CN117911182A - Management method, platform and storage medium of operation data - Google Patents

Abstract

The embodiment of the application provides a management method, a platform and a storage medium of operation data, belonging to the technical field of data processing. Configuring execution parameters for preset operation indexes at a preset associated node configuration interface; responding to an operation data query request, and displaying an operation data dynamic view; in the operation dynamic view, acquiring input start-stop time and displaying total operation data of the start-stop time, and sequentially and horizontally displaying operation detail data of each month in the start-stop time according to a month time sequence to obtain an operation fishbone diagram; responding to a problem index query request of a target dimension index in the income dimension index, and sequentially displaying target operation index data of each operation level of the target dimension index on a preset operation path from bottom to top in an operation dynamic view according to an execution parameter of the target dimension index. Therefore, the embodiment of the application can improve the management efficiency of the operation data and control the management risk of the operation data.

Description

Management method, platform and storage medium of operation data

Technical Field

The present application relates to the field of data processing technologies, and in particular, to a method, a platform, and a storage medium for managing operation data.

Background

In operation management, it is generally necessary to check whether the income and expense of the operation meet the actual operation conditions, so as to achieve the purpose of operation management. In the related art, the traditional operation management is usually to check operation data in an offline conference or other modes, and the operation management is limited to an organization structure such as departments with larger dimension, so that rights and interests are not clear, the operation management efficiency and difficulty are high, and although online maintenance of the operation data is performed to improve the management convenience, in the related art, the online operation data management platform cannot accurately locate problems, so that the operation data management efficiency is low and the data management risk is uncontrollable.

Disclosure of Invention

The embodiment of the application mainly aims to provide a management method, a platform and a storage medium for operation data, which can improve the management efficiency of the operation data and enable the management risk of the operation data to be controllable.

To achieve the above object, a first aspect of an embodiment of the present application provides a method for managing operation data, where the method includes:

configuring execution parameters for a preset operation index at a preset associated node configuration interface;

Responding to an operation data query request, and displaying an operation data dynamic view;

In the operation dynamic view, acquiring input start-stop time and displaying total operation data of the start-stop time;

In the operation dynamic view, sequentially and horizontally displaying operation detail data of each month in the start-stop time according to a month time sequence to obtain an operation fishbone diagram; the operation detail data comprise first operation detail data corresponding to a plurality of income dimension indexes; the revenue dimension index includes at least one of the operation indexes;

responding to a problem index query request of a target dimension index in the income dimension index, and sequentially displaying target operation index data of each operation level of the target dimension index on a preset operation path from bottom to top in the operation dynamic view according to the execution parameters of the target dimension index.

To achieve the above object, a second aspect of the embodiments of the present application provides an operation data management platform, where the operation data management platform includes:

the display module is used for displaying the associated node configuration interface and the operation dynamic view;

At least one of the processors is configured to perform,

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions that are executed by the at least one processor to cause the at least one processor to implement the method of managing operational data according to any one of claims 1 to 8 when executing the instructions.

To achieve the above object, a third aspect of the embodiments of the present application provides a computer-readable storage medium, where the storage medium is a computer-readable storage medium, and the storage medium stores a computer program, where the computer program is executed by a processor to implement the method for managing operation data according to the first aspect.

According to the management method, platform and storage medium for operation data, the configuration interface of the associated node is used for configuring the execution parameters for the operation index, so that the total operation data and the operation detail data calculated in the operation dynamic view are both from the operation data generated by the actual execution object, the operation data are reliable, meanwhile, the outline of the operation state in the unit period of month can be checked through the operation fishbone diagram, the target operation index data with abnormal operation data in the operation fishbone diagram can be checked step by step through the problem index query request, the operation data are combined with the actual operation process to perform real-time positioning and monitoring of risk data, and the efficiency and the accuracy of operation problem positioning are improved.

Drawings

Fig. 1 is a flow chart of an embodiment of a method for managing operation data according to an embodiment of the present application;

Fig. 2 is an interface schematic diagram of an operation dynamic view of one embodiment in the method for managing operation data according to the embodiment of the present application;

FIG. 3 is an interface diagram of the operation dynamics view in another scenario in the embodiment of FIG. 2;

FIG. 4 is an interface diagram of the operation dynamics view of the embodiment of FIG. 2 in another scenario;

Fig. 5 is an interface schematic diagram of an operation dynamic view of another embodiment in the method for managing operation data according to the embodiment of the present application;

fig. 6 is a schematic block diagram of a platform corresponding to a management method of operation data according to an embodiment of the present application;

fig. 7 is a hardware block diagram corresponding to a management method of operation data provided by an embodiment of the present application.

Detailed Description

The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.

It should be noted that although functional block division is performed in a device diagram and a logic sequence is shown in a flowchart, in some cases, the steps shown or described may be performed in a different order than the block division in the device, or in the flowchart. The terms first, second and the like in the description and in the claims and in the above-described figures, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.

Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the application only and is not intended to be limiting of the application.

