Budget target measuring and calculating method and system based on multi-scene dynamic analysis
The budget target calculation method based on multi-scenario dynamic analysis solves the problems of single calculation scenarios, rigid adjustment of sensitive factors, difficulty in version management, and data isolation in traditional budget target calculation. It realizes intelligent, dynamic and collaborative budget targets, improves the accuracy of calculation and resource utilization, and supports data-driven decision-making and the implementation of strategic goals.
Patent Information
- Application Number
- CN202511178634.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-22
- Publication Date
- 2025-11-25
AI Technical Summary
Traditional budget target calculation methods suffer from problems such as limited calculation scenarios, rigid adjustments to sensitive factors, difficulties in version management, insufficient collaboration, and data silos, resulting in low efficiency in budget target management.
The budget target calculation method adopts a multi-scenario dynamic analysis approach. By integrating historical scenarios, cost regulation scenarios, and industry benchmarking scenarios, it enables multi-version calculations and automated adjustment of sensitive factors, supports cross-system data integration, and optimizes resource allocation.
It has enabled intelligent, dynamic, and collaborative budget target calculation, improved the accuracy of calculation results and resource utilization, reduced manual workload, and enhanced data-driven decision support and the guarantee of strategic goal implementation.
Smart Images

Figure CN121010243A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application belongs to the technical field of information management, and particularly relates to a budget target calculation method and system based on multi-scene dynamic analysis. BACKGROUND
[0002] In the subway operation industry, budget target calculation, as a key link of the overall budget management system, plays a quantitative management role in undertaking strategic targets, cost regulation, controlling costs and optimizing resource allocation.
[0003] In the face of the characteristics of complex subway operation cost composition, scattered data, complex index design, limited management tools, traditional prediction model, and the contradiction between public welfare and economy, how to efficiently play the role of budget target calculation has become a major difficulty in budget target management.
[0004] Traditional target calculation usually adopts methods such as historical trend method, planning calculation method or benchmarking method, and relies on manual collection, statistics and arrangement of data for target calculation. The following disadvantages exist: (1) Single calculation scene: the traditional method only focuses on single dimension based on historical data for linear prediction, lacks the composite application of multiple methods such as quota, contract and budget value, and the fusion analysis of multi-dimensional scenes such as cost regulation and industry benchmarking, and is easy to deviate from the actual demand of budget target; (2) Rigidity of sensitive factor adjustment: sensitive factor adjustment needs to be manually calculated again, and lacks a dynamic response mechanism; (3) Difficulty in version management: different calculation versions bear different business demands and have multiple management dimensions, and the management and comparative analysis of calculation results are complicated; (4) Lack of coordination: project budget quota calculation and budget total calculation are separated, resource allocation relies on experience, and the project allocable quota and priority cannot be calculated, resulting in unbalanced resource allocation; (5) Data isolation: due to process or department barriers, data granularity requirements are different, data splicing cannot meet the accuracy requirements of calculation, and the value information flow is blocked. SUMMARY
[0005] Therefore, it is necessary to provide a budget target calculation method and system based on multi-scene dynamic analysis to solve the five core problems of single calculation scene, rigidity of sensitive factor adjustment, difficulty in version management, lack of coordination and data isolation in traditional methods, and realize the intelligentization, dynamicization and coordination of budget target calculation.
[0006] In a first aspect, the embodiments of the application provide a budget target calculation method based on multi-scene dynamic analysis, including budget total calculation and project total calculation; The budget total calculation includes: The historical scenario estimation is based on a budget subject and estimates annual historical scenario budget totals and historical scenario generated index values through multiple manners; The cost regulation scenario estimation estimates various cost regulation index values and regulation cost totals through a cost regulation calculation algorithm according to cost regulation index basis information; wherein the cost regulation index basis information includes regulation cost standards and actual business volumes; The industry benchmarking scenario estimation is based on a benchmarking method and compares with index data of the same industry to show the current position of the company in the industry and analyzes problem causes and adjustment directions according to the comparison. The project total estimation includes: Based on non-project budget values in budget preparation and historical scenario estimation totals, the project available amount is estimated and projects that can be included in the budget range are determined.
[0007] In a second aspect, an embodiment of the present application provides a budget control method, including: The multiple-version and multiple-scenario budget total estimation includes: First, the cost regulation estimation index values are compared with the industry benchmarking estimation index values, the industry benchmarking values are used as a benchmark, and the index values with large deviations from the cost regulation estimation values are positioned, and the index values are made to reach the expected target by reducing or increasing the business volume of the corresponding cost regulation index; Second, the historical scenario estimation index values are compared with the cost regulation scenario estimation index values, the cost regulation scenario estimation values are used as a benchmark, and the index values with deviations from the historical scenario estimation values are positioned, and the historical scenario index estimation values are made to meet the cost regulation requirements by adjusting the basis data through downward drilling; Finally, the deviations between the budget preparation budget and the historical scenario estimation values are compared, the budget preparation is adjusted, and finally a budget that meets the industry development requirements and regulation cost control targets is formed; The multiple-version project total estimation includes: The project total estimation is based on the corresponding version of the budget total estimation, and the project range is determined according to the estimation results; The future three-year budget target estimation includes: On the basis of completing the multiple-version and multiple-scenario estimation process, the future three-year target values are selected for a specific version and scenario.
[0008] In a third aspect, an embodiment of the present application provides a budget target estimation system based on multiple-scenario dynamic analysis, including a budget total estimation module and a project total estimation module; The budget total estimation module includes: The historical scenario estimation module is used to estimate annual historical scenario budget totals and historical scenario generated index values based on a budget subject through multiple manners; The cost regulation scene measurement module is configured to measure each cost regulation index value and total regulation cost according to cost regulation index basic information and through a cost regulation calculation algorithm; wherein the cost regulation index basic information comprises a regulation cost standard and actual business volume; The industry benchmarking scene measurement module is configured to compare with the same industry index data based on the benchmarking method, display the current position of the company in the industry, and analyze the causes and adjustment direction of the problems according to the comparison; The project total measurement module is configured to measure the available quota of the project and determine the project that can be included in the budget range based on the non-project budget value in the budget preparation and the total value measured in the historical scene.
