WO2020019496A1 - 部门分析方法及装置、计算机装置及存储介质 - Google Patents

部门分析方法及装置、计算机装置及存储介质 Download PDF

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Publication number
WO2020019496A1
WO2020019496A1 PCT/CN2018/108116 CN2018108116W WO2020019496A1 WO 2020019496 A1 WO2020019496 A1 WO 2020019496A1 CN 2018108116 W CN2018108116 W CN 2018108116W WO 2020019496 A1 WO2020019496 A1 WO 2020019496A1
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department
business
data
revenue
current
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PCT/CN2018/108116
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English (en)
French (fr)
Inventor
陈巧珍
李聪
姚悦
朱艳永
吴洁梅
赵妍
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平安科技（深圳）有限公司
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Publication of WO2020019496A1 publication Critical patent/WO2020019496A1/zh

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis

Definitions

  • the present application relates to the field of data analysis technology, and in particular, to a department analysis method and device, a computer device, and a readable storage medium.
  • a first aspect of the present application provides a sector analysis method, the method comprising:
  • a second aspect of the present application provides a department analysis device, where the device includes:
  • An acquisition unit which is used to acquire original operating data of each department of the same type in the enterprise
  • a statistics unit configured to collect statistics on operating indicators of each department according to the obtained original operating data of each department
  • An analysis unit configured to analyze the operation indicators of the various departments and obtain the operation evaluation results of the various departments
  • a display unit is configured to display the operation evaluation results of the various departments.
  • a third aspect of the present application provides a computer apparatus including a processor, where the processor is configured to implement the department analysis method when executing computer-readable instructions stored in a memory.
  • a fourth aspect of the present application provides a non-volatile readable storage medium on which computer-readable instructions are stored, and the computer-readable instructions implement the department analysis method when executed by a processor.
  • This application obtains the original operating data of each department of the same type in the enterprise; statistics on the operating indicators of each department according to the obtained raw operating data of each department; analyzes the operating indicators of each department to obtain the Business evaluation results; display the business evaluation results of each department.
  • the invention analyzes the operation data of multiple departments of the same type, and intuitively shows the operation of various departments of the same type.
  • FIG. 1 is a flowchart of a department analysis method according to an embodiment of the present application.
  • FIG. 2 is a structural diagram of a department analysis device provided in an embodiment of the present application.
  • FIG. 3 is a schematic diagram of a computer device according to an embodiment of the present application.
  • the departmental analysis method of the present application is applied in one or more computer devices.
  • the computer device is a device capable of automatically performing numerical calculations and / or information processing in accordance with instructions set or stored in advance.
  • the hardware includes, but is not limited to, a microprocessor and an Application Specific Integrated Circuit (ASIC). , Programmable Gate Array (Field-Programmable Gate Array, FPGA), Digital Processor (Digital Signal Processor, DSP), Embedded Equipment, etc.
  • ASIC Application Specific Integrated Circuit
  • the computer device may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.
  • the computer device can perform human-computer interaction with a user through a keyboard, a mouse, a remote control, a touch pad, or a voice control device.
  • FIG. 1 is a flowchart of a department analysis method provided in Embodiment 1 of the present application.
  • the sector analysis method is applied to a computer device.
  • the department analysis method performs business analysis on each department of the same type in the enterprise, and obtains the operation evaluation results of each department.
  • the department analysis method specifically includes the following steps:
  • Step 101 Obtain original operation data of each department of the same type in the enterprise.
  • the types of departments can be divided according to the products involved, and the departments involving the same or the same type of products belong to the same type, such as including the first product category, the second product category, and the third product category.
  • the types of departments can be divided according to their functions. Departments with the same function belong to the same type, for example, they include the first function category, the second function category, and the third function category.
  • the types of departments may include basic operations and innovation incubation. This application makes a horizontal comparison of various departments of the same type in an enterprise (generally a large and medium-sized enterprise), and intuitively grasps the operating conditions of various departments of the same type.
  • the original operation data may include original manpower data, original financial data, original R & D data, original market sales data, original business data, and the like.
  • the raw manpower data can include the actual working hours, standard working hours, the number of applicants, the number of hires, the number of employees, the number of employees leaving, the number of employees at the beginning, and the number of employees at the end of a period.
  • the original financial data can include net profit, sales income, operating profit, operating income, total profit, total cost, etc. for a specified period (for example, monthly).
  • the raw R & D data may include the R & D demand, demand completion, etc. for a specified period (for example, monthly).
  • the original market sales data can include the name of the expanded customer, the name of the expanding customer, the sales amount of each customer, and so on.
  • the original operation data may further include original service data, such as a service name, a service type, income data, and expenditure data of each sub-service of each department.
  • the original service data includes historical service data and current service data.
  • It can interface with the business system of the enterprise and obtain the original operational data from the business system. For example, the actual working hours and standard working hours of employees in various departments are obtained from the daily reporting system of the enterprise.
  • the original operation data may be obtained from a designated database.
  • the user can periodically import the raw operation data of each department into the designated database.
  • the original operation data uploaded by the user may be received.
  • Step 102 Calculate the operation indicators of each department according to the obtained original operation data of each department.
  • statistics of the operation indicators of each department may include performing statistics on the original manpower data to obtain a manpower operation indicator.
  • Hiring rate (Number of hires ⁇ number of candidates) ⁇ 100%.
  • staff utilization rate (actual working hours ⁇ standard working hours) x 100%.
  • staff utilization rate (actual working hours ⁇ standard working hours) x 100%.
  • staff utilization rate (actual working hours ⁇ standard working hours) x 100%.
  • Statistics on the operating indicators of each department according to the original operating data may also include statistics on the original financial data to obtain financial operating indicators.
  • the cost expense profit margin (total profit ⁇ total cost expense) ⁇ 100%. The larger the ratio, the higher the operating efficiency of the enterprise.
  • Statistics on the operating indicators of various departments according to the original operating data may also include statistics on the original R & D data to obtain R & D operating indicators.
  • the operating indicators may also include the product penetration rate, the timely completion rate of demand, and the number of failures.
  • the statistics of the operating indicators of each department based on the obtained original operating data of each department may further include the original business data of each department (that is, the historical business data of each department and Current business data) to calculate the health of each department, which may specifically include:
  • a sub-service whose main business type is a main business may be obtained from the historical service data as the main business.
  • a sub-service with a designated mark for example, "main business" before the business name
  • the development stage may include a development period and a stable period.
  • the historical revenue ratio of the main business of each department may be determined according to the historical business data of each department, and the development in which each department is located is determined according to the historical revenue ratio of the main business of each department stage.
  • the historical revenue ratio of the main business of the department is greater than or equal to the first revenue ratio (for example, 75%), it is determined that the department is in the development period;
  • the historical revenue proportion of the main business of the department is less than the first revenue proportion and within a preset error range (for example, ⁇ 5%) of the second revenue proportion (for example, 50%), the department is determined In a stable period.
  • the first revenue ratio is greater than the second revenue ratio.
  • the current revenue data and current expenditure data of each sub-business can be obtained from the current business data; the current revenue data of each sub-business is determined based on the current revenue data and current expenditure data of each sub-business; The current revenue data of each sub-service determines the current revenue proportion of the main business.
  • the health of each department can be determined as follows:
  • the department is in a stable period and the current revenue share of the main business of the department is within the preset error range of the second revenue share, the department is currently developing healthily; or
  • the corresponding operating indicators can be different.