It should be understood that in operation management, it is generally necessary to check whether the incomes and expenditures of the operation meet the actual operation conditions, so as to achieve the purpose of operation management. In the related art, the traditional operation management usually uses offline conferences, telephones and other modes to catch responsibility for the reasons of the gaps, the problem of the gaps cannot be located at the first time, and the operation management is limited to organization structures such as departments, centers and the like with larger dimension, so that the responsibility is not clear enough, the operation management efficiency and difficulty are large, and the operation management is delayed due to the fact that node matters cannot be tracked in real time, although the maintenance of the online operation data is carried out to improve the management convenience, in the related art, the management platform of the online operation data cannot achieve the accurate location of the problems, cannot fall to specific node matters and individuals, and cannot intuitively embody the influence of the progress of matters on the operation management, so that the management efficiency of the operation data is lower and the data management risk is uncontrollable. Based on the above, the application provides a management method, a platform and a storage medium for operation data, which are characterized in that the operation data is penetrated into an operation management process, such as positioning from a risk gap of cash flow to a specific project and income subject, the income subject is penetrated into a key node, the progress of the node is monitored, and the node is traced back to a precondition; therefore, the problem of point-to-line and then surface-to-surface is solved by layer-by-layer penetration positioning; and further, the management efficiency of the operation data is improved, and the management risk of the operation data is controllable.

Referring to fig. 1, a method for managing operation data according to a first aspect of the present application includes:

Step S100, configuring execution parameters for a preset operation index at a preset associated node configuration interface;

step 200, responding to an operation data query request, and displaying an operation data dynamic view;

Step S300, in the operation dynamic view, acquiring input start-stop time and displaying total operation data of the start-stop time;

step S400, in the operation dynamic view, sequentially and horizontally displaying operation detail data of each month in the starting and ending time according to the month time sequence to obtain an operation fishbone diagram; the operation detail data comprises first operation detail data corresponding to a plurality of income dimension indexes; the revenue dimension index includes at least one operation index;

step S500, responding to a problem index query request of a target dimension index in the income dimension index, and sequentially displaying target operation index data of each operation level of the target dimension index on a preset operation path from bottom to top in an operation dynamic view according to an execution parameter of the target dimension index.

Therefore, the configuration interface of the associated node configures the execution parameters for the operation index, so that the total operation data and the operation detail data calculated in the operation dynamic view are both from the operation data generated by the actual execution object, the operation data has reliability, meanwhile, the outline of the operation state in the unit period of month can be checked through the operation fishbone diagram, the target operation index data with abnormal operation data in the operation fishbone diagram is checked step by step through the problem index query request, the operation data is combined with the actual operation process to perform real-time positioning and monitoring of the risk data, and the efficiency and the accuracy of operation problem positioning are improved.

It should be appreciated that the execution parameters are execution bodies of the operation index, and in some embodiments, the execution parameters are execution nodes that generate the operation data; in other embodiments, the execution parameters are node matters that generate operational data. In some embodiments, the preset income index and expenditure index can be automatically obtained to serve as operation indexes, and the relevant node items are maintained and configured for the income index and the expenditure index through the relevant node configuration interface, so that the association relation between the index and the item and the execution object is established, and the analysis of the subsequent operation level is supported. It should be understood that an operation index is an index item that falls on a specific execution object, such as a residential income index. The income dimension index is index dimension for operation management on a macroscopic level, and if the management is to use the project as one dimension, the income dimension index is divided by the project.

It should be understood that the operation fishbone diagram shows summarized data of operation indexes under each index dimension obtained by dividing the operation indexes when the operation management is performed according to the preset index dimension on a macroscopic level, and shows income index dimension requiring early warning on the operation fishbone diagram. The target operation index data of each operation level under the operation path can be queried step by step through the problem index query request, so that the risk gap is traced back layer by layer through the problem index query request after the risk gap is displayed based on the operation fishbone diagram, further the problem gap is known to be caused by which event tasks, the serious event tasks are monitored, and further corrective measures are issued, so that the problem is prevented from further deteriorating, and the management efficiency can be improved.

Therefore, the embodiment of the application can locate specific directly subordinate execution nodes (such as income subjects) from risk gaps of cash flows through business penetration to operation, and monitor node progress through the directly subordinate execution nodes to the upper level execution nodes (such as key nodes), when the upper level execution nodes currently displayed still exist, if the key nodes still exist a precondition, the precondition can be traced back from the key nodes to the precondition so as to locate the problem layer by layer, and the problem point can be found quickly after the line is from point to line. Therefore, the embodiment of the application can improve the overall coordination capability in the operation process, break through the last kilometer between operation and operation, and help an operation management team to see the problem clearly, decide to make a decision and manage to execute.

It should be appreciated that in some embodiments, the total operation data includes one total operation data requesting to view months and total operation data of all months within the start-stop time, where the requesting to view months may be the default start-stop time month or may be dynamically selected in the operation dynamic view; therefore, the actual conditions of the individual months and the overall month conditions are quickly known through displaying the two types of total operation data, and the total operation summary is easier to know, so that the management efficiency is improved. In some embodiments, when the presence of the overall operational data indicates that there is a risk, the risk identification is displayed in the operational dynamic view. The total operational data is used to feed back the total amount of revenue, the availability of the total amount of expenditure, and the available funds for the corresponding time. As shown in fig. 2, the total income amount in 06-11 months is 202.86, the available amount is 202.1 (i.e. the corresponding amount is not limited in the figure), and the unavailable amount is 0.76 (i.e. the limited amount is 0.76 in the figure); the available funds are 185.69 (i.e., the funds remaining 185.69 in the illustration).