[0009] In a fourth aspect, an embodiment of the present application provides a budget control system, comprising: The historical scene measurement result display module is configured to: After the total budget of the historical scene is measured, the measurement results measured in different ways are displayed; and the measurement results are adjusted to compare the adjusted measurement value with the budget preparation data, and calculate the difference between the budget value and the measurement value. The multi-version and multi-scene total budget measurement module is configured to: Firstly, the cost regulation measurement index value is compared with the industry benchmarking measurement index value, the industry benchmark value is taken as a reference, the index with a larger deviation from the cost regulation measurement value is positioned, and the index value is made to reach the expected target by reducing or increasing the business volume of the corresponding cost regulation index; Secondly, the historical scene measurement index value is compared with the cost regulation scene measurement index value, the cost regulation scene measurement value is taken as a reference, the index with a deviation from the historical scene measurement value is positioned, and the historical scene index measurement value is made to meet the cost regulation requirement by adjusting the basic data through the downward drilling method; Finally, the deviation between the budget preparation budget and the historical scene measurement value is compared, the budget preparation is adjusted, and finally a budget that meets the requirements of the industry development and the regulation cost control target is formed; The multi-version project total measurement module is configured to: The project total measurement is performed based on the corresponding version of the total budget measurement and according to the measurement result to determine the project range; The future three-year budget target measurement module is configured to: On the basis of completing the multi-version and multi-scene measurement process, the target value of the future three years is selected in a specific version and scene.
[0010] In a fifth aspect, an embodiment of the present application provides an electronic device, comprising: The memory is used for storing a computer program, and the processor runs the computer program to enable the electronic device to execute the budget target calculation method based on multi-scene dynamic analysis or execute the budget control method.
[0011] In a sixth aspect, the embodiments of the present application provide a computer readable storage medium storing a computer program, which is executed by a processor to implement the budget target calculation method based on multi-scene dynamic analysis or execute the budget control method.
[0012] The present application has outstanding substantial features and significant progress compared with the prior art, and specifically: (I) Technical benefits (1) Multi-scene fusion analysis solves the problem of single calculation scene: The future budget value is calculated by fusing historical scene, cost regulation scene, and industry benchmarking scene, the budget indicators of each scene are aligned, horizontal comparison analysis is supported, key indicator gaps are easily identified, and the calculation result that is more in line with the budget target demand is located.
[0013] At the same time, the historical scene integrates historical data, quota, business volume, and contract execution plan data for calculation, solving the single dimension of linear calculation of historical trend method and the limitation of relying on historical assumptions.
[0014] (2) Sensitivity factor adjustment automation solves the problem of rigid adjustment: Based on the internal or external factors that may have a significant impact on the budget target, when adjusting the key sensitivity factors, the target value or indicator associated with the adjustment factor can be automatically responded to, so as to improve the efficiency of sensitivity factor adjustment and reduce the manual workload.
[0015] (3) Dynamic version management solves the problem of version management difficulty: Supporting calculation based on different business needs (optimistic version, benchmark version, and pessimistic version), creating multiple calculation versions, and being able to adjust the calculation value, the versions are independent of each other, and the calculation data can be drilled down.
[0016] (4) Resource coordination optimization solves the problem of insufficient coordination: Supporting dynamic calculation of project allocable resources and project quota overrun warning, and being able to define the range of project budget resource allocation according to the importance level of the project, reducing resource waste rate.
[0017] (5) Cross-system integration solves the problem of data isolation: Integrated with the project establishment system, realizing data sharing of project basic information, and refining and unifying the granularity of project execution plan, improving the accuracy of calculation results, and being close to actual operation calculation scene.
[0018] (II) Economic benefits (1) Optimize resource utilization: The project quota can be dynamically controlled to ensure that the budget allocation is consistent with the strategic objectives and reduce resource waste.
[0019] (2) Promote cost reduction and efficiency improvement: The integration of multi-scenario index comparison and analysis can help identify inefficient links in enterprise operations, and targeted optimization can save a corresponding proportion of operating costs. This estimation model, combined with system automation, can reduce the difficulty of data management in multiple scenarios and multiple situations, free up manual workload, and improve scientificity.
[0020] (III) Management benefits (1) Data-driven decision support: Multi-scenario comparison and estimation tables (such as history, cost regulation, and industry benchmarking) provide data for decision-making, helping management to improve response speed.
[0021] Support for drilling to view detailed data (such as the impact of single subject adjustments on total costs), enhancing the transparency and traceability of budget estimation.
[0022] (2) Cross-system collaboration and data consistency: It can be integrated with the project system to achieve real-time synchronization of project execution data, improving data accuracy; unified data sources reduce inter-departmental communication costs and improve cross-departmental collaboration efficiency.
[0023] (3) Strategic goal landing guarantee: Through project total estimation and priority screening, resources are tilted towards high-value projects, and the achievement rate of strategic goals is improved and improved.
[0024] (IV) Expanding value This system framework can be extended to the rail transportation industry, public service field, and heavy asset enterprises, with broad potential for promotion. The core value lies in balancing compliance and resource optimization to adapt to budget policy constraints, and benchmarking industry energy consumption and maintenance costs to promote energy saving and cost reduction, meeting cost regulation requirements. BRIEF DESCRIPTION OF DRAWINGS
[0025] Figure 1 Flowchart of the budget target estimation method based on multi-scenario dynamic analysis in Example 1.
[0026] Figure 2 Flowchart of historical scenario estimation in Example 1.
[0027] Figure 2-1 Illustration of the "Yearly Data Display Table".
[0028] Figure 2-2Schematic diagram of the Contract Subject Configuration Table.
[0029] Figure 2-3 Schematic diagram of the Contract Actuals Preparation Table.
[0030] Figure 2-4 Schematic diagram of the Quota Subject Configuration Table.