  • Step 103 Analyze the operation indicators of the various departments to obtain the operation evaluation results of the various departments.
  • the operation index of each department may be compared with a preset reference value to obtain the operation evaluation result of each department.
  • Each business indicator corresponds to a reference value.
  • the reference value of staff utilization rate is 90-100%. If the staff utilization rate of a department is within the reference value range, it indicates that the efficiency of the department is high, and the operation evaluation result of the department efficiency is obtained. Within the range of the reference value in the utilization step (below or higher than the reference value), it means that the department is inefficient or has a lot of overtime hours. Evaluation results.
  • the operation score of each department may be calculated according to the operation index of the department and a preset reference value. For example, for each department, the difference between each operating indicator of the department and the corresponding reference value can be calculated, the score of the operating indicator can be determined according to the difference, and the score can be calculated according to the score of each operating indicator and a preset weight Department's operating score.
  • the score of the personnel utilization rate is 100; the larger the difference from the reference value, the lower the score of the personnel utilization rate.
  • the weights corresponding to different operating indicators can be the same. For example, it includes five business indicators, and each business indicator corresponds to a weight of 20%.
  • the weights corresponding to different operating indicators can also be different.
  • the importance levels of different business indicators may be set in advance, and the weights of the business indicators may be determined according to the importance levels.
  • an average operation indicator may be calculated according to the operation indicators of the various departments, and the operation indicators of the various departments may be compared with the average operation to obtain the operation evaluation results of the various departments. For example, if the demand realization rate of a department is lower than the average demand realization rate, it indicates that the demand realization rate of the department is lower than the average.
  • Step 104 Display the operation evaluation results of the various departments.
  • a department analysis display interface may be generated, and the business evaluation results of the various departments are displayed on the department analysis display interface.
  • the business evaluation results of the various departments may be sorted, and the business evaluation results of the various departments may be displayed according to the sorted results. For example, the operation scores of the various departments may be sorted, and the department with the higher operation score may be displayed first, and the department with the lower operation score may be displayed backward.
  • the operation indicators of the various departments may also be displayed, which is convenient for users to check one by one.
  • the department analysis method of Embodiment 1 obtains the original operation data of each department of the same type in the enterprise; statistics the operation indicators of each department according to the obtained original operation data of each department; analyzes the operation indicators of each department to obtain The operation evaluation result of each department; and the operation evaluation result of each department is displayed.
  • the embodiment analyzes the operation data of multiple departments of the same type to intuitively show the operation status of each department of the same type.
  • the department analysis method may further include: outputting recommendation information according to a result of the business evaluation of each department.
  • a correspondence table between different business evaluation results and recommendation information may be set in advance, and corresponding recommendation information is obtained from the correspondence relationship table according to the business evaluation results of the respective departments, and the recommendation information is output.
  • the department analysis method may further include: sending the operation evaluation result of each department to a preset contact.
  • the operation evaluation results of the various departments may be sent to preset contacts by means of email, short message, WeChat and the like.
  • FIG. 2 is a structural diagram of a department analysis device provided in Embodiment 2 of the present application.
  • the department analysis device 10 may include: an obtaining unit 201, a statistics unit 202, an analysis unit 203, and a display unit 204.
  • the obtaining unit 201 is configured to obtain original operation data of each department of the same type in an enterprise.
  • the types of departments can be divided according to the products involved, and the departments involving the same or the same type of products belong to the same type, such as including the first product category, the second product category, and the third product category.
  • the types of departments can be divided according to their functions. Departments with the same function belong to the same type, for example, they include the first function category, the second function category, and the third function category.
  • the types of departments may include basic operations and innovation incubation. This application makes a horizontal comparison of various departments of the same type in an enterprise (generally a large and medium-sized enterprise), and intuitively grasps the operating conditions of the various types of departments.
  • the original operation data may include original manpower data, original financial data, original R & D data, original market sales data, original business data, and the like.
  • the raw manpower data can include the actual working hours, standard working hours, the number of applicants, the number of employees, the number of employees, the number of employees leaving, the number of employees at the beginning of the period, and the number of employees at the end of the period.
  • the original financial data can include net profit, sales income, operating profit, operating income, total profit, total cost, etc. for a specified period (for example, monthly).
  • the original R & D data may include R & D demand, demand completion, etc. for a specified period (for example, monthly).
  • the original market sales data can include the name of the expanded customer, the name of the expanding customer, the sales amount of each customer, and so on.
  • the original operation data may further include original service data, such as a service name, a service type, income data, and expenditure data of each sub-service of each department.
  • the original service data includes historical service data and current service data.
  • It can interface with the business system of the enterprise and obtain the original operational data from the business system. For example, the actual working hours and standard working hours of employees in various departments are obtained from the daily reporting system of the enterprise.
  • the original operation data may be obtained from a designated database.
  • the user can periodically import the raw operation data of each department into the designated database.
  • the original operation data uploaded by the user may be received.
  • the statistics unit 202 is configured to collect statistics on the operation indicators of each department according to the obtained original operation data of the department.
  • statistics of the operation indicators of each department may include performing statistics on the original manpower data to obtain a manpower operation indicator.
  • Hiring rate (Number of hires ⁇ number of candidates) ⁇ 100%.
  • staff utilization rate (actual working hours ⁇ standard working hours) x 100%.
  • staff utilization rate (actual working hours ⁇ standard working hours) x 100%.
  • staff utilization rate (actual working hours ⁇ standard working hours) x 100%.
  • Statistics on the operating indicators of each department according to the original operating data may also include statistics on the original financial data to obtain financial operating indicators.
  • the cost expense profit margin (total profit ⁇ total cost expense) ⁇ 100%. The larger the ratio, the higher the operating efficiency of the enterprise.
  • Statistics on the operating indicators of various departments according to the original operating data may also include statistics on the original R & D data to obtain R & D operating indicators.
  • the operating indicators may also include the product penetration rate, the timely completion rate of demand, and the number of failures.
  • the statistics of the operating indicators of each department based on the obtained original operating data of each department may further include the original business data of each department (that is, the historical business data of each department and Current business data) to calculate the health of each department, which may specifically include:
  • a sub-service whose main business type is a main business may be obtained from the historical service data as the main business.
  • a sub-service with a designated mark for example, "main business" before the business name
  • the development stage may include a development period and a stable period.
  • the historical revenue ratio of the main business of each department may be determined according to the historical business data of each department, and the development in which each department is located is determined according to the historical revenue ratio of the main business of each department stage.
  • the historical revenue ratio of the main business of the department is greater than or equal to the first revenue ratio (for example, 75%), it is determined that the department is in the development period;
  • the historical revenue proportion of the main business of the department is less than the first revenue proportion and within a preset error range (for example, ⁇ 5%) of the second revenue proportion (for example, 50%), the department is determined In a stable period.
  • the first revenue ratio is greater than the second revenue ratio.
  • the current revenue data and current expenditure data of each sub-business can be obtained from the current business data; the current revenue data of each sub-business is determined based on the current revenue data and current expenditure data of each sub-business; The current revenue data of each sub-service determines the current revenue proportion of the main business.
  • the health of each department can be determined as follows:
  • the department is in a stable period and the current revenue share of the main business of the department is within the preset error range of the second revenue share, the department is currently developing healthily; or
  • the corresponding operating indicators can be different.