It should be appreciated that in some embodiments, the operation detail data further includes classified summary data corresponding to the expense dimension index, so that the overall situation of expense and income can be quickly known on the operation fishbone diagram. As shown in fig. 2 and 3, the operation fishbone diagram is divided into two major parts, namely income and expenditure. Wherein, the income is according to ascending level, and the layer upon layer upwards expands and does in proper order: item-subject-node-precondition. Displaying operation detail data related to the project on the operation fishbone diagram, then displaying subjects one by one according to a problem index query request triggered on the operation fishbone diagram, unfolding key nodes when the subjects are clicked under the subjects, and unfolding preconditions when the key nodes are selected under the key nodes.

It should be understood that the setting of the operation level on the operation path may be selectively set according to the actual requirement, which is not too much restricted in the embodiment of the present application. Preferably, in the embodiment of the present application, the operation path is set as an item-subject-node-precondition.

It should be appreciated that the viewable area in the operational dynamic view is limited, and thus, the operational fishbone map only displays a partial month of operational detail data, and in some embodiments, the display of the remaining operational detail data may be performed by dragging the operational fishbone map.

Illustratively, as shown in FIG. 2, the start-stop times are set to 2023-06 to 2023-11; wherein, the initial month is 6 months, and the corresponding months of the starting time and the ending time are 6, 7, 8, 9,10, 11 and 12 respectively. Displaying the total operation data of the initial month by default; specifically, total revenue 178.66 for 6 months; total expenditure 5.55; the balance of funds is 172.5; the total operational data for all months during the start-stop time includes total revenue 202.86, total expenditure 16.41, and fund margin 185.69; the total operational data also includes, among other things, a summary of the general income, limited and unlimited funds in the total expenditure. And the operation detail data of three months of 6 months, 7 months and 8 months are respectively displayed in the operation fishbone diagram, wherein the operation detail data is divided into two parts of income and expenditure, and the first operation detail data in the operation detail data is divided by taking an item as an income dimension index and is displayed in the income part. The classified summary data in the operation detail data is divided by taking the expense type as dimension and displayed in the expense part. As shown in fig. 3, with the operation path as the item-subject-node-precondition, and the revenue dimension index corresponding to the item, the first revenue dimension index under the classification of the operation revenue in the selected 6 months (i.e. "1, beijing xxx item") will calculate the specific operation data under the subject to obtain the corresponding detail data (i.e. "house sales revenue" and "manageable funds revenue" summary data in fig. 3), at this time, when one subject (i.e. "house sales revenue") is selected, the key node containing "house sales revenue" will be displayed, as shown in fig. 3, the key node containing "house sales revenue" is "ventilation, air conditioning system installation engineering complete"; when "the ventilation and air conditioning system installation project is completed" is selected, a precondition including "the ventilation and air conditioning system installation project is completed" is displayed. Therefore, the system can penetrate layer by layer through the mode, fall to a specific operation process, quickly locate a problem gap and improve the efficiency of operation management.

In summary, according to the embodiment of the application, the risk gap caused by the delay of the operation node is traced and positioned layer by layer through the early warning amount of the workbench, so that layer penetration is realized. Taking an operation index, an item, an operation item node and an operation path of a precondition as an example, specifically, clicking an expansion button below an early warning amount in an operation fishbone diagram to check an item corresponding to the early warning amount, and clicking the item layer by layer to expand subjects of the item early warning and nodes associated with the subjects and the index. The preconditions for the node can be checked again upwards. Thus, the corresponding detail data can be calculated based on the operation data of the operation index corresponding to each piece of developed information.

It should be understood that, the content of the detailed data specific display is not restricted in the present application, and the process of calculating is not improved in the present application, so that the detailed data display mode and calculation mode can be selectively set by those skilled in the art according to the actual situation without redundant description.

As can be understood, referring to fig. 2 to 5, in step S400, operation detail data of each month in the start-stop time is sequentially and horizontally displayed according to the month time sequence, to obtain an operation fishbone diagram, which includes:

calculating first operation detail data of each month in the starting and ending time according to the starting and ending time and preset income dimension indexes;

classifying the first operation detail data according to a preset fund type to obtain at least one group of classification detail data;

And displaying the month information in the starting and ending time horizontally in sequence according to the month time sequence, longitudinally grouping and displaying the classification detail data at the position of the corresponding month information, and longitudinally displaying the classification detail data and the corresponding income dimension index under each grouping to obtain the operation fishbone graph.