[0031] Figure 2-5 Schematic diagram of the Quota Subject Calculation Table.
[0032] Figure 2-6 Schematic diagram of the Non-Quota Subject Calculation Table.
[0033] Figure 2-7 Schematic diagram of the Budget Scope Calculation Display Table.
[0034] Figure 2-8 Schematic diagram of the Budget Year Target Calculation Amount and Annual Budget Comparison Table.
[0035] Figure 2-9 Schematic diagram of the Three-Year Target Calculation Amount.
[0036] Figure 2-1 Schematic diagram of the Historical Scenario Basic Information Maintenance Table.
[0037] Figure 3 Flowchart of the cost regulation scenario calculation in Example 1.
[0038] Figure 3-1 Schematic diagram of the Cost Regulation Calculation Basic Information Maintenance Table.
[0039] Figure 3-2 Schematic diagram of the Cost Regulation Scenario Calculation Index Display Table.
[0040] Figure 4 Flowchart of the industry benchmark scenario calculation in Example 1.
[0041] Figure 4-1 Schematic diagram of the Industry Benchmark Calculation Table.
[0042] Figure 5 Flowchart of the project total amount calculation in Example 1.
[0043] Figure 5-1 Schematic diagram of the Unapproved Project Basic Information Maintenance Table.
[0044] Figure 5-2 Schematic diagram of the Approved Project Project Basic Information Display Table.
[0045] Figure 5-3 Schematic diagram of the Project Total Amount Calculation Table.
[0046] Figure 6-1 Fig. 1 is a schematic diagram of a target measurement scenario comparison table.
[0047] Figure 6-2 Fig. 2 is a schematic diagram of budget index measurement under a group. DETAILED DESCRIPTION
[0048] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.
[0049] The terms "include" and "have" and any variations thereof in the specification and claims of the present application and the above drawings are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device including a series of steps or modules is not limited to the listed steps or modules, but can include steps or modules not listed.
[0050] Embodiment 1 The present embodiment provides a budget control method based on a budget target measurement method based on multi-scenario dynamic analysis.
[0051] The budget target measurement method based on multi-scenario dynamic analysis, as shown in Figure 1 includes budget total measurement and project total measurement.
[0052] The budget total measurement includes: Historical scenario measurement, based on budget subjects, the annual historical scenario budget total and historical scenario generated index values are measured by multiple ways; Cost regulation scenario measurement, according to the cost regulation index basic information, the cost regulation index values and regulation cost total are measured by cost regulation calculation algorithm; wherein, the cost regulation index basic information includes regulation cost standard and actual business volume; Industry benchmarking scenario measurement, based on benchmarking method, through comparison with industry index data, the current position of the company in the industry is displayed, and the problem causes and adjustment direction are analyzed and targeted according to the comparison; The project total measurement includes: Based on the non-project budget value in budget preparation and the historical scenario measurement total, the project available amount is measured and the projects that can be included in the budget range are determined.
[0053] Historical scenario measurement result display: After the total budget of the historical scenario is calculated, the results of different calculation methods are displayed. Based on the calculation results, adjustments are made to compare the adjusted calculation values with the budget data and calculate the difference between the budget values and the calculation values. Total budget of multi-version and multi-scenario calculation: Firstly, compare the cost regulation calculation index value with the industry benchmark calculation index value. Take the industry benchmark value as the benchmark, locate the index with a larger deviation from the cost regulation calculation value, and adjust the corresponding cost regulation index value by reducing or increasing the business volume to achieve the expected target. Secondly, compare the historical scenario calculation index value with the cost regulation scenario calculation index value. Take the cost regulation scenario calculation value as the benchmark, locate the index with a deviation from the historical scenario calculation value, and adjust the basic data through drilling down to make the historical scenario index calculation value meet the cost regulation requirements. Finally, by comparing the deviation between the budget prepared in the budget year and the historical scenario calculation value, adjust the budget preparation, and finally form a budget that meets the requirements of industry development and regulation cost control targets. Total budget of multi-version project calculation: The total budget of the project is calculated based on the corresponding version of the total budget calculation and the calculation results.
[0054] Future three-year budget target calculation: Based on the completion of the multi-version and multi-scenario calculation process, select a specific version and scenario to calculate the target value for the next three years.
[0055] Specific historical scenario calculation, as shown in Figure 2 Based on the budget subject, the historical scenario budget total and index are calculated through three methods: contract type, quota type, and non-quota type. The historical scenario can calculate the total budget and index for the next three years, or calculate the total budget and index for multiple versions according to different management requirements.
[0056] Contract type calculation method: Configure contract type calculation subjects according to actual business management needs, prepare the basic information of executed contracts in the calculation year, and take the total amount of executed contracts in the budget year as the basis for contract type calculation data. The subjects involved in contract type calculation include outsourcing maintenance, security fee, cleaning fee, and security fee, etc. Among them, the total maintenance amount of the outsourcing subject in the budget year = total maintenance amount * proportion of budget year service months in the whole year / contract duration, and the total contract amount of other subjects in the budget year = total contract amount * proportion of budget year service months in the whole year / contract duration; Quota type calculation method: Configure quota type subjects according to actual business needs, calculate the quota calculation value = quota standard × business volume by preparing quota standards and business volume, and take the quota calculation value as the basis for the calculation data of this type of subject; Non-quota type calculation method: According to the actual business needs, configure non-quota type subjects, select the average of the actual data of the past three years or the budget value of the budget year as the non-quota calculation value, and take this value as the basis for calculating the data of this type of subject; The calculation results of comprehensive contract type, quota type, and non-quota type are obtained to obtain the annual historical scenario budget total.
[0057] Historical scenario calculation result display: After the annual historical scenario budget total is calculated, the calculation results of contract type, quota type, and non-quota type can be viewed at the same time, and adjustments can be made based on the results. The adjusted calculation value is compared with the budget preparation data to calculate the difference between the budget number and the calculation number.
