim 1, wherein the second database includes empirical data corresponding to metrics relating to subprocesses that substantially correspond to the at least one operational subprocesses and are executed by one or more of a plurality of business entities.

4. The system of claim 1, wherein the first performance measure is selected from the group consisting of an average cost of executing an operational subprocess, a best-in-class cost of executing the operational subprocess, an average time spent in executing the operational subprocess, a best-in-class time spent in executing the operational subprocess, and an average invoice amount paid to a supplier or subcontractor.

5. The system of claim 1, wherein the first operational subprocess is selected from the group consisting of a process executed by a supplier or subcontractor, a report generation, a procurement of materials, and a payment process.

6. The system of claim 1, wherein the first result is selected from the group consisting of an average cost of executing the first process, an average profit realized from executing the first process, an average time spent in executing the first process, and a rate of successful completion of the first process.

7. A method of using a data warehouse to improve a first result of a first target process, the method comprising the steps of:

providing the data warehouse with at least (i) a first database storing benchmark data comprising empirical data from a plurality of prior processes, (ii) a second database storing metric data comprising empirical data from a plurality of prior processes, and (iii) a third database storing result data comprising empirical data from a plurality of prior processes;

identifying at least one performance measure relating to the first target process;

identifying at least one operational subprocess performed as a part of the first target process;

identifying the first result of the first target process;

collecting benchmark data relating to the at least one performance measure;

collecting metric data relating to the at least one operational subprocess;

collecting result data relating to the first result of the first process;

extracting from the data warehouse industry-wide empirical data that correspond to (i) process outcomes, (ii) key performance measures and drivers, and (iii) operating practices or subprocesses, of empirical processes that correspond to the target process;

comparing the collected benchmark data to the empirical benchmark data contained in the first database;

comparing the collected metric data to the empirical metric data contained in the second database;

comparing the collected result data to the empirical result data contained in the third database, the third database includes empirical data corresponding to results of processes that substantially correspond to the first target process and are executed by one or more of a plurality of business entities; and

using at least one result of any of the comparing steps to determine a strategy for improving the first result of the first target process.

8. The method of claim 7, wherein the first database includes empirical data corresponding to performance measures relating to processes that substantially correspond to the first target process and are executed by one or more of a plurality of business entities.

9. The method of claim 7, wherein the second database includes empirical data corresponding to metrics relating to subprocesses that substantially correspond to the at least one operational subprocesses of the first target process and are executed by one or more of a plurality of business entities.

10. The method of claim 7, wherein the at least one performance measure is selected from the group consisting of an average cost of executing an operational subprocess, an average time spent in executing an operational subprocess, and an average cost paid to a supplier or subcontractor.

11. The method of claim 7, wherein the at least one operational subprocess is selected from the group consisting of a process executed by a supplier or subcontractor, a report generation, a procurement of materials, and a payment process.

12. The method of claim 7, wherein the first result is selected from the group consisting of an average cost of executing the first process, an average profit realized from executing the first process, an average time spent in executing the first process, and a rate of successful completion of the first process.

13. A system for improving a first result of a first target process, the system comprising:

a computer server; and

a data warehouse containing a plurality of databases, wherein the plurality of database includes at least (i) a first database that contains industry-wide empirical data relating to a first performance measure relating to the first target process, (ii) a second database that contains industry-wide empirical data relating to a first operational subprocess performed as a part of the first target process, and (iii) a third database that contains industry-wide empirical data relating to the first result of the first target process, wherein the third database includes empirical data corresponding to results of processes that substantially correspond to the first target process and are executed by one or more of a plurality of business entities, the data warehouse being accessible via the server;

the computer server being configured for a user to (i) identify and collect result data corresponding to the target process outcome, (ii) identify and collect benchmark data corresponding to key performance measures and drivers corresponding to the first target process, and (iii) identify and collect metric data corresponding to operating practices or subprocesses corresponding to the first target process;

the computer server being configured for the user to extract from the data warehouse industry-wide empirical data that correspond to (i) process outcomes, (ii) key performance measures and drivers, and (iii) operating practices or subprocesses, of empirical processes that correspond to the target process;

the computer server being configured for the user to compare (i) the identified and collected data corresponding to the target process outcome with the extracted empirical processes outcomes, (ii) the identified and collected data corresponding to key performance measures and drivers corresponding to the target process with the extracted empirical processes key performance measures and drivers, and (iii) the identified and collected data corresponding to operating practices or subprocesses corresponding to the target process with the extracted empirical processes operating practices or subprocesses;

the computer server being configured for the user to use the comparison to improve the target process outcome.