It is understood that the first operation detail data is displayed on the operation fishbone diagram in a classified mode according to the fund types, so that the operation condition can be known more intuitively, and the management efficiency is improved. And binding and displaying the income dimension indexes and specific classification detail data, so that specific income conditions of different classifications under different income dimension indexes can be further intuitively seen, and the management efficiency is improved. It should be appreciated that the types of funds may be set according to the needs of the actual operations management, such as to operational revenue, financing revenue, investment revenue, etc. The fund types may be one or more, and the embodiments of the present application are not limited in this respect. The classification detail data is used for recording operation data of each income dimension index under the fund type of the classification to which the classification belongs and displaying the abnormal income dimension index.

For example, as shown in fig. 3, taking an example that each income dimension index corresponds to one item, in fig. 3, the classification detail data shows the fund type of "business income", and the number of items under the fund type, specifically, the number of early warning items, is 85 items (i.e., a group of 85 classification detail data) are carried under the grouping of business income, and the number of early warning items is 1, i.e., 85 income dimension indexes are provided. Wherein, each income dimension index item displays the corresponding income dimension index information, amount and early warning state, for example, one income dimension index is 'Beijing xxxx item', the corresponding operation value is '7995 ten thousand', and the early warning icon is displayed on one side of '7995 ten thousand'Therefore, through the mode of vertical classification display and horizontal month display, the operation detail data of each month selected can be more intuitively known.

It should be understood that, if the first operation detail data is summary of execution results of execution parameters of the corresponding operation indexes, and if the first operation detail data is operation income of the beijing xxxx project, the operation income includes two operation indexes of residential sales income and lease income, the execution results of the execution parameters of the operation indexes, namely, residential income under the project, and the execution results of the execution parameters of the operation indexes, namely, lease income, are respectively counted, and the operation income of the beijing xxxx project is obtained by summary calculation according to the counted execution results. When the counted month is the month to be executed, the execution result is the expected execution result, when the counted month is the historical month, the execution result is the executed execution result, if the current month is 6 months, 7 months are the month to be executed, and the current month belong to the historical months.

It can be appreciated that the operational data of the partial month information of the operational fishbone is displayed in the visible area of the operational dynamic view; after obtaining the operation fishbone diagram, the method further comprises the following steps:

and responding to the fishbone diagram moving request, horizontally moving the operation fishbone diagram in the visible area so as to display operation detail data corresponding to month information outside the visible area.

For example, as shown in fig. 2 and fig. 4, the current visible area displays operation data of three months of 6, 7 and 8, and after the operation fishbone map is selected, the operation fishbone map is horizontally moved in the visible area by dragging, at this time, operation detail data except for the months of 6, 7 and 8 may be displayed, for example, any one or more of the operation detail data of 7, 8 and 9 months may be displayed instead of the original month.

Therefore, through the movable arrangement of the operation fishbone diagram, the operation detail data can be displayed in a limited visible area more clearly, and the purpose of simultaneously displaying the operation detail data of a plurality of months can be met.

It should be appreciated that in some embodiments, in addition to displaying operational details of the months covered by the start-stop time on the operational fishbone diagram, classified operational summary data outside of this range is also displayed for reference. As shown in fig. 5, if the start-stop time is 2023-05 ～ 2023 ～ 11, the classified operation summary data before 2023-05 is displayed as the reference data of the subsequent details, so that the operation fishbone diagram can be simplified, and the whole tracking period is more convenient. As shown in fig. 5, operation detail data of each month of 05-11 months is displayed, wherein the operation detail data of 5 months and 6 months are in a visible region, classification data of 1-4 months are displayed at the same time, classification summary detail data of three groups of capital types one-to-one corresponding to the operating income, financing income and investment income are sequentially displayed according to a grouping mode, and classification summary detail data of a payout part corresponding to the capital types, such as investment payout, financing payout and operating payout, are sequentially displayed in a longitudinal direction. At this time, based on the classification data of 1-4 months, the cumulative net amount (i.e. total income-total expenditure) can be calculated to be 6.31, correspondingly, the cumulative net amount of the corresponding month can be sequentially calculated based on the previous cumulative net amount in each subsequent month, at this time, the management object can quickly know the total operation data and the corresponding detail data of the whole management period based on the operation fishbone diagram, and further the management efficiency is improved.

As can be appreciated, referring to fig. 3, in response to a problem index query request of a target dimension index in revenue dimension indexes, target operation index data of each operation level of the target dimension index on a preset operation path is sequentially displayed from bottom to top in an operation dynamic view according to an execution parameter of the target dimension index, including:

responding to a problem index query request of a target dimension index in the income dimension index, and taking the target dimension index as an operation level to be processed in the operation level of the operation path;

Acquiring an operation level to be processed on the last operation level of an operation path;

inquiring target operation index data containing the target dimension index under the previous operation level according to the execution parameters of the target dimension index, and binding and displaying the target operation index data and the operation level to be processed according to the order of the operation levels;

When the target level dimension index of the target operation index data triggers a problem index query request, the last operation level is used as a new operation level to be processed, so that the target operation index data of the target level dimension index is queried again and bound and displayed until the problem index query request of the target operation index data is not generated.

It should be understood that the target dimension index is the revenue dimension index selected by the revenue dimension index, for example, in fig. 3, in the operation fishbone diagram, the revenue dimension index "beijing xxxx item" under the operation revenue group of 6 months is selected, and in this case, the "beijing xxxx item" is the target dimension index.