[0058] Historical scenario calculation of future three-year budget total: According to the annual historical scenario budget total calculation method, calculate the future three-year budget total.
[0059] Historical scenario multi-version calculation: Support to carry different business needs under the calculation data version of optimistic version, pessimistic version, normal version and other versions, and calculate according to the annual historical scenario budget total calculation method. Among them, the optimistic version refers to the higher budget target calculated based on the most favorable economic environment, cost control better than plan and other positive factors, the pessimistic version refers to the lower budget target calculated based on unfavorable environmental changes, revenue decline, cost increase and other negative factors, and the normal version refers to the regular budget target calculation based on the most likely neutral expectation of the company on the environment, operation and other aspects.
[0060] Historical scenario index value generation: Prepare historical scenario basic information, combine historical scenario calculation value, and calculate to generate historical scenario index value for comparison of each scenario index calculation result.
[0061] The business process for the realization of historical scenario is as follows: (1) Historical scenario form setting: Set up "Yearly Data Display Table" (Form a1) for displaying the historical data of the past years based on the budget subject granularity, as shown in Figure 2-1 (limited to the length, only part of the subjects are displayed).
[0062] Set up "Contract Calculation Subject Configuration Table" (Form a2) for configuring whether to calculate the subjects by contract, as shown in Figure 2-2 (limited to the length, only part of the subjects are displayed).
[0063] Set up "Contract Actual Number Preparation Table" (Form a3) for calculating the total amount of budget year maintenance of subjects by contract, as shown in Figure 2-3 (limited to the length, only part of the subjects are displayed).
[0064] Set up the "Quota Subject Configuration Table" (Form a4) for configuring quota subjects and non-quota subjects, as shown in Figure 2-4 (limited to the length, only part of the subject is shown).
[0065] Set up the "Quota Subject Estimation Table" (Form a5) for estimating the estimation value of the quota subject, as shown in Figure 2-5 (limited to the length, only part of the subject is shown).
[0066] Set up the "Non-quota Subject Estimation Table" (Form a6) for estimating the estimation value of the non-quota subject, as shown in Figure 2-6 (limited to the length, only part of the subject is shown).
[0067] Set up the "Budget Scope Estimation Display Table" (Form a7) for calculating, adjusting and displaying the estimation value of the budget subject, as shown in Figure 2-7 (limited to the length, only part of the subject is shown), which can be adjusted manually.
[0068] Set up the "Budget Year Target Estimation Amount and Annual Budget Comparison Table" (Form a8) for displaying the comparison of budget value and estimation value based on the budget subject and the project quota, as shown in Figure 2-8 (limited to the length, only part of the subject is shown).
[0069] Set up the "Three-year Target Estimation Amount" (Form a9) for displaying the future three-year target estimation value of the historical scenario, as shown in Figure 2-9 (limited to the length, only part of the subject is shown).
[0070] Set up the "Historical Scenario Basic Information Maintenance Table" (Form a10) for preparing the historical scenario index basic information, as shown in Figure 2-1 0 (limited to the length, only part of the subject is shown).
[0071] (2) Application steps of the historical scenario form: Step A1, display the data of the previous years: View Form a1, select the estimation version and estimation year, run the system rules, get the actual data of the previous years based on the subject dimension from the budget analysis module, and calculate the historical three-year average value, get the budget value of the budget year from the budget preparation module. You can select different lines and projects to view the corresponding data.
[0072] Step A2, configure the subject estimated by contract: Select the subject estimated by contract in Form a2, select "Yes" to estimate the total amount of the maintenance of the budget year for this type of subject in Form a3.
[0073] Step A3, estimate the total amount of the contract budget: Configure the subject based on form a2, fill in the relevant contract information in form a3, automatically calculate the total amount of the single-year contract / total amount of single-year maintenance, and the total amount of budgeted annual maintenance. The total amount of budgeted annual maintenance of all contracts under this subject will be used as the total amount of the estimate.
[0074] Step A4, configure the subject of the estimated amount: In form a4, identify the budget subject attribute as a quota subject or a non-quota subject, and use it to estimate the quota subject estimate value in form a5 and the non-quota subject estimate value in form a6.
[0075] Step A5, estimate the total amount of the quota budget: In form a5, fill in the quota and business volume based on the subject, and automatically generate the estimate value of the quota subject.
[0076] Step A6, estimate the total amount of the non-quota budget: In form a6, based on the non-quota subject, select the estimation type according to the estimation requirement ("actual number historical three-year average" or "budget year budget value"), if the "actual number historical three-year average" type is selected, the data from form a1 is referenced as the non-quota estimate value; if the "budget year budget value" type is selected, the data from form a1 is referenced as the non-quota estimate value.
[0077] Step A7, show the estimate result: In form a7, the contract type estimate value, quota type estimate value and non-quota type estimate value are displayed, and the adjustment number is filled in the adjustment column as needed, and the adjusted estimate result is calculated, which will be used as the historical scenario estimate value.
[0078] Step A8, show the comparison between the historical scenario estimate value and the budget year budget: Form a8 automatically obtains the data from form a1 and form a7, and displays the historical scenario estimate value, the budget year budget, the target difference and the difference ratio, and also estimates the project quota based on the historical scenario estimate value and the non-project budget, which is used to determine the project scope in the project total amount estimation process.
[0079] Step A9, show the estimate value for the next 3 years: Based on steps A1-A7, the estimate value for the next 3 years is calculated respectively, and form a9 automatically obtains the data of each year from form a5 to compare and display the estimate value for the next 3 years.
[0080] Step A10, collect historical scenario index basic information: Fill in the historical scenario index basic information in form a10, which is used to generate the index value for multi-scenario comparison. After the cost regulation scenario and industry benchmark scenario are calculated, the comparison of the three scenarios can be viewed in form d1.
[0081] Step A11, Multi-version measurement: Multiple versions can be established, and measurement is performed based on steps A1-A7. The measurement results can be compared through the system's on-the-spot function.