  • the analysis unit 203 is configured to analyze the operation indicators of the various departments to obtain the operation evaluation results of the various departments.
  • the operation index of each department may be compared with a preset reference value to obtain the operation evaluation result of each department.
  • Each business indicator corresponds to a reference value.
  • the reference value of staff utilization rate is 90-100%. If the staff utilization rate of a department is within the reference value range, it indicates that the efficiency of the department is high, and the operation evaluation result of the department efficiency is obtained. Within the range of the reference value in the utilization step (below or higher than the reference value), it means that the department is inefficient or has a lot of overtime hours. Evaluation results.
  • the operation score of each department may be calculated according to the operation index of the department and a preset reference value. For example, for each department, the difference between each operating indicator of the department and the corresponding reference value can be calculated, the score of the operating indicator can be determined according to the difference, and the score can be calculated based on the score of each operating indicator and a preset weight. Department's operating score.
  • the score of the personnel utilization rate is 100; the larger the difference from the reference value, the lower the score of the personnel utilization rate.
  • the weights corresponding to different operating indicators can be the same. For example, it includes five business indicators, and each business indicator corresponds to a weight of 20%.
  • the weights corresponding to different operating indicators can also be different.
  • the importance levels of different business indicators may be set in advance, and the weights of the business indicators may be determined according to the importance levels.
  • an average operation index may be calculated according to the operation index of each department, and the operation index of each department may be compared with the average operation to obtain the operation evaluation result of each department. For example, if the demand realization rate of a department is lower than the average demand realization rate, it indicates that the demand realization rate of the department is lower than the average.
  • the display unit 204 is configured to display the operation evaluation results of the various departments.
  • a department analysis display interface may be generated, and the business evaluation results of the various departments are displayed on the department analysis display interface.
  • the business evaluation results of the various departments may be sorted, and the business evaluation results of the various departments may be displayed according to the sorted results. For example, the operation scores of the various departments may be sorted, and the department with the higher operation score may be displayed first, and the department with the lower operation score may be displayed backward.
  • the operation indicators of the various departments may also be displayed, which is convenient for users to check one by one.
  • the department analysis device 10 of Embodiment 2 obtains the original operation data of each department of the same type in the enterprise; statistics the operation indicators of each department according to the obtained original operation data of each department; The operation evaluation results of the various departments are obtained; the operation evaluation results of the various departments are displayed.
  • the second embodiment analyzes the operation data of multiple departments of the same type, and intuitively shows the operation status of each department of the same type.
  • the department analysis device 10 may further include: an output unit, configured to output recommendation information according to the operation evaluation results of the respective departments.
  • An output unit configured to output recommendation information according to the operation evaluation results of the respective departments.
  • a correspondence table between different business evaluation results and recommendation information may be set in advance, and corresponding recommendation information is obtained from the correspondence relationship table according to the business evaluation results of the respective departments, and the recommendation information is output.
  • the department analysis device 10 may further include: a sending unit, configured to send the operation evaluation result of each department to a preset contact.
  • the operation evaluation results of the various departments may be sent to preset contacts by means of email, short message, WeChat and the like.
  • This embodiment provides a non-volatile readable storage medium.
  • Computer-readable instructions are stored on the non-volatile readable storage medium.
  • the computer-readable instructions are executed by a processor, the foregoing department analysis method embodiment is implemented. Steps, such as steps 101-104 shown in Figure 1:
  • Step 101 Obtain original operation data of each department of the same type in the enterprise
  • Step 102 Calculate the operation indicators of each department according to the obtained original operation data of each department;
  • Step 103 Analyze the operation indicators of the various departments to obtain the operation evaluation results of the various departments;
  • Step 104 Display the operation evaluation results of the various departments.
  • the obtaining unit 201 is configured to obtain original operation data of each department of the same type in the enterprise;
  • the statistics unit 202 is configured to collect statistics on the operation indicators of each department according to the obtained original operation data of each department;
  • An analysis unit 203 is configured to analyze the operation indicators of the various departments to obtain the operation evaluation results of the various departments;
  • the display unit 204 is configured to display the operation evaluation results of the various departments.
  • FIG. 3 is a schematic diagram of a computer device according to a fourth embodiment of the present application.
  • the computer device 1 includes a memory 20, a processor 30, and computer-readable instructions 40 stored in the memory 20 and executable on the processor 30, such as a department analysis program.
  • the processor 30 executes the computer-readable instructions 40, the steps in the embodiment of the department analysis method described above are implemented, for example, steps 101-104 shown in FIG. 1:
  • Step 101 Obtain original operation data of each department of the same type in the enterprise
  • Step 102 Calculate the operation indicators of each department according to the obtained original operation data of each department;
  • Step 103 Analyze the operation indicators of the various departments to obtain the operation evaluation results of the various departments;
  • Step 104 Display the operation evaluation results of the various departments.
  • the obtaining unit 201 is configured to obtain original operation data of each department of the same type in the enterprise;
  • the statistics unit 202 is configured to collect statistics on the operation indicators of each department according to the obtained original operation data of each department;
  • An analysis unit 203 is configured to analyze the operation indicators of the various departments to obtain the operation evaluation results of the various departments;
  • the display unit 204 is configured to display the operation evaluation results of the various departments.
  • the computer-readable instructions 40 may be divided into one or more modules / units, the one or more modules / units are stored in the memory 20 and executed by the processor 30, To complete this application.
  • the one or more modules / units may be a series of computer-readable instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer-readable instructions 40 in the computer device 1.
  • the computer-readable instructions 40 may be divided into an obtaining unit 201, a statistics unit 202, an analysis unit 203, and a display unit 204 in FIG. 2. For specific functions of each unit, refer to the second embodiment.
  • the computer device 1 may be a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.
  • a computing device such as a desktop computer, a notebook, a palmtop computer, and a cloud server.
  • the schematic diagram 3 is only an example of the computer device 1, and does not constitute a limitation on the computer device 1. It may include more or fewer components than shown in the figure, or some components may be combined or different.
  • the components, for example, the computer apparatus 1 may further include an input-output device, a network access device, a bus, and the like.
  • the so-called processor 30 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), Ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.
  • the general-purpose processor may be a microprocessor, or the processor 30 may be any conventional processor, etc.
  • the processor 30 is a control center of the computer device 1 and uses various interfaces and lines to connect the entire computer device 1 Various parts.
  • the memory 20 may be configured to store the computer-readable instructions 40 and / or modules / units, and the processor 30 may execute or execute the computer-readable instructions and / or modules / units stored in the memory 20, and
  • the data stored in the memory 20 is called to implement various functions of the computer device 1.
  • the memory 20 may mainly include a storage program area and a storage data area, where the storage program area may store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.), etc .; the storage data area may Data (such as audio data, phone book, etc.) created according to the use of the computer device 1 are stored.
  • the memory 20 may include a high-speed random access memory, and may also include a non-volatile memory, such as a hard disk, an internal memory, a plug-in hard disk, a Smart Memory Card (SMC), and a Secure Digital (SD).
  • a non-volatile memory such as a hard disk, an internal memory, a plug-in hard disk, a Smart Memory Card (SMC), and a Secure Digital (SD).
  • SSD Secure Digital
  • flash memory card Flash card
  • flash memory device at least one disk storage device, flash memory device, or other volatile solid-state storage device.