It should be understood that the target operation index data is used for recording operation association data of a level dimension index associated with the target dimension index under a corresponding operation level; the target operation index data comprises at least one level dimension index; the operation level may be used for managing the operation data and may also be the progress tracking of the node for specific execution, so the target operation index data further includes operation summary detail data of the level dimension index, or includes progress data of the level dimension index, for example, taking an operation path as an item level, a subject level, a key node level and a preamble sequence level, the last operation level corresponds to the subject level, statistics is performed on the subject level is performed summary detail data, so the target operation index data includes an index name, the number of associated execution nodes and early warning information, and when the last operation level corresponds to the key node level, statistics is performed on the lower portion of the key node level, so the target operation index data includes an executor, an execution node name, a planning time, overdue information and the like. The hierarchy dimension index represents an operation index under the corresponding operation hierarchy.

It should be understood that, in some embodiments, step S100 includes performing parameter configuration for an operation index according to a trend of operation data, and, illustratively, taking operation data as a cash flow, displaying key node data according to cash flow binding item-node information. In some embodiments, because the displayed target operation parameters, income dimension indexes and other information are more, a 'stow/expand' button is arranged, so that the convenience of display can be improved. Meanwhile, the unfolding order can be displayed from left to right according to the descending order of the influencing amount, and the like.

It should be appreciated that risk issues in each target tier dimension indicator may be managed and upgraded to guide subsequent camping work to be performed. Wherein, managing the object for further tracking the data, upgrading the object for raising the data of the target level dimension index to a higher level for tracking processing.

It should be understood that when the corresponding operation data in the target level dimension index has the worksheet operation, the amount pre-warning, the gap amount, etc., the [ problem filling ] operation may be clicked to perform the worksheet operation, the amount pre-warning, the gap amount filling, etc.

For example, referring to fig. 3, taking an operation path as an item level, a subject level, a key node level and a pre-sequence level as an example, where revenue dimension indexes corresponding to the item level are horizontally displayed in the operation fishbone graph according to the order of months, when one revenue dimension index in the item level is selected (i.e. "beijing xxxxxx item" is selected) as a target dimension index, according to an execution parameter, data under the catalog of "operation income subject" including the target dimension index and belonging to the subject level is found, and at this time, the level dimension indexes are "residential sales income" and "lease income of assets" respectively, and the operation summary data corresponding to the level dimension index is bound and displayed as shown in fig. 3, and for example, the operation summary data corresponding to "residential sales income" includes a total amount, a number of related score points and a number of pre-warning worksheets. When "residential sales revenue" is selected, the "residential sales revenue" is used as a new target dimension index to continuously query the key nodes containing the "residential sales revenue" in the key node hierarchy, and the obtained new target operation index data is shown in the catalog of the "key nodes" in fig. 3. As shown in fig. 3, in the key node level, only one level dimension index "ventilation and air conditioning system installation engineering is completed", and further, when "ventilation and air conditioning system installation engineering is completed" is selected, a preamble sequence including "ventilation and air conditioning system installation engineering is completed" under the preamble sequence level is displayed. The preamble sequence indicates a sequence of events that need to be completed before the execution of the key node, and may be one, a plurality of or none, and in this case, for "beijing xxxx project" under the operation income, the operation summary data under all the corresponding operation levels is shown in fig. 3. For the key nodes and the pre-sequence, the follow-up operation can be guided to be carried out through operations such as triggering after selection (problem filling), upgrading and supervision.

It can be understood that at least one target operation index data is set under each operation level, and the target operation index data and the operation level to be processed are bound and displayed according to the order of the operation levels, including:

Acquiring configured ordering mode parameters;

Sorting the target operation index data in the same operation level according to the sorting mode parameters;

Displaying the operation level to be processed, and displaying the ordered target operation index data level below the operation level to be processed.

It should be appreciated that convenience of management can be further enhanced by setting the ordering.

As shown in fig. 3, three sorting mode parameters are set, namely, a "key item", "amount" and a "warning item", where the sorting mode parameter in fig. 3 is the "key item", and at this time, taking a subject level as an example, operation summary data of two levels of "residential sales revenue" and "manageable asset lease revenue" under the subject level are divided according to importance degrees, and if the importance degree of "residential sales revenue" is higher than "manageable asset lease revenue", the "residential sales revenue" is ranked before the "manageable asset lease revenue". It should be understood that the present application is not limited to a specific ordering manner, and those skilled in the art can selectively set the ordering manner according to actual needs.

As can be understood, referring to fig. 2 to 5, the operation detail data further includes expenditure dimension data, and in the operation dynamic view, the operation detail data of each month in the start-stop time is sequentially and horizontally displayed according to the month time sequence, so as to obtain an operation fishbone diagram; comprising the following steps:

Sequentially and horizontally displaying the first operation detail data according to the month time sequence of the corresponding month;

and displaying the expenditure dimension data horizontally in sequence according to the month time sequence of the corresponding month, and longitudinally distributing the expenditure dimension data and the first operation detail data of the same month.

