A method and system for predicting the approval probability of unit team-building funds

Abstract

The present invention provides a method and system for predicting the approval probability of the unit team-building funds. The method includes obtaining the price cost score of the commodity supplier for the target team-building; obtaining the cycle score of the target team-building; calculating the team-building cycle expenditure score of the target team-building; obtaining the personal cost score of the target team-building; calculating the expenditure score of the target team-building; obtaining the total number of historical approvals of the team-building type to which the target team-building belongs; obtaining the number of historical approved approvals of the team-building type to which the target team-building belongs; obtaining the number of historical unapproved approvals of the team-building type to which the target team-building belongs; and calculating the probability of the approval of the target team-building funds according to the total number of historical approvals of the team-building type to which the target team-building belongs, the number of historical approved approvals, the number of historical unapproved approvals, and the expenditure score of the target team-building. The present invention solves the problem that the current team-building funds budget is not connected to the financial system, and the funds reimbursement of the financial system is simply managed according to the received funds, without realizing the budget management.

Description

Technical Field

[0001] The present invention belongs to the technical field of team building fund approval management, and particularly relates to a method and system for predicting the approval passing probability of unit team building funds. Background Art

[0002] Currently, the informatization construction of domestic team building fund management is mainly initiated by functional departments and relies on independent management systems for informatization management. First, in the stage of team building fund management, the team building person in charge fills out a reimbursement application and submits it to the administrator for review. Then, after the administrator's review is passed, the team building person in charge holds the vouchers to the finance department for reimbursement, and the finance department reviews whether it is passed. Finally, the accounts are manually verified and reviewed.

[0003] Although these systems have established budget and fund management modules, the management work is still the responsibility of functional departments and there is no data connection with the financial system of the finance department. In the process of system use, there are often situations where the data does not match the financial system. At this time, a large amount of manpower is required for manual comparison to handle the data synchronization problem between the two systems. The team building fund budget is not connected to the financial system, and the fund reimbursement of the financial system only manages according to the received funds simply and does not achieve budget management. Summary of the Invention

[0004] In view of the deficiencies in the prior art, the present invention provides a method and system for predicting the approval passing probability of unit team building funds.

[0005] In a first aspect, the present invention provides a method for predicting the approval passing probability of unit team building funds, including:

[0006] Obtaining the price and cost score of the commodity supplier of the target team building;

[0007] Obtaining the cycle score of the target team building;

[0008] Calculating the team building cycle expenditure score of the target team building according to the price and cost score of the commodity supplier of the target team building and the cycle score;

[0009] Obtaining the personal expense score of the target team building; the personal expense is the expense required per person on average in the target team building;

[0010] Calculating the expenditure score of the target team building according to the price and cost score of the commodity supplier of the target team building, the team building cycle expenditure score and the personal expense score;

[0011] Obtaining the total number of historical approvals of the team building type to which the target team building belongs;

[0012] Obtaining the number of historical approved approvals of the team building type to which the target team building belongs;

[0013] Obtain the number of times of historical unapproved approvals for the team-building type to which the target team-building belongs;

[0014] Calculate the probability of passing the approval of the target team-building funds based on the total number of historical approvals, the number of historical approvals passed, the number of historical unapproved approvals, and the expenditure score of the target team-building for the team-building type to which the target team-building belongs.

[0015] Furthermore, the prediction method further includes:

[0016] Obtain the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs;

[0017] Calculate the probability of passing the approval of the target team-building funds based on the total number of historical approvals, the number of historical approvals passed, the number of historical unapproved approvals, the expenditure score of the target team-building, and the satisfaction score of the commodity supplier for the team-building type to which the target team-building belongs.

[0018] Furthermore, the expenditure score of the team-building period of the target team-building is the sum of the price cost score of the commodity supplier of the target team-building, the expenditure score of the team-building period, and the personal cost score.

[0019] Furthermore, the calculation of the probability of passing the approval of the target team-building funds based on the total number of historical approvals, the number of historical approvals passed, the number of historical unapproved approvals, and the expenditure score of the target team-building includes:

[0020] Calculate the probability of passing the approval of the target team-building funds according to the following formula:

[0021]

[0022] Where ZY(D|+) is the probability of passing the approval of the target team-building funds; ZY(D) is the ratio of the number of times of historical approvals passed more than once to the total number of historical approvals for the team-building type to which the target team-building belongs; ZY(+|D) is the expenditure score of the target team-building; ZY(+|N) is the ratio of the number of historical unapproved approvals to the total number of historical approvals for the team-building type to which the target team-building belongs; ZY(N) is the probability of historical approval passing for the team-building type to which the target team-building belongs.