[0082] Specific cost regulation scenario measurement, such as Figure 3 shown: ①Maintenance of cost regulation basic information: Maintenance of cost regulation basic information (such as number of personnel per kilometer, enterprise pension ratio, etc.).
[0083] ②Based on the cost regulation basic information, calculate the daily operation cost, depreciation and amortization, financial cost, and other cost regulation index values, and measure the cost regulation range to obtain the total cost regulation measurement value.
[0084] ③Positioning problem optimization adjustment: If the historical scenario target measurement total exceeds the regulation cost total, no adjustment is needed; if it exceeds, it needs to be positioned to specific indicators or businesses, and by adjusting the corresponding business volume or standard, the total is reduced to within the regulation cost range.
[0085] The business process for the specific implementation of the cost regulation scenario is: (1) Cost regulation scenario form setting: Form b1. "Cost regulation measurement basic information maintenance table", as shown in Figure 3-1 (only part of the subjects are shown due to page limitations): used to compile the basic information used for cost regulation scenario indicator measurement.
[0086] Form b2. "Cost regulation scenario measurement indicator display table", as shown in Figure 3-2 (only part of the subjects are shown due to page limitations): used to measure and display cost regulation scenario regulation cost indicator values and total.
[0087] (2) Form application steps: Step B1, Cost regulation indicator basic information collection: Select the measurement version in form b1, and compile the basic information for cost regulation scenario measurement indicators.
[0088] Step B2, display cost regulation measurement results: Form b2 automatically obtains the basic information from form b1, automatically generates cost regulation indicator measurement results according to the indicator calculation formula, and generates regulation cost total by layer-by-layer summarization according to the measurement indicator hierarchy. The generated measurement results can be adjusted according to management needs, and the adjusted results will be used as the cost regulation scenario indicator measurement values.
[0089] Step B3, Multi-version measurement: Multiple versions can be created, and each version can be calculated based on steps B1-B2. The calculation results can be compared between versions using the system's ad-hoc function.
[0090] Specific industry benchmarking scenarios, such as Figure 4 As shown: ① Obtain benchmarking indicators: Import the basic indicator values of your company and benchmark companies, and automatically calculate the required benchmarking indicators according to the preset indicator formula; ② Display the comparison results of indicators: Based on the indicator information of our company and benchmark companies, automatically calculate the industry maximum, minimum and average values; combine the actual selected benchmark values, and calculate the difference between our company's indicator results and the benchmark values; ③ Optimize and adjust the positioning problem: For indicators with large discrepancies, use drill-down decomposition to locate specific budget business items and adjust the sensitivity factors according to the target value.
[0091] The specific business process implemented in the industry benchmark scenario is as follows: (1) Industry benchmarking scenario form settings: Form c1. "Industry Benchmarking Calculation Table", as shown Figure 4-1 As shown (only some items are displayed due to space limitations): Used for comparative analysis of our company's indicators and industry indicators to determine benchmark values.
[0092] (2) Form application steps: Step C1. Industry benchmarking data preparation: In form C1, write the company's current year industry indicators and the benchmark company's industry indicators, and automatically generate the industry maximum, minimum, and average values.
[0093] Step C2. Industry Comparison and Positioning: Based on the results generated in Step C1, select the industry benchmark value in the benchmark value column of form c1, and automatically calculate the difference between the company and the benchmark value for analysis of the company's strengths and weaknesses.
[0094] Specific project total amount calculation as follows: Figure 5 As shown: ① Project approval information sharing: Obtain basic information on approved projects, display the overall situation of the projects, obtain their annual budget, calculate the difference between the annual budget breakdown amount of detailed projects and the project budget, and use it as a basic data reference for whether the project should be included in the budget scope; ②Maintain information on projects that have not yet been approved: Maintain information on projects that have not been approved and their annual budgets, and calculate the difference between the annual budget breakdown of detailed projects and the project budget as a basic data reference for whether the project should be included in the budget scope; ③ Calculate the available quota and balance for the project: The difference between the historical scenario measurement value and the budget year non-project budget amount is the project quota; the difference between the project quota and the total amount of the project budget year is the project quota balance; (4) Preliminary judgment of project inclusion: According to the project quota balance, it is judged whether the project can be included in the budget range: If the project quota balance is <0, it means that the total project budget has exceeded the quota, and the project that should be included in the budget range needs to be screened; If the project quota balance is >0, it means that the total project budget has not exceeded the quota, and all projects can be included in the budget range; (5) Screening of projects and determination of final range: Further screening of project range, the difference between the project quota and the total amount of the project budget included in the budget range is the project quota balance after screening, and the project budget range is determined accordingly: If the project quota balance after screening is <0, it means that the total amount of the screened project budget exceeds the quota, and further screening of low-priority projects needs to be removed; If the project quota balance after screening is >0, it means that the total amount of the screened project budget does not exceed the quota, and if the balance is sufficient, further screening of suitable projects for inclusion in the budget range is needed; Through the screening of project range, the project resource allocation is reasonable and efficient, and it is matched with the enterprise goal.
[0095] The business process for the total amount of the project is as follows: (1) Project total amount table measurement form setting: Form d1. "Unapproved project basic information maintenance table", as shown in Figure 5-1 (limited to the length, only part of the subject is shown): used to maintain the basic information of unapproved projects, and to measure the budget year of each project budget amount and the difference between the project budget, which is used as the basis for data reference whether the project is included in the budget range.
[0096] Form d2. "Approved project basic information display table", as shown in Figure 5-2 (limited to the length, only part of the subject is shown): used to access the basic information of the approved project, and to measure the budget year of each project budget amount and the difference between the project budget, which is used as the basis for data reference whether the project is included in the budget range.
[0097] Form d3. "Project total amount measurement table", as shown in Figure 5-3 (limited to the length, only part of the subject is shown): used to measure the total amount of the project included in the budget range and the project range.
[0098] (2) Form application steps: Step D1, unapproved project information maintenance: In the form d1, the basic information of the non-project is entered, which involves the project cycle, feasibility, and total amount of annual implementation plan. The system automatically calculates the target difference of each project, that is, the deviation between the project estimate and the budget.