It should be appreciated that the payout dimension data is categorized summary detail data of payout types, each payout type corresponding to one fund type.

Therefore, by displaying the expenditure dimension data and the first operation detail data in the operation fishbone diagram, more useful information can be displayed in a limited visible area, and management efficiency is improved.

It can be understood that the expense dimension data is classified summary detail data according to a preset expense type, and after the operation fishbone diagram is obtained, the method further includes:

responding to a target month or a expenditure inquiry request of classified summary detail data under the target month, and displaying a expenditure sub-view in a preset area of an operation dynamic view;

Acquiring a expenditure type parameter and a time parameter in the expenditure sub-view;

and displaying detailed expense data corresponding to the expense inquiry request according to the expense type parameter and the time parameter.

Illustratively, referring to fig. 4, a pay-out sub-view is shown as an example of the "pay-out inventory" list of fig. 4, which performs summary display of operation detail data according to a level above an operation level on an operation fishbone diagram. Buttons (such as the "issue fill" and "issue list" buttons in fig. 4) are also provided to track problematic items.

It should be appreciated that the expense type parameter corresponds to a parameter setting of the expense type in the operational fishbone diagram, and the time parameter is used to represent the time period for which the expense to be viewed is selected. As shown in fig. 4, the payout type parameter includes a subject classification, a payout classification (i.e., a payout level), and a cash flow subject (i.e., a usage classification); the time parameter follows the expense query request.

For example, as shown in fig. 4, when the "6 month plan" in the selected operation fishbone diagram is used for checking the problem list, the expense inquiry request is triggered, and at this time, all of the subject classification default choices "all" and all of the subject classification default choices "expense classification" in the expense type parameters in the expense sub-view are selected; when the "financing expenditure" in the "6 month plan" is selected for checking the problem list, an expenditure inquiry request of classifying and summarizing data under the target month is triggered, and at this time, the subjects classification default in the expenditure type parameter in the expenditure sub-view selects the "financing class". Correspondingly, the time parameter is 6 months.

It should be understood that, in some embodiments, the detailed expense data includes a time item, where a sorting key is provided on the time item, so that the detailed expense data may be sorted, and as illustrated in fig. 4, for example, a "planned expense time" is provided in the detailed expense data, and a corresponding sorting key is provided, after the sorting key is selected, all the items of the detailed expense data may be sorted according to the sequence of the planned expense time and then displayed.

It can be understood that the operation path includes a project level, a subject level, a key node level, and a preamble sequence level, which are sequentially set, and the revenue dimension index is a summary index of operation indexes divided by the project level.

By way of example, reference is made to the embodiments of fig. 1 and 5, in particular as follows:

Firstly, determining operation indexes according to the operation conditions, and configuring corresponding execution parameters for each operation index according to an operation path, so that each operation index is associated with penetration operation node matters, for example, the operation index supports association of existing panoramic nodes or work order task matters, and new node matters can be added for the operation indexes.

Secondly, according to the intention of operation management, if taking the management expense condition as an example, the operation index is divided into two major categories, wherein operation detail data is taken as a main line, the upper part is taken as the income, the lower part is taken as the expense, the unit period of months is taken as the management period, and the operation detail data of each month selected in the management period is displayed along the horizontal direction by taking one year as the management period, so that the cash flow expense balance state and the gap condition in the time period covered by the starting and ending time are monitored.

Further, the total operation data in the start-stop time is displayed, as shown in fig. 5, the total income of 5-10 months in the start-stop time is 27.67 hundred million, the unlimited income is 27.62 hundred million, the total expenditure is 32.9 hundred million, the available limited expenditure is 0.02 hundred million, the fund allowance is equal to the unlimited amount in income (available limited expenditure and unavailable limited expenditure), so the fund allowance is-5.28 hundred million, and the whole situation is in a balance state. In addition, the starting month total operation data in the starting and ending time is displayed by default, namely the 5 month total operation data is displayed, and when the 6 months are clicked, the 5 month displayed total operation data is replaced by the 6 months total operation data.

Further, as shown in fig. 5, classification display is performed on the main line of the operation fishbone diagram in the operation hierarchy at the extreme end of the operation path, so as to trace back to the specific operation node item through the early warning amount penetration of the operation risk gap. Further, as shown in fig. 5, the operation fishbone diagram performs risk early warning for 5 months, the early warning amount is 0.15 hundred million, the early warning items are 3, and the early warning amount is equal to the sum of amounts affected by the progress of overdue key nodes. When the early warning amount needs to be focused and traced and analyzed, the items corresponding to the early warning amount can be penetrated, specifically, a classification list with early warning items is expanded, specifically, about 0.8 hundred million of residential sales income of Beijing xxx items is expanded, at this time, "the Beijing xxx items" are selected, then the subject level shown in fig. 3 is increased above the total operation data in fig. 5, and after the level dimension index with risk under the subject level is selected, the subject level is traced back to the key node level, and the like is pushed, so that layer tracing can be realized. Thus, it is determined that the revenue cannot be received on time due to overdue node "ventilation, air conditioning system installation engineering complete". And the node has exceeded the period of 100 days, whether the node has the problem that the precondition of influence is incomplete, so that the overdue period can be further traced. At this time, when the overdue node is found at the key node, manual intervention is required, operations such as [ upgrading and supervision ] can be directly clicked, for example, manual intervention can be performed on 'ventilation and air conditioning system installation engineering completion' of about 0.8 hundred million unretractable nodes affecting sales income of Beijing xxxx project residences, and measures such as upgrading, supervision and problem filling can be taken for the node.