  • the modules / units integrated in the computer device 1 When the modules / units integrated in the computer device 1 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile readable storage medium. Based on this understanding, this application implements all or part of the processes in the methods of the above embodiments, and can also be completed by computer-readable instructions instructing related hardware.
  • the computer-readable instructions can be stored in a non-volatile memory. In the read storage medium, when the computer-readable instructions are executed by a processor, the steps of the foregoing method embodiments can be implemented.
  • the computer-readable instruction code may be in a source code form, an object code form, an executable file, or some intermediate form.
  • the non-volatile readable medium may include: any entity or device capable of carrying the computer-readable instruction code, a recording medium, a U disk, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), electric carrier signals, telecommunication signals, and software distribution media.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • electric carrier signals telecommunication signals
  • telecommunication signals and software distribution media.
  • the content contained in the non-volatile readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdictions. For example, in some jurisdictions, according to legislation and patent practices, non- Volatile readable media does not include electrical carrier signals and telecommunication signals.
  • each functional unit in each embodiment of the present application may be integrated in the same processing unit, or each unit may exist separately physically, or two or more units may be integrated in the same unit.
  • the integrated unit can be implemented in the form of hardware, or in the form of hardware plus software functional modules.

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Abstract

一种部门分析方法，包括：获取企业内同一类型的各个部门的原始运营数据（101）；根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标（102）；分析所述各个部门的经营指标，得到所述各个部门的经营评价结果（103）；显示所述各个部门的经营评价结果（104）。还提供一种部门分析装置、计算机装置及非易失性可读存储介质。该方法可以直观展示同一类型的各个部门的运营情况。

Description

部门分析方法及装置、计算机装置及存储介质
本申请要求于2018年07月27日提交中国专利局，申请号为201810846432.2发明名称为“部门分析方法及装置、计算机装置及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及数据分析技术领域，具体涉及一种部门分析方法及装置、计算机装置和可读存储介质。
背景技术
目前，很多大中型企业具有部门数量庞大、部门类型多样的特点，如何对企业的各个部门进行分析，以便掌握各个部门的运营情况，成为亟需解决的问题。
发明内容
鉴于以上内容，有必要提出一种部门分析方法及装置、计算机装置和可读存储介质，其可以直观展示同一类型的各个部门的运营情况。
本申请的第一方面提供一种部门分析方法，所述方法包括：
获取企业内同一类型的各个部门的原始运营数据；
根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
显示所述各个部门的经营评价结果。
本申请的第二方面提供一种部门分析装置，所述装置包括：
获取单元，用于获取企业内同一类型的各个部门的原始运营数据；
统计单元，用于根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
分析单元，用于分析所述各个部门的经营指标，得到所述各个部门的经 营评价结果；
显示单元，用于显示所述各个部门的经营评价结果。
本申请的第三方面提供一种计算机装置，所述计算机装置包括处理器，所述处理器用于执行存储器中存储的计算机可读指令时实现所述部门分析方法。
本申请的第四方面提供一种非易失性可读存储介质，其上存储有计算机可读指令，所述计算机可读指令被处理器执行时实现所述部门分析方法。
本申请获取企业内同一类型的各个部门的原始运营数据；根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；显示所述各个部门的经营评价结果。发明对同一类型的多个部门的运营数据进行分析，直观地展示同一类型的各个部门的运营情况。
附图说明
图1是本申请实施例提供的部门分析方法的流程图。
图2是本申请实施例提供的部门分析装置的结构图。
图3是本申请实施例提供的计算机装置的示意图。
具体实施方式
为了能够更清楚地理解本申请的上述目的、特征和优点，下面结合附图和具体实施例对本申请进行详细描述。需要说明的是，在不冲突的情况下，本申请的实施例及实施例中的特征可以相互组合。
在下面的描述中阐述了很多具体细节以便于充分理解本申请，所描述的实施例仅仅是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本申请保护的范围。
除非另有定义，本文所使用的所有的技术和科学术语与属于本申请的技术领域的技术人员通常理解的含义相同。本文中在本申请的说明书中所使用的术语只是为了描述具体的实施例的目的，不是旨在于限制本申请。
优选地，本申请的部门分析方法应用在一个或者多个计算机装置中。所述计算机装置是一种能够按照事先设定或存储的指令，自动进行数值计算和/或信息处理的设备，其硬件包括但不限于微处理器、专用集成电路(Application Specific Integrated Circuit，ASIC)、可编程门阵列(Field－Programmable Gate Array，FPGA)、数字处理器(Digital Signal Processor，DSP)、嵌入式设备等。
所述计算机装置可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。所述计算机装置可以与用户通过键盘、鼠标、遥控器、触摸板或声控设备等方式进行人机交互。
实施例一
图1是本申请实施例一提供的部门分析方法的流程图。所述部门分析方法应用于计算机装置。所述部门分析方法对企业内同一类型的各个部门进行经营分析，获得各个部门的经营评价结果。
如图1所示，所述部门分析方法具体包括以下步骤：