[0023] In a second aspect, the present invention provides a system for predicting the probability of passing the approval of unit team-building funds, including:

[0024] The first acquisition module is used to acquire the price cost score of the commodity supplier of the target team-building;

[0025] The second acquisition module is used to acquire the cycle score of the target team-building;

[0026] The first calculation module is used to calculate the expenditure score of the target team-building period according to the price cost score and cycle score of the commodity supplier of the target team-building.

[0027] The third acquisition module is used to acquire the personal cost score of the target team-building; the personal cost is the cost required for each person on average in the target team-building.

[0028] The second calculation module is used to calculate the expenditure score of the target team-building according to the price cost score, the expenditure score of the team-building period, and the personal cost score of the commodity supplier of the target team-building.

[0029] The fourth acquisition module is used to acquire the total number of historical approvals of the team-building type to which the target team-building belongs.

[0030] The fifth acquisition module is used to acquire the number of historical approvals passed of the team-building type to which the target team-building belongs.

[0031] The sixth acquisition module is used to acquire the number of historical approvals not passed of the team-building type to which the target team-building belongs.

[0032] The third calculation module is used to calculate the probability of the target team-building funds being approved according to the total number of historical approvals, the number of historical approvals passed, the number of historical approvals not passed, and the expenditure score of the target team-building of the team-building type to which the target team-building belongs.

[0033] Further, the prediction system further includes:

[0034] The seventh acquisition module is used to acquire the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs.

[0035] The fourth calculation module is used to calculate the probability of the target team-building funds being approved according to the total number of historical approvals, the number of historical approvals passed, the number of historical approvals not passed, the expenditure score of the target team-building, and the satisfaction score of the commodity supplier of the team-building type to which the target team-building belongs.

[0036] Further, the second calculation unit includes:

[0037] The first calculation unit is used to calculate the sum of the price cost score, the expenditure score of the team-building period, and the personal cost score of the commodity supplier of the target team-building.

[0038] Further, the third calculation module includes:

[0039] The second calculation unit is used to calculate the probability of the target team-building funds being approved according to the following formula:

[0040]

[0041] Among them, ZY(D|+) is the probability that the approval of the target team-building funds is passed; ZY(D) is the ratio of the number of times the historical approval of the team-building type to which the target team-building belongs has passed more than once to the total number of historical approvals of the team-building type to which the target team-building belongs; ZY(+|D) is the expenditure score of the target team-building; ZY(+|N) is the ratio of the number of times the historical approval of the team-building type to which the target team-building belongs has not passed to the total number of historical approvals of the team-building type to which the target team-building belongs; ZY(N) is the probability that the historical approval of the team-building type to which the target team-building belongs has passed.

[0042] The present invention provides a method and system for predicting the probability of passing the approval of unit team-building funds. The method includes obtaining the price cost score of the commodity supplier of the target team-building; obtaining the cycle score of the target team-building; calculating the team-building cycle expenditure score of the target team-building according to the price cost score and the cycle score of the commodity supplier of the target team-building; obtaining the personal cost score of the target team-building; the personal cost is the cost required per person on average in the target team-building; calculating the expenditure score of the target team-building according to the price cost score, the team-building cycle expenditure score and the personal cost score of the commodity supplier of the target team-building; obtaining the total number of historical approvals of the team-building type to which the target team-building belongs; obtaining the number of historical approvals passed of the team-building type to which the target team-building belongs; obtaining the number of historical approvals not passed of the team-building type to which the target team-building belongs; calculating the probability of passing the approval of the target team-building funds according to the total number of historical approvals, the number of historical approvals passed, the number of historical approvals not passed of the team-building type to which the target team-building belongs and the expenditure score of the target team-building. By adopting the above solution, the problem that the team-building funds budget in the prior art is not connected to the financial system, and the funds reimbursement in the financial system is simply managed according to the received funds and the budget management is not realized is solved. Brief Description of the Drawings

[0043] In order to more clearly illustrate the technical solutions of the present invention, the accompanying drawings required for the embodiments will be briefly introduced below. Obviously, for those of ordinary skill in the art, other accompanying drawings can also be obtained based on these drawings without creative efforts.

