Enterprise Economic Modeling

• US 20070067204A1
• Filed: 01/30/2006
• Published: 03/22/2007
• Est. Priority Date: 09/13/2005
• Status: Abandoned Application

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Brown, Scott, Mantegazza, Lorenzo, Crennan, Karen, Kobel, Kevin, March, Andrew
• Application Number:
  US11/275,810
• Publication Number:
  US 20070067204A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/063116 Schedule adjustment for a person or group
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/06315 Needs-based resource requirements planning or analysis
• CPC Class Codes: G06Q 10/06375 Prediction of business process outcome or impact based on a proposed change
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities

Abstract

Computer-implemented methods and systems are provided for predicting how business decisions will impact an enterprise. A group of models may be used to model aspects of an enterprise and business units over a multiyear period. Models relating to different business parameters may be linked so that it may be determined how business decisions that result in a change to an input to one model impact aspects of the enterprise that are not modeled by the model. An iterative process may be used to obtain optimal results.

Claims

1. A computer-implemented method of determining a target headcount for an enterprise having a plurality of business units, the method comprising:

(a) receiving target revenue for each of the business units;

(b) selecting a headcount model for each of the business units;

(c) receiving headcount model assumptions for the selected headcount models; and

(d) calculating, using a computer, a target headcount for the enterprise and each of the business units by applying the headcount model assumptions and target revenue to the selected headcount models.

2. The computer-implemented method of claim 1, wherein at least one headcount model includes a worker-attributed revenue headcount model that includes:

(i) isolating target worker-attributed revenue generated by workers in each of the business units;

(ii) determining a volume of work required to meet the target worker-attributed revenue; and

(iii) determining a target headcount needed to perform the volume of work.

3. The computer-implemented method of claim 2, wherein (iii) includes analyzing the volume of work and at least one productivity metric.

4. The computer-implemented method of claim 2, wherein (iii) includes determining a target workforce mix.

5. The computer-implemented method of claim 1, further including

(e) calculating a predicted margin for each of the business units.

6. The computer-implemented method of claim 5, further including:

(f) calculating a predicted margin for the enterprise.

7. The computer-implemented method of claim 6, further including

(g) adjusting one or more of the headcount model assumptions and target revenue to obtain a target margin for the enterprise.

8. The computer-implemented method of claim 1, further including;

(e) receiving modified headcount model assumptions for at least one of the selected headcount models; and

(f) calculating, using a computer, a target headcount for the enterprise and each of the business units by applying the headcount model assumptions, the modified headcount model assumptions and target revenue to the selected head count models.

9. The computer-implemented method of claim 8, further including:

(g) generating a report that identifies how the modified headcount model assumptions impacted the target headcount.

10. The computer-implemented method of claim 1, wherein at least one headcount model includes an outsourcing headcount model that includes:

(i) receiving contract revenue data for contracts currently performed by a business unit;

(ii) receiving contract revenue data for contracts recently entered into by the business unit; and

(iii) determining speculative contract revenue level required to meet the target revenue of the business unit.

11. The computer-implemented method of claim 10, wherein the outsourcing headcount model further includes:

(iv) determining a volume of work required to meet the target revenue of the business unit; and

(v) determining a target headcount needed to perform the volume of work.

12. The computer-implemented method of claim 10, further including:

(iv) calculating a predicted margin for the business unit.

13. The computer-implemented method of claim 12, wherein the expected margin resulting from contracts currently performed by a business unit increases over time.

14. The computer-implemented method of claim 10, further including calculating a revenue flow report.

15. The computer-implemented method of claim 10, further including creating a margin profile for each type of contract.

16. The computer-implemented method of claim 15, wherein the expected margins resulting from contracts currently performed by a business unit increase over time.

17. A computer-implemented method of determining the impact of an enterprise equity program on shareholders, the method comprising:

(a) receiving a target headcount;

(b) selecting an equity model that models the equity program;

(c) receiving equity model assumptions for the selected equity model; and

(d) calculating, using a computer, at least one parameter that reflects the impact of the equity program on shareholders by applying the equity model assumptions and target headcount to the selected equity model.

18. The computer-implemented system of claim 17, wherein the at least one parameter includes a number of restricted stock units delivered to employees within a predetermined time period.

19. The computer-implemented system of claim 17, wherein the at least one parameter includes a number of stock options delivered to employees within a predetermined time period.

20. The computer-implemented system of claim 17, wherein the at least one parameter includes a number of ESPP (Employee Share Purchase Plan) shares purchased by employees within a predetermined time period.

21. The computer-implemented method of claim 17, wherein (d) comprises calculating a dilution impact of the equity program.

22. The computer-implemented method of claim 17, further including:

(e) calculating, using a computer, at least one parameter that reflects the impact of the equity program on the enterprise.

23. The computer-implemented method of claim 22, wherein (e) comprises calculating net income of the enterprise.

24. The computer-implemented method of claim 22, wherein (e) comprises calculating cash flow of the enterprise.

26. The computer-implemented method of claim 23, further including transmitting the prediction to the second computer device via the wide area network.

27. The computer-implemented method of claim 23, wherein the at least one model includes a model that estimates a target headcount.

28. The computer-implemented method of claim 23, wherein the at least one model includes a model that estimates the impact of an equity program on an enterprise.

25. A computer-implemented method of estimating how business decisions will impact an enterprise, the method comprising:

(a) receiving at a first computer device the identification of at least one business parameter to predict from a second computer device connected to the first computer device via a wide area network;

(b) selecting at least one model to produce the prediction of the at least one parameter;

(c) receiving assumptions used by the at least one model; and

(d) calculating the prediction of the at least one parameter by applying the assumptions to the at least one model.