步骤101，获取企业内同一类型的各个部门的原始运营数据。
可以根据需要划分部门的类型。例如，可以按照涉及的产品划分部门的类型，涉及同一个或同一类产品的部门属于同一个类型，例如包括第一产品类、第二产品类、第三产品类等。又如，可以按照部门的职能划分部门的类型，同一职能的部门属于同一类型，例如包括第一职能类、第二职能类、第三职能类等。在一具体实施例中，部门的类型可以包括基础运营类和创新孵化类。本申请对企业(一般为大中型企业)内同一类型的各个部门进行横向对比，直观地掌握同一类型的各个部门的运营情况。
所述原始运营数据可以包括原始人力数据、原始财务数据、原始研发数据、原始市场销售数据、原始业务数据等。
原始人力数据可以包括员工的实际工时、标准工时、指定时期(例如每月)的应聘人数、录用人数、入职人数、离职人数、期初人数、期末人数等。
原始财务数据可以包括指定时期(例如每月)的净利润、销售收入、营业利润、营业收入、利润总额、成本费用总额等。
原始研发数据可以包括指定时期(例如每月)的研发需求量、需求完成 量等。
原始市场销售数据可以包括已拓展的客户名称、拓展中的客户名称、各个客户的销售金额等。
所述原始运营数据还可以包括原始业务数据，例如各个部门的各个子业务的业务名称、业务类型、收入数据、支出数据等。所述原始业务数据包括历史业务数据和当前业务数据。
可以与企业的业务系统对接，从所述业务系统获取所述原始运营数据。例如，从企业的日报系统获取各个部门员工的实际工时、标准工时。
或者，可以从指定数据库获取所述原始运营数据。用户可以定期将各个部门的原始运营数据导入所述指定数据库。
或者，可以接收用户上传的所述原始运营数据。
步骤102，根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标。
根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标可以包括对原始人力数据进行统计获得人力经营指标。
例如，可以根据应聘人数、录用人数计算录用率。可以按照以下公式计算：录用率＝(录用人数÷应聘人数)×100％。
又如，根据离职人数、在册人数计算离职率。可以按照以下公式计算：离职率＝(离职人数÷(入职人数+期初人数))×100％。
再如，可以计算人员利用率。可以按照以下公式计算：人员利用率＝(实际工时÷标准工时)×100％。可以计算企业各个部门的平均实际工时与平均标准工时，根据各个部门的平均实际工时与平均标准工时计算各个部门的平均人员利用率。例如，某个部门的平均实际工时为7.5，平均标准工时为8，则平均人员利用率为7.5/8×100％＝93.75％。
根据原始运营数据统计各个部门的经营指标还可以包括对原始财务数据进行统计获得财务经营指标。
例如，根据净利润、销售收入计算销售净利率，销售净利率＝(净利润÷销售收入)×100％。该比率越大，企业的盈利能力越强。
又如，根据营业利润、营业收入计算，营业利润率营业利润率＝(营业利 润÷营业收入)×100％。该比率越大，企业的盈利能力越强。
再如，根据利润总额、成本费用总额计算成本费用利润率，成本费用利润率＝(利润总额÷成本费用总额)×100％。该比率越大，企业的经营效益越高。
根据原始运营数据统计各个部门的经营指标还可以包括对原始研发数据进行统计获得研发经营指标。
例如，根据研发需求量、需求完成量计算需求实现率。可以按照以下公式计算：需求实现率＝(研发需求量÷需求完成量)×100％。
所述经营指标还可以包括产品普及率、需求及时完成率、故障次数等。
在本实施例中，所述根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标还可以包括根据所述各个部门的原始业务数据(即所述各个部门的历史业务数据和当前业务数据)计算所述各个部门的健康度，具体可以包括：
(1)根据所述各个部门的历史业务数据确定所述各个部门的主营业务。
可以从所述历史业务数据中获取业务类型为主营的子业务作为所述主营业务。或者，可以从所述历史业务数据中获取带有指定标记(例如业务名称前带有“主营业务”字样)的子业务作为所述主营业务。
(2)根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段。
所述发展阶段可以包括发展期和稳定期。
可以根据所述各个部门的历史业务数据确定所述各个部门的主营业务的历史营收占比，根据所述各个部门的主营业务的历史营收占比确定所述各个部门所处的发展阶段。
具体地，对于所述各个部门中的任一部门，若该部门的主营业务的历史营收占比大于或者等于第一营收占比(例如75％)，确定该部门处于发展期；若该部门的主营业务的历史营收占比小于所述第一营收占比且在第二营收占比(例如50％)的预设误差范围(例如±5％)内，确定该部门处于稳定期。所述第一营收占比大于所述第二营收占比。
(3)根据所述各个部门的当前业务数据计算所述各个部门的主营业务的当前营收占比。
对于每个部门，可以从所述当前业务数据中获取各个子业务的当前收入数据及当前支出数据；根据各个子业务的当前收入数据及当前支出数据，确定各个子业务的当前营收数据；根据所述各个子业务的当前营收数据，确定所述主营业务的当前营收占比。
(4)根据所述各个部门所处的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度。
所述各个部门的健康度可以确定如下：
对于所述各个部门中的任一部门，若该部门处于发展期，且该部门的主营业务的当前营收占比大于或者等于所述第一营收占比，则该部门当前发展健康；
若该部门处于发展期，且该部门的主营业务的当前营收占比小于所述第一营收占比，则该部门当前发展不健康；
若该部门处于稳定期，且该部门的主营业务的当前营收占比在所述第二营收占比的预设误差范围内，则该部门当前发展健康；或者
若该部门处于稳定期，且该部门的主营业务的当前营收占比不在所述第二营收占比的预设误差范围内，则该部门当前发展不健康。
对于不同类型的部门，对应的经营指标可以不同。
步骤103，分析所述各个部门的经营指标，得到所述各个部门的经营评价结果。
可以将所述各个部门的经营指标与预设的参考值进行比较，得到所述各个部门的经营评价结果。每个经营指标对应一个参考值。例如，人员利用率的参考值为90-100％，若一个部门的人员利用率在该参考值范围内，表示该部门的效率高，则得到部门效率高的经营评价结果；若该部门的人员利用率步骤所述参考值范围内(低于所述参考值或高于所述参考值)，表示该部门的效率低或加班时数多，则得到部门效率低或部门加班时数多的经营评价结果。
可以根据所述各个部门的经营指标与预设的参考值计算所述各个部门的经营评分。例如，对于每个部门，可以计算该部门的每个经营指标与对应参考值的差值，根据所述差值确定该经营指标的得分，根据每个经营指标的 得分和预设的权重计算该部门的经营评分。
例如，若人员利用率在参考值(例如90-100％)范围内，人员利用率的得分为100；与参考值的差值越大，人员利用率的得分越低。
不同经营指标对应的权重可以相同。例如，包括五个经营指标，每个经营指标对应的权重为20％。
不同经营指标对应的权重也可以不同。例如，可以预先设定不同经营指标的重要等级，根据所述重要等级确定经营指标的权重。
或者，可以根据所述各个部门的经营指标计算平均经营指标，将所述各个部门的经营指标与所述平均经营进行比较，得到所述各个部门的经营评价结果。例如，若一个部门的需求实现率低于的平均需求实现率，则提示该部门需求实现率低于平均值。
步骤104，显示所述各个部门的经营评价结果。
可以生成一个部门分析展示界面，在所述部门分析展示界面显示所述各个部门的经营评价结果。
可以对所述各个部门的经营评价结果进行排序，根据排序结果显示所述各个部门的经营评价结果。例如，可以对所述各个部门的经营评分进行排序，将经营评分高的部门靠前显示，将经营评分低的部门靠后显示。
在本实施例中，还可以显示所述各个部门的经营指标，方便用户逐一进行查看。
实施例一的部门分析方法获取企业内同一类型的各个部门的原始运营数据；根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；显示所述各个部门的经营评价结果。实施例一对同一类型的多个部门的运营数据进行分析，直观地展示同一类型的各个部门的运营情况。
在另一实施例中，所述部门分析方法还可以包括：根据所述各个部门的经营评价结果输出建议信息。可以预先设置不同的经营评价结果与建议信息的对应关系表，根据所述所述各个部门的经营评价结果从所述对应关系表中获取对应的建议信息，输出所述建议信息。
在另一实施例中，所述部门分析方法还可以包括：将所述各个部门的经 营评价结果发送给预设联系人。可以通过邮件、短信、微信等方式将所述各个部门的经营评价结果发送给预设联系人。
实施例二
图2为本申请实施例二提供的部门分析装置的结构图。如图2所示，所述部门分析装置10可以包括：获取单元201、统计单元202、分析单元203、显示单元204。
获取单元201，用于获取企业内同一类型的各个部门的原始运营数据。
