Method of business analysis

• US 20020194042A1
• Filed: 06/14/2002
• Published: 12/19/2002
• Est. Priority Date: 05/16/2000
• Status: Abandoned Application

• Current Assignee: Synergetic Engineering Pty Ltd.
• Original Assignee: Synergetic Engineering Pty Ltd.
• Inventors: Sands, Donald Alexander
• Application Number:
  US10/168,071
• Publication Number:
  US 20020194042A1
• Time in Patent Office: Days
• US Class Current: 705/7.39
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 90/00 Systems or methods specially adapted for administrative, commercial, financial, managerial or supervisory purposes, not involving significant data processing

Abstract

A method is taught for processing performance data in a data reporting system (100) having a plurality of business entities (600) and a report center (100) in communications with the plurality of business entities (600). The method includes transmitting by the plurality of business entities (600) to the report center (100) customer performance data indicative of the operation of the business entities (600) during a first day and processing of the customer performance data by the report center (100) to provide processed performance data. Availability of the processed performance data is provided to a select business entity (600) during a second day wherein the time difference between the first day and the second day is less than eleven days. The processed performance data includes processed occupancy data, processed average daily rate data and processed Rev PAR data. The method further includes determining price information in accordance with the processed performance data, pricing a product by selected business entity (600) in accordance with determined price information, and selling the product according to the pricing. The processed performance data can be requested by the selected business entity (600) prior to providing availability of the processed performance data. Data can be transmitted by way of a network data connection and an internet connection.

Claims

1. A method of monitoring the performance of a business including the steps of:

determining key performance indicators for one or more sections of the business;

determining a target value for each key performance indicator;

measuring an actual value for each key performance indicator;

measuring a deviation between the target value and the actual value;

storing the actual value and deviation for each key performance indicator; and

summing the actual values and the deviations to provide a global measure of performance of the business in terms of a global actual value and a global deviation;

wherein a significant global deviation is tracked to one or more contributing key performance indicators to identify the section and/or sections primarily contributing to the global deviation.

2. The method of claim 1 wherein the step of determining a target value for each key performance indicator includes the steps of selecting an appropriate model, setting parameters for the model, and calculating a target value from an input value.

3. The method of claim 2 further including the step of simulating the impact of change on a performance of the business by changing controllable parameters of the model.

4. The method of claim 2 further including the step of simulating the impact of risk on a performance of the business by changing uncontrollable parameters of the model.

5. A method of monitoring the performance of a business including the steps of:

(a) determining input values X_i for each key performance indicator KPI_i for each of one or more sub-component of the business;

(b) converting each input value X_i to corresponding input values Y_i that are measured in units which are common for all key performance indicators KPI_i;

(c) measuring output values Z_i for each X_i;

(d) converting each output value Z_i to corresponding output values W_i that are measured in units which are common for all key performance indicators KPI_i;

(e) calculating a total input Y_i.tot for the business which is based on the Y_i values of each KPI and the relationship between each KPI of the business;

(f) calculating a total output W_i.tot for the business which is based on the W_i values of each KPI and the relationship between each KPI of the business; and

(g) comparing the total output W_i.tot to the total input Y_i.tot as a measure of performance of the business.

6. The method of claim 5 wherein W_i.tot is calculated as the summation of W_i for all i, and Y_i.tot is calculated as the summation of Y_i for all i.

7. The method of claim 5 further including the steps of:

(h) calculating budget output values B_i from the input values Y_i and a model for each KPI_i;

(i) calculating a deviation value D_i for each KPI_i which is the difference between the budget output value B_i and the actual output value W_i;

(j) calculating a total deviation value D_i.tot which is based on the D_i values of each KPI_i and the relationship between each KPI_i of the business;

(k) comparing the total deviation value D_i.tot to a threshold T as a measure of performance of the business.

8. The method of claim 5 further including the steps of:

(h) calculating budget output values B_i from the input values Y_i and a model for each KPI_i;

(l) calculating a total budget output value B_i.tot which is based on the B_i values of each KPI_i and the relationship between each KPI_i of the business;

(m) calculating a global deviation G between the total budget output value B_i.tot and the total output W_i.tot for the business; and

(n) comparing the global deviation value G to a threshold T as a measure of performance of the business.