[0044] Figure 1 It is a schematic flow chart of a method for predicting the probability of passing the approval of unit team-building funds provided by an embodiment of the present invention;

[0045] Figure 2 It is a schematic structural diagram of a system for predicting the probability of passing the approval of unit team-building funds provided by an embodiment of the present invention. Detailed Embodiments

[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0047] As Figure 1 shown, the present invention provides a method for predicting the approval probability of the unit team-building funds, including:

[0048] Step S101, obtaining the price and cost score of the commodity supplier for the target team-building.

[0049] In this step, the price and cost score of the commodity supplier for the target team-building corresponds to three levels: high, medium, and low, and the scores are -2, -1, and 0, that is, the higher the cost, the lower the score.

[0050] Step S102, obtaining the cycle score of the target team-building.

[0051] In this step, the team-building cycle is in days, half a day is 0.5 points, one day is 1 point, and the minimum value is 0.5 points. If the team-building period includes holidays, the score for having holidays is 0 points, and the score for not having holidays is 1 point.

[0052] Step S103, calculating the team-building cycle expenditure score of the target team-building according to the price and cost score of the commodity supplier for the target team-building and the cycle score.

[0053] In this step, the team-building cycle expenditure score is the sum of the cycle score of the team-building, the price and cost score of the commodity supplier, and the holiday score.

[0054] Step S104, obtaining the personal cost score of the target team-building; the personal cost is the cost required per person on average in the target team-building.

[0055] In this step, for example, when it is 200 yuan per person or more, the personal cost score is -2; when it is 100 - 200 yuan per person, the personal cost score is -1; when it is 50 - 100 yuan per person, the personal cost score is 0; when it is less than 50 yuan per person, the personal cost score is 1.

[0056] Step S105, calculating the expenditure score of the target team-building according to the price and cost score of the commodity supplier for the target team-building, the team-building cycle expenditure score, and the personal cost score.

[0057] In this step, the team-building cycle expenditure score of the target team-building is the sum of the price and cost score of the commodity supplier for the target team-building, the team-building cycle expenditure score, and the personal cost score.

[0058] Step S106, obtain the total number of historical approvals for the team-building type to which the target team-building belongs.

[0059] Step S107, obtain the number of historical approvals passed for the team-building type to which the target team-building belongs.

[0060] Step S108, obtain the number of historical approvals not passed for the team-building type to which the target team-building belongs.

[0061] Step S109, calculate the probability of the target team-building funds approval passing according to the total number of historical approvals, the number of historical approvals passed, the number of historical approvals not passed for the team-building type to which the target team-building belongs, and the expenditure score of the target team-building.

[0062] Steps S106 - S109, calculate the probability of the target team-building funds approval passing according to the following formula:

[0063]

[0064] Among them, ZY(D|+) is the probability of the target team-building funds approval passing; ZY(D) is the ratio of the number of historical approvals passed more than once to the total number of historical approvals for the team-building type to which the target team-building belongs; ZY(+|D) is the expenditure score of the target team-building; ZY(+|N) is the ratio of the number of historical approvals not passed to the total number of historical approvals for the team-building type to which the target team-building belongs; ZY(N) is the probability of historical approvals passed for the team-building type to which the target team-building belongs.

[0065] The prediction method further includes: obtaining the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs; calculating the probability of the target team-building funds approval passing according to the total number of historical approvals, the number of historical approvals passed, the number of historical approvals not passed, the expenditure score of the target team-building, and the satisfaction score of the commodity supplier. For example, if the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs is 2, the probability of the target team-building funds approval passing increases by 2%; if the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs is -1, the probability of the target team-building funds approval passing decreases by 1%. That is to say, if the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs is N, the probability of the target team-building funds approval passing increases or decreases by N%.

[0066] As Figure 2 shown, the present invention further provides a system for predicting the probability of passing the approval of the unit team-building funds, including:

[0067] The first acquisition module 10 is used to acquire the price and cost score of the commodity supplier of the target team-building.

[0068] The second acquisition module 20 is configured to acquire the periodic score of the target team building.