可以根据需要划分部门的类型。例如，可以按照涉及的产品划分部门的类型，涉及同一个或同一类产品的部门属于同一个类型，例如包括第一产品类、第二产品类、第三产品类等。又如，可以按照部门的职能划分部门的类型，同一职能的部门属于同一类型，例如包括第一职能类、第二职能类、第三职能类等。在一具体实施例中，部门的类型可以包括基础运营类和创新孵化类。本申请对企业(一般为大中型企业)内同一类型的各个部门进行横向对比，直观地掌握同一类型的各个部门的运营情况。
所述原始运营数据可以包括原始人力数据、原始财务数据、原始研发数据、原始市场销售数据、原始业务数据等。
原始人力数据可以包括员工的实际工时、标准工时、指定时期(例如每月)的应聘人数、录用人数、入职人数、离职人数、期初人数、期末人数等。
原始财务数据可以包括指定时期(例如每月)的净利润、销售收入、营业利润、营业收入、利润总额、成本费用总额等。
原始研发数据可以包括指定时期(例如每月)的研发需求量、需求完成量等。
原始市场销售数据可以包括已拓展的客户名称、拓展中的客户名称、各个客户的销售金额等。
所述原始运营数据还可以包括原始业务数据，例如各个部门的各个子业务的业务名称、业务类型、收入数据、支出数据等。所述原始业务数据包括历史业务数据和当前业务数据。
可以与企业的业务系统对接，从所述业务系统获取所述原始运营数据。例如，从企业的日报系统获取各个部门员工的实际工时、标准工时。
或者，可以从指定数据库获取所述原始运营数据。用户可以定期将各个部门的原始运营数据导入所述指定数据库。
或者，可以接收用户上传的所述原始运营数据。
统计单元202，用于根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标。
根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标可以包括对原始人力数据进行统计获得人力经营指标。
例如，可以根据应聘人数、录用人数计算录用率。可以按照以下公式计算：录用率＝(录用人数÷应聘人数)×100％。
又如，根据离职人数、在册人数计算离职率。可以按照以下公式计算：离职率＝(离职人数÷(入职人数+期初人数))×100％。
再如，可以计算人员利用率。可以按照以下公式计算：人员利用率＝(实际工时÷标准工时)×100％。可以计算企业各个部门的平均实际工时与平均标准工时，根据各个部门的平均实际工时与平均标准工时计算各个部门的平均人员利用率。例如，某个部门的平均实际工时为7.5，平均标准工时为8，则平均人员利用率为7.5/8×100％＝93.75％。
根据原始运营数据统计各个部门的经营指标还可以包括对原始财务数据进行统计获得财务经营指标。
例如，根据净利润、销售收入计算销售净利率，销售净利率＝(净利润÷销售收入)×100％。该比率越大，企业的盈利能力越强。
又如，根据营业利润、营业收入计算，营业利润率营业利润率＝(营业利润÷营业收入)×100％。该比率越大，企业的盈利能力越强。
再如，根据利润总额、成本费用总额计算成本费用利润率，成本费用利润率＝(利润总额÷成本费用总额)×100％。该比率越大，企业的经营效益越高。
根据原始运营数据统计各个部门的经营指标还可以包括对原始研发数据进行统计获得研发经营指标。
例如，根据研发需求量、需求完成量计算需求实现率。可以按照以下公式计算：需求实现率＝(研发需求量÷需求完成量)×100％。
所述经营指标还可以包括产品普及率、需求及时完成率、故障次数等。
在本实施例中，所述根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标还可以包括根据所述各个部门的原始业务数据(即所述各个部门的历史业务数据和当前业务数据)计算所述各个部门的健康度，具体可以包括：
(1)根据所述各个部门的历史业务数据确定所述各个部门的主营业务。
可以从所述历史业务数据中获取业务类型为主营的子业务作为所述主营业务。或者，可以从所述历史业务数据中获取带有指定标记(例如业务名称前带有“主营业务”字样)的子业务作为所述主营业务。
(2)根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段。
所述发展阶段可以包括发展期和稳定期。
可以根据所述各个部门的历史业务数据确定所述各个部门的主营业务的历史营收占比，根据所述各个部门的主营业务的历史营收占比确定所述各个部门所处的发展阶段。
具体地，对于所述各个部门中的任一部门，若该部门的主营业务的历史营收占比大于或者等于第一营收占比(例如75％)，确定该部门处于发展期；若该部门的主营业务的历史营收占比小于所述第一营收占比且在第二营收占比(例如50％)的预设误差范围(例如±5％)内，确定该部门处于稳定期。所述第一营收占比大于所述第二营收占比。
(3)根据所述各个部门的当前业务数据计算所述各个部门的主营业务的当前营收占比。
对于每个部门，可以从所述当前业务数据中获取各个子业务的当前收入数据及当前支出数据；根据各个子业务的当前收入数据及当前支出数据，确定各个子业务的当前营收数据；根据所述各个子业务的当前营收数据，确定所述主营业务的当前营收占比。
(4)根据所述各个部门所处的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度。
所述各个部门的健康度可以确定如下：
对于所述各个部门中的任一部门，若该部门处于发展期，且该部门的主 营业务的当前营收占比大于或者等于所述第一营收占比，则该部门当前发展健康；
若该部门处于发展期，且该部门的主营业务的当前营收占比小于所述第一营收占比，则该部门当前发展不健康；
若该部门处于稳定期，且该部门的主营业务的当前营收占比在所述第二营收占比的预设误差范围内，则该部门当前发展健康；或者
若该部门处于稳定期，且该部门的主营业务的当前营收占比不在所述第二营收占比的预设误差范围内，则该部门当前发展不健康。
对于不同类型的部门，对应的经营指标可以不同。
分析单元203，用于分析所述各个部门的经营指标，得到所述各个部门的经营评价结果。
可以将所述各个部门的经营指标与预设的参考值进行比较，得到所述各个部门的经营评价结果。每个经营指标对应一个参考值。例如，人员利用率的参考值为90-100％，若一个部门的人员利用率在该参考值范围内，表示该部门的效率高，则得到部门效率高的经营评价结果；若该部门的人员利用率步骤所述参考值范围内(低于所述参考值或高于所述参考值)，表示该部门的效率低或加班时数多，则得到部门效率低或部门加班时数多的经营评价结果。
可以根据所述各个部门的经营指标与预设的参考值计算所述各个部门的经营评分。例如，对于每个部门，可以计算该部门的每个经营指标与对应参考值的差值，根据所述差值确定该经营指标的得分，根据每个经营指标的得分和预设的权重计算该部门的经营评分。
例如，若人员利用率在参考值(例如90-100％)范围内，人员利用率的得分为100；与参考值的差值越大，人员利用率的得分越低。
不同经营指标对应的权重可以相同。例如，包括五个经营指标，每个经营指标对应的权重为20％。
不同经营指标对应的权重也可以不同。例如，可以预先设定不同经营指标的重要等级，根据所述重要等级确定经营指标的权重。
或者，可以根据所述各个部门的经营指标计算平均经营指标，将所述各 个部门的经营指标与所述平均经营进行比较，得到所述各个部门的经营评价结果。例如，若一个部门的需求实现率低于的平均需求实现率，则提示该部门需求实现率低于平均值。
显示单元204，用于显示所述各个部门的经营评价结果。
可以生成一个部门分析展示界面，在所述部门分析展示界面显示所述各个部门的经营评价结果。
可以对所述各个部门的经营评价结果进行排序，根据排序结果显示所述各个部门的经营评价结果。例如，可以对所述各个部门的经营评分进行排序，将经营评分高的部门靠前显示，将经营评分低的部门靠后显示。
在本实施例中，还可以显示所述各个部门的经营指标，方便用户逐一进行查看。
实施例二的部门分析装置10获取企业内同一类型的各个部门的原始运营数据；根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；显示所述各个部门的经营评价结果。实施例二对同一类型的多个部门的运营数据进行分析，直观地展示同一类型的各个部门的运营情况。
在另一实施例中，所述部门分析装置10还可以包括：输出单元，用于根据所述各个部门的经营评价结果输出建议信息。可以预先设置不同的经营评价结果与建议信息的对应关系表，根据所述所述各个部门的经营评价结果从所述对应关系表中获取对应的建议信息，输出所述建议信息。
在另一实施例中，所述部门分析装置10还可以包括：发送单元，用于将所述各个部门的经营评价结果发送给预设联系人。可以通过邮件、短信、微信等方式将所述各个部门的经营评价结果发送给预设联系人。
实施例三
本实施例提供一种非易失性可读存储介质，该非易失性可读存储介质上存储有计算机可读指令，该计算机可读指令被处理器执行时实现上述部门分析方法实施例中的步骤，例如图1所示的步骤101-104：
步骤101，获取企业内同一类型的各个部门的原始运营数据；
步骤102，根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