[0099] Step D2, approved project information display: Form d2 accesses and displays the basic information of the approved project in the project system. The system automatically calculates the target difference of each project, that is, the deviation between the project estimate and the budget.
[0100] Step D3, view project quota: In form d3, view the estimated value of the approved project and the non-approved project, the total amount of the project estimate, the project quota, and the project quota balance. If the project quota balance is displayed in green (project quota balance > 0), it means that the project quota is sufficient. If it is displayed in red (project quota balance < 0), it means that the project quota is insufficient, and step D4 needs to be performed to screen the project priority.
[0101] Step D4, project scope screening: In form d1 and form d2, screen the projects included in the budget range. Select "Yes" in the "Whether to include in the project range" column for the projects that need to be included.
[0102] Step D5, view the project quota after screening: In form d3, view the project quota balance after screening. If it is displayed in green (project quota balance > 0), it means that all the screened projects can be included in the budget range. If it is displayed in red (project quota balance < 0), it means that the screened projects still exceed the budget range, and step D4 needs to be further screened until the project quota balance is displayed in green (not less than 0), that is, the project quota is fully utilized and the resource allocation is balanced.
[0103] Target estimation control: (1) Target estimation form setting: Form e1. "Target estimation scene comparison table", as shown in Figure 6-1 (limited to the length, only part of the subjects are displayed): used to display the comparison of historical scenes, cost regulation scenes, and industry benchmark scenes in different versions of indicators.
[0104] Form e2. "Group budget index estimation", as shown in Figure 6-2 (limited to the length, only part of the subjects are displayed): used to fill in the group index, and compare it with the historical scene, cost regulation scene, and industry benchmark scene in a certain version.
[0105] (2) Form application steps: Step E1, scene comparison: In the form e1, select the required version, view the historical data scenario, cost regulation scenario, and industry benchmark scenario. The specific use process is as follows: First, compare the cost regulation calculation index value with the industry benchmark calculation index value. Take the industry benchmark value as the benchmark, and locate the index with a larger deviation from the cost regulation calculation value. By drilling down, reduce the business volume of the corresponding cost regulation index, and make the index value reach the expected target; Second, compare the historical scenario calculation index value with the cost regulation scenario calculation index value. Take the cost regulation scenario calculation value as the benchmark, and locate the index with a deviation from the historical scenario calculation value. By drilling down, adjust the basic data to make the historical scenario index calculation value meet the cost regulation requirements; Finally, by comparing the deviation between the budget of the budget year and the historical scenario calculation value, adjust the budget preparation, and finally form a budget that meets the requirements of industry development and regulation cost control targets; The order and comparison method of the above three scenario index comparisons and drilling can be adjusted as needed.
[0106] Step E2, the group issues index comparison: The group-issued index can be filled in form e2 and compared with the other three scenarios to analyze and determine whether adjustment is needed and which index needs to be adjusted. The specific use process is as follows: Generally, the group-issued index needs to be compared with the historical scenario index. When the historical scenario index exceeds the group-issued index, the index composition basic information needs to be drilled down to reduce the corresponding business data so that the index meets the group target requirements.
[0107] Step E3, select the final calculation version: According to the management guidance requirements, step E1 or step E2 can be performed based on multiple versions. Through calculation, comparison, drilling, and adjustment, the version that meets the company's development target is selected.
[0108] Step E4, determine the budget: Based on step E3, the historical scenario calculation value and the budget comparison in form a8 can be used to adjust the sensitive factors based on the selected version to finally determine a budget that meets the company's requirements and cost regulation requirements.
[0109] Step E5, determine the project scope: Based on step E1 or E2, the project total calculation will be performed on the corresponding version of the budget total calculation based on the calculation results of step D1-D5 to finally determine the project scope included in the budget.
[0110] The system software of the embodiment adopts Oracle Hyperion product (abbreviation: Hyperion system), and software configuration includes Oracle DataBase (Oracle database), Oracle Hyperion Planning (Oracle Hyperion budget management), Oracle Hyperion Financial Management (Oracle Hyperion financial management) and Oracle Data Integrator (Oracle data integration tool).
[0111] The Hyperion system adopts Hyperion Essbase multidimensional database, dimensions are composed of 6 standard dimensions and 7 custom dimensions, and can support multi-view data analysis and drilling. With the aid of Hyperion Essbase multidimensional database, the Hyperion system supports budget data preparation to the finest granularity, and automatically aggregates, while supporting the establishment of hierarchical relationship of each dimension, and can obtain the most detailed data through hierarchical drilling.
[0112] The Hyperion system provides web page maintenance mode, and also provides excel maintenance mode. Through seamless docking of SmartView plug-in and MS Office EXCEL, data in the system can be conveniently presented on EXCEL. Based on this, multi-dimensional combined analysis can be carried out in an ad hoc manner, including index analysis, difference analysis, trend analysis and structure analysis.
[0113] The Hyperion system supports multi-version budget management, and retains and compares different versions of budgets, including optimistic version, pessimistic version, normal version and group issued version.
[0114] Embodiment 2 The embodiment provides a budget target calculation system based on multi-scene dynamic analysis, which comprises a budget total amount calculation module and a project total amount calculation module. The budget total amount calculation module comprises: A historical scene calculation module is configured to calculate annual historical scene budget total amount and historical scene generated index value based on budget subjects through multiple ways. A cost regulation scene calculation module is configured to calculate each cost regulation index value and regulation cost total amount through a cost regulation calculation algorithm according to cost regulation index basic information, wherein the cost regulation index basic information comprises regulation cost standard and actual business volume. An industry benchmarking scene calculation module is configured to display the current position of a company in an industry through comparison with industry index data based on benchmarking method, and to analyze problem causes and adjustment directions according to the comparison. A project total amount estimation module is configured to estimate the total amount based on non-project budget values in budgeting and historical scenario estimation, estimate the available amount of the project, and determine the project that can be included in the budget range.