[0069] The first calculation module 30 is configured to calculate the team building periodic expenditure score of the target team building according to the price cost score and the periodic score of the commodity supplier of the target team building.

[0070] The third acquisition module 40 is configured to acquire the personal cost score of the target team building; the personal cost is the cost required per person on average in the target team building.

[0071] The second calculation module 50 is configured to calculate the expenditure score of the target team building according to the price cost score, the team building periodic expenditure score and the personal cost score of the commodity supplier of the target team building.

[0072] The fourth acquisition module 60 is configured to acquire the total number of historical approvals of the team building type to which the target team building belongs.

[0073] The fifth acquisition module 70 is configured to acquire the number of historical approvals passed of the team building type to which the target team building belongs.

[0074] The sixth acquisition module 80 is configured to acquire the number of historical approvals not passed of the team building type to which the target team building belongs.

[0075] The third calculation module 90 is configured to calculate the probability of the target team building funds approval being passed according to the total number of historical approvals of the team building type to which the target team building belongs, the number of historical approvals passed, the number of historical approvals not passed, and the expenditure score of the target team building.

[0076] Further, the prediction system further includes:

[0077] The seventh acquisition module is configured to acquire the satisfaction score of the commodity supplier corresponding to the team building type to which the target team building belongs;

[0078] The fourth calculation module is configured to calculate the probability of the target team building funds approval being passed according to the total number of historical approvals of the team building type to which the target team building belongs, the number of historical approvals passed, the number of historical approvals not passed, the expenditure score of the target team building, and the satisfaction score of the commodity supplier.

[0079] Further, the second calculation unit includes:

[0080] The first calculation unit is configured to calculate the sum of the price cost score, the team building periodic expenditure score, and the personal cost score of the commodity supplier of the target team building.

[0081] Further, the third calculation module includes:

[0082] The second calculation unit is configured to calculate the probability of the target team building funds approval being passed according to the following formula:

[0083]

[0084] Among them, ZY(D|+) is the probability that the approval of the target team-building funds is passed; ZY(D) is the ratio of the number of times that the historical approvals of the team-building type to which the target team-building belongs exceed 1 time to the total number of historical approvals of the team-building type to which the target team-building belongs; ZY(+|D) is the expenditure score of the target team-building; ZY(+|N) is the ratio of the number of times that the historical approvals of the team-building type to which the target team-building belongs are not passed to the total number of historical approvals of the team-building type to which the target team-building belongs; ZY(N) is the probability that the historical approvals of the team-building type to which the target team-building belongs are passed.

[0085] For the same and similar parts among the various embodiments in this specification, reference can be made to each other. In particular, for the system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for the relevant parts, reference can be made to the descriptions in the method embodiments.

[0086] Those skilled in the art can clearly understand that the technologies in the embodiments of the present invention can be implemented by means of software plus a necessary general hardware platform. Based on such an understanding, the technical solutions in the embodiments of the present invention, in essence, or the parts that contribute to the prior art can be embodied in the form of a software product. This computer software product can be stored in a storage medium, such as ROM / RAM, magnetic disk, optical disc, etc., and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or some parts of the embodiments of the present invention.

[0087] The present invention has been described in detail above in combination with specific implementation manners and exemplary examples, but these descriptions should not be construed as limiting the present invention. Those skilled in the art understand that without departing from the spirit and scope of the present invention, various equivalent substitutions, modifications, or improvements can be made to the technical solutions of the present invention and their implementation manners, and these all fall within the scope of the present invention. The protection scope of the present invention is subject to the appended claims.