步骤103，分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
步骤104，显示所述各个部门的经营评价结果。
或者，该计算机可读指令被处理器执行时实现上述装置实施例中各模块/单元的功能，例如图2中的单元201-204：
获取单元201，用于获取企业内同一类型的各个部门的原始运营数据；
统计单元202，用于根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
分析单元203，用于分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
显示单元204，用于显示所述各个部门的经营评价结果。
实施例四
图3为本申请实施例四提供的计算机装置的示意图。所述计算机装置1包括存储器20、处理器30以及存储在所述存储器20中并可在所述处理器30上运行的计算机可读指令40，例如部门分析程序。所述处理器30执行所述计算机可读指令40时实现上述部门分析方法实施例中的步骤，例如图1所示的步骤101-104：
步骤101，获取企业内同一类型的各个部门的原始运营数据；
步骤102，根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
步骤103，分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
步骤104，显示所述各个部门的经营评价结果。
或者，所述处理器30执行所述计算机可读指令40时实现上述装置实施例中各模块/单元的功能，例如图2中的单元201-204：
获取单元201，用于获取企业内同一类型的各个部门的原始运营数据；
统计单元202，用于根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
分析单元203，用于分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
显示单元204，用于显示所述各个部门的经营评价结果。
示例性的，所述计算机可读指令40可以被分割成一个或多个模块/单元，所述一个或者多个模块/单元被存储在所述存储器20中，并由所述处理器30执行，以完成本申请。所述一个或多个模块/单元可以是能够完成特定功能的一系列计算机可读指令段，该指令段用于描述所述计算机可读指令40在所述计算机装置1中的执行过程。例如，所述计算机可读指令40可以被分割成图2中的获取单元201、统计单元202、分析单元203、显示单元204，各单元具体功能参见实施例二。
所述计算机装置1可以是桌上型计算机、笔记本、掌上电脑及云端服务器等计算设备。本领域技术人员可以理解，所述示意图3仅仅是计算机装置1的示例，并不构成对计算机装置1的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件，例如所述计算机装置1还可以包括输入输出设备、网络接入设备、总线等。
所称处理器30可以是中央处理单元(Central Processing Unit，CPU)，还可以是其他通用处理器、数字信号处理器(Digital Signal Processor，DSP)、专用集成电路(Application Specific Integrated Circuit，ASIC)、现成可编程门阵列(Field-Programmable Gate Array，FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器30也可以是任何常规的处理器等，所述处理器30是所述计算机装置1的控制中心，利用各种接口和线路连接整个计算机装置1的各个部分。
所述存储器20可用于存储所述计算机可读指令40和/或模块/单元，所述处理器30通过运行或执行存储在所述存储器20内的计算机可读指令和/或模块/单元，以及调用存储在存储器20内的数据，实现所述计算机装置1的各种功能。所述存储器20可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能所需的应用程序(比如声音播放功 能、图像播放功能等)等；存储数据区可存储根据计算机装置1的使用所创建的数据(比如音频数据、电话本等)等。此外，存储器20可以包括高速随机存取存储器，还可以包括非易失性存储器，例如硬盘、内存、插接式硬盘，智能存储卡(Smart Media Card,SMC)，安全数字(Secure Digital,SD)卡，闪存卡(Flash Card)、至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
所述计算机装置1集成的模块/单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个非易失性可读取存储介质中。基于这样的理解，本申请实现上述实施例方法中的全部或部分流程，也可以通过计算机可读指令来指令相关的硬件来完成，所述的计算机可读指令可存储于一非易失性可读存储介质中，该计算机可读指令在被处理器执行时，可实现上述各个方法实施例的步骤。其中，所述计算机可读指令代码可以为源代码形式、对象代码形式、可执行文件或某些中间形式等。所述非易失性可读介质可以包括：能够携带所述计算机可读指令代码的任何实体或装置、记录介质、U盘、移动硬盘、磁碟、光盘、计算机存储器、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、电载波信号、电信信号以及软件分发介质等。需要说明的是，所述非易失性可读介质包含的内容可以根据司法管辖区内立法和专利实践的要求进行适当的增减，例如在某些司法管辖区，根据立法和专利实践，非易失性可读介质不包括电载波信号和电信信号。
在本申请所提供的几个实施例中，应该理解到，所揭露的计算机装置和方法，可以通过其它的方式实现。例如，以上所描述的计算机装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式。
另外，在本申请各个实施例中的各功能单元可以集成在相同处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在相同单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用硬件加软件功能模块的形式实现。
对于本领域技术人员而言，显然本申请不限于上述示范性实施例的细节， 而且在不背离本申请的精神或基本特征的情况下，能够以其他的具体形式实现本申请。因此，无论从哪一点来看，均应将实施例看作是示范性的，而且是非限制性的，本申请的范围由所附权利要求而不是上述说明限定，因此旨在将落在权利要求的等同要件的含义和范围内的所有变化涵括在本申请内。不应将权利要求中的任何附图标记视为限制所涉及的权利要求。此外，显然“包括”一词不排除其他单元或步骤，单数不排除复数。计算机装置权利要求中陈述的多个单元或计算机装置也可以由同一个单元或计算机装置通过软件或者硬件来实现。第一，第二等词语用来表示名称，而并不表示任何特定的顺序。
最后应说明的是，以上实施例仅用以说明本申请的技术方案而非限制，尽管参照较佳实施例对本申请进行了详细说明，本领域的普通技术人员应当理解，可以对本申请的技术方案进行修改或等同替换，而不脱离本申请技术方案的精神和范围。

Claims (20)

  1. 一种部门分析方法，其特征在于，所述方法包括：
    获取企业内同一类型的各个部门的原始运营数据；
    根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
    分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
    显示所述各个部门的经营评价结果。
  2. 如权利要求1所述的方法，其特征在于，所述原始运营数据包括原始人力数据、原始财务数据、原始研发数据、原始市场销售数据、原始业务数据。
  3. 如权利要求1所述的方法，其特征在于，所述原始运营数据包括历史业务数据和当前业务数据，所述根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标包括：
    根据所述各个部门的历史业务数据和当前业务数据计算所述各个部门的健康度，包括：
    根据所述各个部门的历史业务数据确定所述各个部门的主营业务；
    根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段；
    根据所述各个部门的当前业务数据计算所述各个部门的主营业务的当前营收占比；
    根据所述各个部门所处的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度。
  4. 如权利要求3所述的方法，其特征在于，所述根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段包括：
    根据所述各个部门的历史业务数据确定所述各个部门的主营业务的历史营收占比；