9. The method of claim 8 wherein B_i tot is calculated as the summation of B_i for all i.

10. The method of claim 7, further including the steps of;

(o) mining the deviation values D_i when the total deviation value D_i.tot exceeds the threshold T to identify the KPI_i or KPI_i'"'"'s that contribute to the total deviation D_i.tot in a significant manner.

11. The method of claim 8 further including the steps of:

(p) mining the deviation values D_i when the global deviation G exceeds the threshold T to identify the KPI_i or KPI_i'"'"'s that contribute to the global deviation G in a significant manner.

12. The method of claim 7 or 8 further including the step of.

(q) quantifying improvement to the business by systematically changing controllable parameters P_c of the model for a KPI_i and relating a value of the change to P_c to the value associated with W_i.tot, and D_i.tot or G as a result of the change to P_c.

13. The method of claim 7 or 8 further including the step of:

(r) quantifying the risk a business is exposed to by systematically changing uncontrollable parameters P_u of the model for a KPI_i within an expected range and relating a value of the change to P_u to the value associated with the W_i.tot, D_i.tot or G as a result of the change to P_u.

15. The computer implemented method of claim 14 further including the steps of:

(h) calculating budget output values B_i from the input values Y_i and a model for each KPI_i;

(i) calculating a deviation value D_i for each KPI_i which is the difference between the budget output value B_i and the actual output value W_i;

(o) calculating a total deviation value D_i.tot which is based on the D_i values of each KPI and the relationship between each KPI_i of the business;

(k) comparing the total deviation value D_i.tot to a threshold T as a measure of performance of the business; and

(l) displaying on a display means the values D_i.tot, T, Y_i.tot and W_i.tot.

16. The computer implemented method of claim 14 further including the steps of:

(h) calculating budget output values B_i from the input values Y_i and a model for each KPI_i;

(m) calculating a total budget output value B_i.tot which is based on the B_i values of each KPI_i and the relationship between each KPI_i of the business;

(n) calculating a global deviation G between the total budget output value B_i.tot and the total output W_i.tot for the business;

(o) comparing the global deviation value G to a threshold T as a measure of performance of the business; and

(p) displaying on a display means the values G, T, B_i.tot, W_i.tot, and Y_i.tot.

17. The method of claim 15 further including the steps of:

(q) mining the deviation values D_i when the total deviation value D_i.tot exceeds the threshold T to identify the KPI_i or KPI_i'"'"'s that contribute to the total deviation D_i.tot in a significant manner.

18. The method of claim 16 further including the steps of:

(r) mining the deviation values D_i when the global deviation G exceeds the threshold T to identify the KPI_i or KPli'"'"'s that contribute to the global deviation G in a significant manner.

19. The computer implemented method of claim 15 or 16 further including the step of:

(s) quantifying improvement to the business by systematically changing controllable parameters P_c of the model for a KPI_i and relating a value of the change to P_c to the value associated with W_i.tot and D_i.tot or G as a result of the change to P_c.

20. The computer implemented method of claim 15 or 16 further including the step of:

(t) quantifying the risk a business is exposed to by systematically changing uncontrollable parameters P^u of the model for a KPI_i within an expected range and relating a value of the change to P_u to the value associated with the W_i.tot, D_i.tot or G as a result of the change to P_u.

14. A computer implemented method of monitoring the performance of a business including the steps of:

(a) recording input values X_i for each key performance indicator KPI_i for each of one or more sub-components of the business;

(b) converting each input value X_i to corresponding input values Y_i that are measured in units which are common for all key performance indicators KPI_i;

(c) recording output values Z_i for each X_i;

(d) converting each output value Z to corresponding output values W_i that are measured in units which are common for all key performance indicators KPI_i;

(e) calculating a total input Y_i.tot for the business which is based on the Y_i values of each KPI_i and the relationship between each KPI_i of the business;

(f) calculating a total output W_i.tot for the business which is based on the W_i values of each KPI_i and the relationship between each KPI_i of the business; and

(g) comparing the total output W_i.tot to the total input Y₁.tot as a measure of performance of the business.