[0115] It should be noted that the system embodiment of the present embodiment is similar to the above-mentioned method embodiment 1, and therefore the description is relatively simple. For relevant parts, please refer to the above-mentioned method embodiment 1.
[0116] Embodiment 3 The present embodiment provides a budget management system, comprising: A historical scenario estimation result display module is configured to: After the total amount of the historical scenario budget is estimated, the estimation results of different modes are displayed. On the basis of the estimation results, adjustment is made to compare the adjusted estimation value with the budgeting data, and the difference between the budget value and the estimation value is calculated. A multi-version multi-scenario budget total amount estimation module is configured to: First, the cost regulation estimation index value is compared with the industry benchmark estimation index value. Taking the industry benchmark value as the benchmark, the index with a large deviation of the cost regulation estimation value is located, and the index value is made to reach the expected target by reducing or increasing the business volume of the corresponding cost regulation index. Second, the historical scenario estimation index value is compared with the cost regulation scenario estimation index value. Taking the cost regulation scenario estimation value as the benchmark, the index with a deviation of the historical scenario estimation value is located, and the historical scenario index estimation value is made to meet the cost regulation requirement by adjusting the basic data through the downward drilling method. Finally, by comparing the deviation between the budget year budget and the historical scenario estimation value, the budget preparation is adjusted, and finally a budget that meets the requirements of industry development and regulation cost control target is formed. A multi-version project total amount estimation module is configured to: The project total amount estimation is executed based on the estimation results of the corresponding version of the budget total amount estimation and determines the project range; A future three-year budget target estimation module is configured to: On the basis of completing the multi-version multi-scenario estimation process, the target value of the future three years is selected for a specific version and scenario.
[0117] It should be noted that the system embodiment of the present embodiment is similar to the above-mentioned method embodiment 1, and therefore the description is relatively simple. For relevant parts, please refer to the above-mentioned method embodiment 1.
[0118] Embodiment 4 The present embodiment provides an electronic device, comprising: One or more processors; A memory for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors perform the steps of the budget control method as described in embodiment 1.
[0119] The embodiments of the present application further provide a computer readable storage medium, and the computer readable storage medium stores computer programs / instructions, and the computer programs / instructions are executed by a processor to implement the steps of the budget control method disclosed in embodiment 1 of the present application.
[0120] Each of the embodiments in the specification is described in a progressive manner, and each embodiment focuses on the difference from other embodiments, and the same and similar parts between the embodiments can be referred to each other.
[0121] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the embodiments of the present application can be in the form of a completely hardware embodiment, a completely software embodiment or an embodiment combining software and hardware aspects. Moreover, the embodiments of the present application can be in the form of a computer program product implemented on one or more computer usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer usable program code.
[0122] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams according to the methods, systems, devices and storage media of the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing terminal devices to produce a machine, so that the instructions executed by the computer or other programmable data processing terminal devices produce a device for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The device for implementing the functions specified in one flow or multiple flows and / or blocks. Figure 1 The device for implementing the functions specified in one flow or multiple flows and / or blocks.
[0123] Those skilled in the art can easily understand that the above description is only the preferred embodiment of the present application, and is not used to limit the present application, and any modification, equivalent replacement and improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims
1. A budget target measurement method based on multi-scenario dynamic analysis, characterized in that, The budget total estimation and the project total estimation are included. The budget total estimation includes: The historical scenario estimation, which is based on the budget subject and measures the annual historical scenario budget total and the historical scenario generated index value through various ways; The cost regulation scenario estimation, which measures the cost regulation index value and the regulation cost total according to the cost regulation index basic information through the cost regulation calculation algorithm; wherein, the cost regulation index basic information includes the regulation cost standard and the actual business volume; The industry benchmarking scenario estimation, which is based on the benchmarking method, compares with the index data of the same industry, shows the current position of the company in the industry, and analyzes the problem causes and adjustment direction according to the comparison. The project total estimation includes: Based on the non-project budget value in the budget preparation and the historical scenario estimation total, the project available quota is estimated and the project that can be included in the budget range is determined.
2. The budget target measurement method based on multi-scenario dynamic analysis according to claim 1, characterized in that, The method for measuring the annual historical scenario budget total and the index value based on the budget subject through various ways is: The various ways include three ways of measuring the annual historical scenario budget total: contract type, quota type, and non-quota type; The contract type estimation method: according to the actual business management demand, the contract type estimation subject is configured, the basis information of the executed contract in the estimation year is prepared, and the total amount of the budget year of the executed contract is taken as the basis of the contract type subject estimation data; the subjects involved in the contract type estimation include outsourcing maintenance, security fee, cleaning fee, and security check fee, wherein, the total amount of the budget year of the outsourcing subject = the total amount of the maintenance * the proportion of the budget year service months in the whole year / the contract duration, and the total amount of the contract of the other subjects = the total amount of the contract * the proportion of the budget year service months in the whole year / the contract duration; The quota type estimation method: according to the actual business demand, the quota type subject is configured, the quota estimation value = quota standard * business volume is calculated through the preparation of the quota standard and the business volume, and the quota estimation value is taken as the basis of the estimation data of this type of subject; The non-quota type estimation method: according to the actual business demand, the non-quota type subject is configured, the average value of the actual number of the last three years or the budget value of the budget year is selected as the non-quota estimation value, and the value is taken as the basis of the estimation data of this type of subject; The annual historical scenario budget total is obtained by combining the estimation results of the contract type, the quota type, and the non-quota type, and the estimation value after adjustment is compared with the budget preparation data to calculate the difference between the budget value and the estimation value; The historical scenario generated index value: the historical scenario basic information is prepared, the historical scenario generated index value is measured and generated based on the historical scenario estimation value, and is used for the comparison of the estimation results of various scenarios. 3.The budget target measurement method based on multi-scenario dynamic analysis of claim 1, wherein, The method for obtaining the cost regulation scenario estimation value through the cost regulation scenario estimation is: ① Maintain the cost regulation basic information; ② Calculate the cost regulation index value based on the cost regulation basic information, and measure the cost regulation range to obtain the cost regulation total estimation value.