    对于所述各个部门中的任一部门，若该部门的主营业务的历史营收占比大于或者等于第一营收占比，确定该部门处于发展期；
    若该部门的主营业务的历史营收占比小于所述第一营收占比且在第二 营收占比的预设误差范围内，确定该部门处于稳定期，其中所述第一营收占比大于所述第二营收占比。
  5. 如权利要求4所述的方法，其特征在于，所述根据所述各个部门的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度包括：
    对于所述各个部门中的任一部门，若该部门处于发展期，且该部门的主营业务的当前营收占比大于或者等于所述第一营收占比，则该部门当前发展健康；
    若该部门处于发展期，且该部门的主营业务的当前营收占比小于所述第一营收占比，则该部门当前发展不健康；
    若该部门处于稳定期，且该部门的主营业务的当前营收占比在所述第二营收占比的预设误差范围内，则该部门当前发展健康；或者
    若该部门处于稳定期，且该部门的主营业务的当前营收占比不在所述第二营收占比的预设误差范围内，则该部门当前发展不健康。
  6. 如权利要求3所述的方法，其特征在于，所述分析所述各个部门的经营指标，得到所述各个部门的经营评价结果包括：
    将所述各个部门的经营指标与预设的参考值进行比较，得到所述各个部门的经营评价结果；或者
    根据所述各个部门的经营指标计算平均经营指标，将所述各个部门的经营指标与所述平均经营进行比较，得到所述各个部门的经营评价结果。
  7. 如权利要求1所述的方法，其特征在于，所述显示所述各个部门的经营评价结果包括：
    对所述各个部门的经营评价结果进行排序，根据排序结果显示所述各个部门的经营评价结果。
  8. 一种部门分析装置，其特征在于，所述装置包括：
    获取单元，用于获取企业内同一类型的各个部门的原始运营数据；
    统计单元，用于根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
    分析单元，用于分析所述各个部门的经营指标，得到所述各个部门的经 营评价结果；
    显示单元，用于显示所述各个部门的经营评价结果。
  9. 一种计算机装置，其特征在于，所述计算机装置包括处理器和存储器，所述存储器用于存储计算机可读指令，所述处理器用于执行所述计算机可读指令以实现以下步骤：
    获取企业内同一类型的各个部门的原始运营数据；
    根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
    分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
    显示所述各个部门的经营评价结果。
  10. 如权利要求9所述的计算机装置，其特征在于，所述原始运营数据包括历史业务数据和当前业务数据，所述根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标包括：
    根据所述各个部门的历史业务数据和当前业务数据计算所述各个部门的健康度，包括：
    根据所述各个部门的历史业务数据确定所述各个部门的主营业务；
    根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段；
    根据所述各个部门的当前业务数据计算所述各个部门的主营业务的当前营收占比；
    根据所述各个部门所处的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度。
  11. 如权利要求10所述的计算机装置，其特征在于，所述根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段包括：
    根据所述各个部门的历史业务数据确定所述各个部门的主营业务的历史营收占比；
    对于所述各个部门中的任一部门，若该部门的主营业务的历史营收占比大于或者等于第一营收占比，确定该部门处于发展期；
    若该部门的主营业务的历史营收占比小于所述第一营收占比且在第二 营收占比的预设误差范围内，确定该部门处于稳定期，其中所述第一营收占比大于所述第二营收占比。
  12. 如权利要求11所述的计算机装置，其特征在于，所述根据所述各个部门的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度包括：
    对于所述各个部门中的任一部门，若该部门处于发展期，且该部门的主营业务的当前营收占比大于或者等于所述第一营收占比，则该部门当前发展健康；
    若该部门处于发展期，且该部门的主营业务的当前营收占比小于所述第一营收占比，则该部门当前发展不健康；
    若该部门处于稳定期，且该部门的主营业务的当前营收占比在所述第二营收占比的预设误差范围内，则该部门当前发展健康；或者
    若该部门处于稳定期，且该部门的主营业务的当前营收占比不在所述第二营收占比的预设误差范围内，则该部门当前发展不健康。
  13. 如权利要求10所述的计算机装置，其特征在于，所述分析所述各个部门的经营指标，得到所述各个部门的经营评价结果包括：
    将所述各个部门的经营指标与预设的参考值进行比较，得到所述各个部门的经营评价结果；或者
    根据所述各个部门的经营指标计算平均经营指标，将所述各个部门的经营指标与所述平均经营进行比较，得到所述各个部门的经营评价结果。
  14. 如权利要求9所述的计算机装置，其特征在于，所述显示所述各个部门的经营评价结果包括：
    对所述各个部门的经营评价结果进行排序，根据排序结果显示所述各个部门的经营评价结果。
  15. 一种非易失性可读存储介质，所述非易失性可读存储介质上存储有计算机可读指令，其特征在于，所述计算机可读指令被处理器执行时实现以下步骤：
    获取企业内同一类型的各个部门的原始运营数据；
    根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标；
    分析所述各个部门的经营指标，得到所述各个部门的经营评价结果；
    显示所述各个部门的经营评价结果。
  16. 如权利要求15所述的存储介质，其特征在于，所述原始运营数据包括历史业务数据和当前业务数据，所述根据获取的所述各个部门的原始运营数据统计所述各个部门的经营指标包括：
    根据所述各个部门的历史业务数据和当前业务数据计算所述各个部门的健康度，包括：
    根据所述各个部门的历史业务数据确定所述各个部门的主营业务；
    根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段；
    根据所述各个部门的当前业务数据计算所述各个部门的主营业务的当前营收占比；
    根据所述各个部门所处的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度。
  17. 如权利要求16所述的存储介质，其特征在于，所述根据所述各个部门的历史业务数据及主营业务，确定所述各个部门所处的发展阶段包括：
    根据所述各个部门的历史业务数据确定所述各个部门的主营业务的历史营收占比；
    对于所述各个部门中的任一部门，若该部门的主营业务的历史营收占比大于或者等于第一营收占比，确定该部门处于发展期；
    若该部门的主营业务的历史营收占比小于所述第一营收占比且在第二营收占比的预设误差范围内，确定该部门处于稳定期，其中所述第一营收占比大于所述第二营收占比。
  18. 如权利要求17所述的存储介质，其特征在于，所述根据所述各个部门的发展阶段及所述各个部门的主营业务的当前营收占比，确定所述各个部门的健康度包括：
    对于所述各个部门中的任一部门，若该部门处于发展期，且该部门的主营业务的当前营收占比大于或者等于所述第一营收占比，则该部门当前发展健康；
    若该部门处于发展期，且该部门的主营业务的当前营收占比小于所述第一营收占比，则该部门当前发展不健康；
    若该部门处于稳定期，且该部门的主营业务的当前营收占比在所述第二营收占比的预设误差范围内，则该部门当前发展健康；或者
    若该部门处于稳定期，且该部门的主营业务的当前营收占比不在所述第二营收占比的预设误差范围内，则该部门当前发展不健康。
  19. 如权利要求16所述的存储介质，其特征在于，所述分析所述各个部门的经营指标，得到所述各个部门的经营评价结果包括：
    将所述各个部门的经营指标与预设的参考值进行比较，得到所述各个部门的经营评价结果；或者
    根据所述各个部门的经营指标计算平均经营指标，将所述各个部门的经营指标与所述平均经营进行比较，得到所述各个部门的经营评价结果。
  20. 如权利要求15所述的存储介质，其特征在于，所述显示所述各个部门的经营评价结果包括：
    对所述各个部门的经营评价结果进行排序，根据排序结果显示所述各个部门的经营评价结果。
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