Further, as shown in fig. 5, when a specific payout needs to be checked, the embodiment shown in fig. 5 with reference to fig. 4 may be subjected to a payout detail operation, so that a payout sub-view shown in fig. 4 is displayed below the operation fishbone diagram in fig. 5 to check the payout detail.

Further, as shown in fig. 5, the operation fishbone graph may be dragged horizontally, so that operation detail data of 8 months, for example, may be displayed.

Therefore, data are collected from each service system and are stored in a unified way, the collected data are cleaned, and data preprocessing is performed after the data are cleaned. After the operation index is associated with the operation management and operation execution process by referring to step S100, functions such as automatic fund flow management, cash flow tracking, risk early warning, risk control and the like are realized.

As can be appreciated, referring to fig. 6, a second aspect of the embodiment of the present application proposes an operation data management platform, where the operation data management platform includes:

The display module 100 is used for displaying the associated node configuration interface and the operation dynamic view by the display module 100;

at least one of the processors 701 is configured to,

A memory 702 communicatively coupled to the at least one processor 701; wherein,

The memory 702 stores instructions that are executed by the at least one processor 701 to cause the at least one processor 701 to implement a method of managing operational data according to any one of the first aspects when executing the instructions.

It should be understood that, as shown in fig. 6, the management platform further includes a database 300, where the database 300 is used to store execution parameters, association between operation indexes and execution parameters, operation detail data, and so on; therefore, the unified management of the original data and the intermediate data in the operation management process and the execution process can be realized, and the functions of automatic management of fund flows, cash flow tracking, risk early warning, risk control and the like are realized.

It can be understood that, as shown in fig. 7, the embodiment of the present application further provides an electronic device, where the electronic device includes:

The processor 701 may be implemented by a general-purpose CPU (central processing unit), a microprocessor, an application-specific integrated circuit (ApplicationSpecificIntegratedCircuit, ASIC), or one or more integrated circuits, etc. for executing related programs, so as to implement the technical solution provided by the embodiments of the present application;

The memory 702 may be implemented in the form of read-only memory (ReadOnlyMemory, ROM), static storage, dynamic storage, or random access memory (RandomAccessMemory, RAM). The memory 702 may store an operating system and other application programs, and when the technical solutions provided in the embodiments of the present disclosure are implemented by software or firmware, relevant program codes are stored in the memory 702, and the processor 701 invokes a management method for executing operation data of the embodiments of the present disclosure;

an input/output interface 703 for implementing information input and output;

The communication interface 704 is configured to implement communication interaction between the device and other devices, and may implement communication in a wired manner (e.g. USB, network cable, etc.), or may implement communication in a wireless manner (e.g. mobile network, WIFI, bluetooth, etc.);

A bus 705 for transferring information between various components of the device (e.g., the processor 701, memory 702, input/output interfaces 703, and communication interfaces 704);

Wherein the processor 701, the memory 702, the input/output interface 703 and the communication interface 704 are in communication connection with each other inside the device via a bus 705.

The embodiment of the application also provides a storage medium, which is a computer readable storage medium, and the storage medium stores a computer program, and the computer program realizes the management method of the operation data when being executed by a processor.

The memory, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs as well as non-transitory computer executable programs. In addition, the memory may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory remotely located relative to the processor, the remote memory being connectable to the processor through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The embodiments described in the embodiments of the present application are for more clearly describing the technical solutions of the embodiments of the present application, and do not constitute a limitation on the technical solutions provided by the embodiments of the present application, and those skilled in the art can know that, with the evolution of technology and the appearance of new application scenarios, the technical solutions provided by the embodiments of the present application are equally applicable to similar technical problems.

It will be appreciated by persons skilled in the art that the embodiments of the application are not limited by the illustrations, and that more or fewer steps than those shown may be included, or certain steps may be combined, or different steps may be included.

The above described apparatus embodiments are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

Those of ordinary skill in the art will appreciate that all or some of the steps of the methods, systems, functional modules/units in the devices disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof.

The terms "first," "second," "third," "fourth," and the like in the description of the application and in the above figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

It should be understood that in the present application, "at least one (item)" means one or more, and "a plurality" means two or more. "and/or" for describing the association relationship of the association object, the representation may have three relationships, for example, "a and/or B" may represent: only a, only B and both a and B are present, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b or c may represent: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", wherein a, b, c may be single or plural.

In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the above-described division of units is merely a logical function division, and there may be another division manner in actual implementation, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in the embodiments of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including multiple instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method of the various embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a random access memory (Random Access Memory RAM), a magnetic disk, or an optical disk, or other various media capable of storing a program.