Claims

1. A method for predicting the approval probability of the unit team-building funds, characterized in that, it includes: Obtain the price and cost score of the commodity supplier for the target team-building; Obtain the cycle score of the target team-building; Calculate the team-building cycle expenditure score of the target team-building according to the price and cost score and the cycle score of the commodity supplier of the target team-building; Obtain the personal cost score of the target team-building; the personal cost is the cost required by each person on average in the target team-building; Calculate the expenditure score of the target team-building according to the price and cost score of the commodity supplier of the target team-building, the team-building cycle expenditure score and the personal cost score; Obtain the total number of historical approvals of the team-building type to which the target team-building belongs; Obtain the number of historical approvals passed of the team-building type to which the target team-building belongs; Obtain the number of historical approvals not passed of the team-building type to which the target team-building belongs; Calculate the probability of the target team-building funds approval passing according to the total number of historical approvals of the team-building type to which the target team-building belongs, the number of historical approvals passed, the number of historical approvals not passed and the expenditure score of the target team-building; The calculating the probability of the target team-building funds approval passing according to the total number of historical approvals of the team-building type to which the target team-building belongs, the number of historical approvals passed, the number of historical approvals not passed and the expenditure score of the target team-building includes: Calculate the probability of the target team-building funds approval passing according to the following formula: where ZY(D+) is the probability of the target team-building funds approval passing; ZY(D) is the ratio of the number of historical approvals passed more than once of the team-building type to which the target team-building belongs to the total number of historical approvals of the team-building type to which the target team-building belongs; ZY(+D) is the expenditure score of the target team-building; ZY(+N) is the ratio of the number of historical approvals not passed of the team-building type to which the target team-building belongs to the total number of historical approvals of the team-building type to which the target team-building belongs; ZY(N) is the probability of historical approvals passed of the team-building type to which the target team-building belongs.

2. The prediction method according to claim 1, characterized in that, it further includes: Obtain the satisfaction score of the commodity supplier corresponding to the team-building type to which the target team-building belongs; Calculate the probability of the target team-building funds approval passing according to the total number of historical approvals of the team-building type to which the target team-building belongs, the number of historical approvals passed, the number of historical approvals not passed, the expenditure score of the target team-building and the satisfaction score of the commodity supplier.

3. The prediction method according to claim 1, characterized in that, the team-building cycle expenditure score of the target team-building is the sum of the price and cost score of the commodity supplier of the target team-building, the team-building cycle expenditure score and the personal cost score.

4. A system for predicting the approval probability of the unit team-building funds, characterized in that, it includes: The first acquisition module is used to obtain the price and cost score of the commodity supplier of the target team-building; The second acquisition module is used to obtain the cycle score of the target team-building; The first calculation module is used to calculate the team-building cycle expenditure score of the target team-building according to the price and cost score and the cycle score of the commodity supplier of the target team-building; The third acquisition module is used to obtain the personal cost score of the target team-building; the personal cost is the cost required by each person on average in the target team-building; A second calculation module, configured to calculate an expenditure score of the target team building according to the price cost score, the team building period expenditure score, and the personal cost score of the commodity supplier of the target team building; A fourth acquisition module, configured to acquire the total number of historical approvals of the team building type to which the target team building belongs; A fifth acquisition module, configured to acquire the number of historical approvals passed of the team building type to which the target team building belongs; A sixth acquisition module, configured to acquire the number of historical approvals not passed of the team building type to which the target team building belongs; A third calculation module, configured to calculate the probability of the target team building funds approval being passed according to the total number of historical approvals of the team building type to which the target team building belongs, the number of historical approvals passed, the number of historical approvals not passed, and the expenditure score of the target team building; The third calculation module includes: A second calculation unit, configured to calculate the probability of the target team building funds approval being passed according to the following formula: Wherein, ZY(D+) is the probability of the target team building funds approval being passed; ZY(D) is the ratio of the number of times of more than 1 historical approvals passed of the team building type to which the target team building belongs to the total number of historical approvals of the team building type to which the target team building belongs; ZY(+D) is the expenditure score of the target team building; ZY(+N) is the ratio of the number of historical approvals not passed of the team building type to which the target team building belongs to the total number of historical approvals of the team building type to which the target team building belongs; ZY(N) is the probability of historical approvals passed of the team building type to which the target team building belongs.

5. The prediction system according to claim 4, wherein, it further includes: A seventh acquisition module, configured to acquire the satisfaction score of the commodity supplier corresponding to the team building type to which the target team building belongs; A fourth calculation module, configured to calculate the probability of the target team building funds approval being passed according to the total number of historical approvals of the team building type to which the target team building belongs, the number of historical approvals passed, the number of historical approvals not passed, the expenditure score of the target team building, and the satisfaction score of the commodity supplier.

6. The prediction system according to claim 4, wherein, the second calculation unit includes: A first calculation unit, configured to calculate the sum of the price cost score, the team building period expenditure score, and the personal cost score of the commodity supplier of the target team building.

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