4. The budget target measurement method based on multi-scenario dynamic analysis according to claim 1, characterized in that, The specific method for the industry benchmarking scenario estimation is: ① Import the basic index value of the company and the benchmarking company, and automatically calculate the required benchmarking index according to the preset index formula; ②According to the company and the benchmark company index information, automatically calculate the industry maximum, minimum, average; Combined with the actual selection of benchmark value, calculate the difference between the company's index results and the benchmark value; ③For the larger index, through the drilling decomposition method, locate to the specific budget business item, adjust the sensitive factor according to the target value.
5. The budget target measurement method based on multi-scenario dynamic analysis according to claim 1, characterized in that, The specific method of total project estimation is: ①Get the approved project basic information, show the overall situation of the project, and get the budget year budget, estimate the difference between the detailed project budget year disassembly amount and the project budget, which is the basic data reference for whether the project is included in the budget range; ②Maintain the information and budget year budget of the unapproved project, estimate the difference between the detailed project budget year disassembly amount and the project budget, which is the basic data reference for whether the project is included in the budget range; ③The difference between the historical scene estimation value and the non-project budget amount of the budget year is used as the project quota; The difference between the project quota and the total amount of the project budget year is used as the project quota balance; ④According to the project quota balance, judge whether the project can be included in the budget range: If the project quota balance < 0, it means that the total amount of the project budget has exceeded the quota, and the project that needs to be included in the budget range needs to be screened; If the project quota balance > 0, it means that the total amount of the project budget has not exceeded the quota, and all projects can be included in the budget range; ⑤Further screen the project range, use the difference between the project quota and the total amount of the project budget included in the budget range as the project quota balance after screening, and determine the project budget range accordingly: If the project quota balance after screening < 0, it means that the total amount of the screened project budget exceeds the quota, and further screening is needed to remove low-priority projects; If the project quota balance after screening > 0, it means that the total amount of the screened project budget does not exceed the quota, and if the balance is sufficient, further screening is needed to include suitable projects in the budget range; Through project range screening, project resource allocation is reasonable and efficient, and matches the enterprise goal.
6. A budget control method based on the budget target calculation method based on multi-scenario dynamic analysis according to any one of claims 1-5, characterized in that, Including: Multi-version and multi-scene budget total estimation: Firstly, compare the cost regulation estimation index value with the industry benchmark estimation index value, take the industry benchmark value as the benchmark, locate the index whose cost regulation estimation value deviates greatly, and adjust the corresponding cost regulation index business volume to make the index value reach the expected target; Secondly, compare the historical scene estimation index value with the cost regulation scene estimation index value, take the cost regulation scene estimation value as the benchmark, locate the index whose historical scene estimation value deviates, and adjust the basic data through downward drilling to make the historical scene index estimation value meet the cost regulation requirement; Finally, by comparing the deviation between the budget year preparation budget and the historical scene estimation value, adjust the budget preparation, and finally form a budget that meets the requirements of industry development and regulation cost control target; Multi-version project total estimation: Project total estimation will be based on the corresponding version of budget total estimation, and will be executed according to the estimation results to determine the project range; Three-year budget target estimation: On the basis of completing the multi-version and multi-scene estimation process, select a specific version and scene to estimate the target value of the next three years.
7. A budget target measurement system based on multi-scenario dynamic analysis, characterized in that, Including budget total estimation module and project total estimation module; The budget total estimation module comprises: The historical scenario estimation module is configured to estimate annual historical scenario budget totals and historical scenario generated index values in multiple ways based on budget subjects; The cost regulation scenario estimation module is configured to estimate various cost regulation index values and regulation cost totals by using a cost regulation calculation algorithm based on cost regulation index basis information; the cost regulation index basis information comprises regulation cost standards and actual business volumes; The industry benchmarking scenario estimation module is configured to compare with industry index data based on the benchmarking method, display the current position of the company in the industry, and analyze the causes of problems and adjustment directions according to the comparison; The project total estimation module is configured to estimate project available amounts and determine projects that can be included in the budget range based on non-project budget values in budget preparation and historical scenario estimation totals.
8. A budget control system based on the budget target measurement system based on multi-scenario dynamic analysis of claim 7, characterized in that, Comprise: The multi-version and multi-scenario budget total estimation module is configured to: First, compare the cost regulation estimation index values with the industry benchmarking estimation index values, take the industry benchmarking values as the benchmark, locate the index values with large deviations from the cost regulation estimation values, and adjust the corresponding cost regulation index values to the expected target by reducing or increasing the business volumes of the corresponding cost regulation index values; Second, compare the historical scenario estimation index values with the cost regulation scenario estimation index values, take the cost regulation scenario estimation values as the benchmark, locate the index values with deviations from the historical scenario estimation values, and adjust the basis data by drilling down to make the historical scenario index estimation values meet the cost regulation requirements; Finally, compare the deviations between the budget preparation budget and the historical scenario estimation values, adjust the budget preparation, and finally form a budget that meets the industry development requirements and regulation cost control targets; The multi-version project total estimation module is configured to: The project total estimation is based on the corresponding version of the budget total estimation, and the project range is determined according to the estimation results; The future three-year budget target estimation module is configured to: On the basis of completing the multi-version and multi-scenario estimation process, select a specific version and scenario to estimate the target values of the next three years.
9. An electronic device, comprising: Comprise: A memory and a processor, the memory is used to store a computer program, and the processor runs the computer program to make the electronic device execute the budget target estimation method based on multi-scenario dynamic analysis in any one of claims 1 to 5 or execute the budget control method in claim 6.
10. A computer-readable storage medium, characterized in that, It stores a computer program, and the computer program is executed by the processor to realize the budget target estimation method based on multi-scenario dynamic analysis in any one of claims 1 to 5 or execute the budget control method in claim 6.