The preferred embodiments of the present application have been described above with reference to the accompanying drawings, and are not thereby limiting the scope of the claims of the embodiments of the present application. Any modifications, equivalent substitutions and improvements made by those skilled in the art without departing from the scope and spirit of the embodiments of the present application shall fall within the scope of the claims of the embodiments of the present application.

Claims (10)

1. A method of managing operational data, the method comprising:

configuring execution parameters for a preset operation index at a preset associated node configuration interface;

Responding to an operation data query request, and displaying an operation data dynamic view;

In the operation dynamic view, acquiring input start-stop time and displaying total operation data of the start-stop time;

In the operation dynamic view, sequentially and horizontally displaying operation detail data of each month in the start-stop time according to a month time sequence to obtain an operation fishbone diagram; the operation detail data comprise first operation detail data corresponding to a plurality of income dimension indexes; the revenue dimension index includes at least one of the operation indexes;

responding to a problem index query request of a target dimension index in the income dimension index, and sequentially displaying target operation index data of each operation level of the target dimension index on a preset operation path from bottom to top in the operation dynamic view according to the execution parameters of the target dimension index.

2. The method for managing operation data according to claim 1, wherein the step of sequentially and horizontally displaying the operation detail data of each month in the start-stop time according to the month time sequence to obtain an operation fishbone map comprises the steps of:

Calculating first operation detail data of each month in the starting and ending time according to the starting and ending time and preset income dimension indexes;

classifying the first operation detail data according to a preset fund type to obtain at least one group of classification detail data;

And displaying the month information in the start-stop time according to the month time sequence, longitudinally grouping and displaying the classification detail data at the position of the corresponding month information, and longitudinally displaying the classification detail data and the corresponding income dimension index under each grouping to obtain the operation fishbone map.

3. The method of claim 2, wherein the operation data of the partial month information in the operation fishbone diagram is displayed in a visible area of the operation dynamic view; after obtaining the operation fishbone map, the method further comprises:

And responding to a fishbone diagram moving request, horizontally moving the operation fishbone diagram in the visible area so as to display operation detail data corresponding to month information outside the visible area.

4. The method for managing operation data according to claim 1, wherein the responding to the problem index query request of the target dimension index in the revenue dimension index sequentially displays, from bottom to top in the operation dynamic view, the target operation index data of each operation level of the target dimension index on the preset operation path according to the execution parameters of the target dimension index, includes:

Responding to a problem index query request of a target dimension index in the income dimension index, and taking the target dimension index at an operation level of the operation path as an operation level to be processed;

Acquiring an operation level of the operation level to be processed on the operation path;

Inquiring target operation index data containing the target dimension index under the previous operation level according to the execution parameters of the target dimension index, and binding and displaying the target operation index data and the operation level to be processed according to an operation level sequence;

when the target level dimension index in the target operation index data triggers a problem index query request, the previous operation level is used as a new operation level to be processed, so that the target operation index data of the target level dimension index is queried again to be bound and displayed until the problem index query request of the target operation index data is not generated.

5. The method for managing operation data according to claim 4, wherein at least one target operation index data is set in each operation level, and the target operation index data and the operation level to be processed are displayed in a binding manner according to an operation level sequence, comprising:

Acquiring configured ordering mode parameters;

sorting the target operation index data in the same operation level according to the sorting mode parameters;

Displaying the operation level to be processed, and displaying the ordered target operation index data level below the operation level to be processed.

6. The method for managing operation data according to claim 1, wherein the operation detail data further comprises expenditure dimension data, and in the operation dynamic view, the operation detail data of each month in the start-stop time is sequentially and horizontally displayed according to a month time sequence to obtain an operation fishbone diagram; comprising the following steps:

Sequentially and horizontally displaying the first operation detail data according to the month time sequence of the corresponding month;

and displaying the expenditure dimension data horizontally in sequence according to the month time sequence of the corresponding month, wherein the expenditure dimension data and the first operation detail data of the same month are longitudinally distributed.

7. The method for managing operation data according to claim 6, wherein the payout dimensional data is classified summary detail data according to a preset payout type, and after obtaining the operation fishbone map, the method further comprises:

responding to a target month or a expenditure inquiry request of classified summary detail data under the target month, and displaying a expenditure sub-view in a preset area of the operation dynamic view;

Acquiring a expenditure type parameter and a time parameter from the expenditure sub-view;

and displaying detailed expense data corresponding to the expense inquiry request according to the expense type parameter and the time parameter.

8. The method according to claim 1, wherein the operation path includes a project hierarchy, a subject hierarchy, a key node hierarchy, and a preamble sequence hierarchy, which are sequentially arranged, and the income dimension index is a summary index of operation indexes divided by the project hierarchy.

9. A management platform for operation data, comprising:

the display module is used for displaying the associated node configuration interface and the operation dynamic view;

At least one of the processors is configured to perform,

A memory communicatively coupled to the at least one processor; wherein,

The memory stores instructions that are executed by the at least one processor to cause the at least one processor to implement the method of managing operational data according to any one of claims 1 to 8 when executing the instructions.

10. A computer-readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of managing operation data according to any one of claims 1 to 8.