CN117172695A - OKR-based operating system, control method, device and medium - Google Patents
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Abstract
The application relates to the technical field of computers, in particular to an operating system based on OKR, a control method, equipment and a medium, wherein a first system reads data from a database according to a predefined synchronous time and stores the data into the first system; the second system acquires the data stored in the first system, creates an instrument panel in the second system, and configures one or more table contents in the instrument panel for displaying the data stored in the first system; KR data in O and O are created in the OKR system, the dashboard created in the second system is selected, and the dashboard data is correlated to the piece of KR or O for data analysis. Presenting OKR results through a dashboard may help users more intuitively understand their progress and outcome to better manage and improve their own work and goals. The results of OKR are visualized in the form of charts, tables and the like so that the user can more intuitively know the data condition of each key result.
Description
Technical Field
The application relates to the technical field of computers, in particular to an operating system based on OKR, a control method, equipment and a medium.
Background
OKR, collectively Objectives and Key Results (objective and key outcome), is an objective management method and tool. The core idea is to guide the work of organizations, teams and individuals by setting definite targets and key results so that the work is focused, efficient and effective. OKR is generally challenging and scalable, and the key results are specific metrics and data that scale the implementation of the target. OKR is derived from intel corporation and is widely used by google and other technological companies.
OKR is a software or tool that is intended to assist organizations, teams, and individuals in target management and execution using the OKR method. OKR systems typically provide the following functions: setting a target: targets may be created, edited, shared, and managed. Key results: key results can be set for each target and metrics and data to measure and track progress can be set. Progress tracking: the progress of the target and key results can be checked and tracked, and the execution conditions of the whole organization, team and person can be known. Feedback and evaluation: real-time feedback can be given and received to assess the achievement of the objective and key results. Data analysis: the OKR implementation effect, optimization and tuning OKR policies can be understood by the data analysis tool. Common OKR systems are Asana, workboard, 7Geese, perdoo, etc.
However, the current OKR system is generally limited to giving and receiving real-time feedback during the feedback and evaluation process, and the evaluation goal and the key result are not associated with the related chart, so that the obtained result is not as intuitive.
Disclosure of Invention
The application provides an operating system based on OKR, a control method, equipment and a medium, which aim to improve the current OKR system and enable the OKR system to be associated with a related icon system so as to obtain visual result display.
The embodiment of the application is realized by the following technical scheme:
in a first aspect, the present application provides an operating system control method based on OKR, including;
the first system reads data from a database according to the predefined synchronous time and stores the data into the first system;
the second system acquires the data stored in the first system, creates an instrument panel in the second system, and configures one or more table contents in the instrument panel for displaying the data stored in the first system;
KR data in O and O are created in the OKR system, the dashboard created in the second system is selected, and the dashboard data is correlated to the piece of KR or O for data analysis.
One possible implementation manner, the storing the data into the first system further includes;
converting the raw data into initial data usable for data analysis and reporting;
converting the initial data from the source format to usable data suitable for the first system format;
the available data is loaded into the first system.
A possible implementation, the loading further includes;
full load for loading all data into the first system or delta load for loading only newly added and changed data into the first system.
One possible implementation manner, the second system acquires data stored by the first system, including;
setting a calling rule, namely dividing the data into a plurality of types, marking the data of each type, and selecting the data marked by the same type for combination.
One possible implementation manner further comprises;
an ID is set for the dashboard in each KR, and a read signal is sent to the second system through the OKR system, where the read signal includes the ID of the dashboard and the filter field, and the OKR system reads the dashboard with the ID and displays the dashboard.
In a second aspect, the present application also provides an operating system based on OKR, comprising;
the receiving module is configured to read data from the database according to the predefined synchronous time by the first system and store the data into the first system;
the first processing module is configured to acquire data stored in the first system by the second system, create an instrument panel in the second system, and configure contents of one or more tables in the instrument panel for displaying the data stored in the first system;
and the second processing module OKR system creates at least one piece of KR data, selects an instrument panel created in the second system and stores the instrument panel into the piece of KR data.
And the second processing module OKR system creates at least one piece of KR data, selects an instrument panel created in the second system and stores the instrument panel into the piece of KR data.
A possible implementation manner, the first system in the receiving module is specifically configured to convert the original data into initial data that can be used for data analysis and reporting; converting the initial data from the source format to usable data suitable for the first system format; the available data is loaded into the first system.
In a possible implementation manner, the OKR system in the second processing module is specifically configured to set an ID for the dashboard in each KR, and send a read signal to the second system through the OKR system, where the read signal includes the ID of the dashboard and a filtering field, and the OKR system reads the dashboard with the ID and displays the dashboard.
In a third aspect, the present application further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements a control method based on an operating system of OKR when executing the computer program.
In a fourth aspect, the present application further provides a computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing a OKR-based operating system control method as described above.
The technical scheme of the embodiment of the application has at least the following advantages and beneficial effects:
1. after the KR association chart function is added, the results of OKR are displayed through the dashboard, so that the user can be helped to know the progress and the achievement of the user more intuitively, and the user can manage and improve the work and the goal of the user better. And updating the data in real time and displaying the current progress situation, so that the user is helped to know the real-time progress of the target. The results of OKR are visualized in the form of charts, tables and the like so that a user can more intuitively know the data condition of each key result and analyze the data in different dimensions.
2. The data report can intuitively display the target and the actual progress of OKR in the forms of charts, tables and the like, so that managers and staff can know the progress situation and related data of the target more clearly, and the sharing, the cooperation and the adjustment of the whole staff are facilitated.
3. The real-time monitoring is that the data report can update data at any time and reflect the target progress condition in real time, thereby helping the team to better know the state of the team, discover the problem in time and solve the problem in time.
4. Timely feedback, namely reminding staff of target progress through various notification and reminding modes, timely adjusting working directions, and being beneficial to improving efficiency and accuracy, so that staff always keep high consciousness and definite directivity in the process of pursuing targets.
5. And the data report can be classified, analyzed, compared and predicted according to different levels and dimensions of the target, so that a manager is helped to carry out fine management and decision.
6. The data report forms can be used for summarizing and comparing the data of a plurality of targets, so that the conditions of business condition market trend, user demand and the like can be better known, and more data support and decision reference are provided for the decision of a company.
7. Associating OKR with the data report can help enterprises to realize overall process visualization of target management, and scientization and refinement of data decisions, and improve team cooperation efficiency and decision level.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the overall structure of the present application;
FIG. 2 is a schematic flow chart of the present application;
FIG. 3 is a data diagram of a direct association of the system of the present application;
FIG. 4 is a flow chart of the present application where O shows a legend through the BI data associated with the KR to which O belongs.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
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. The naming or numbering of the steps in the present application does not mean that the steps in the method flow must be executed according to the time/logic sequence indicated by the naming or numbering, and the execution sequence of the steps in the flow that are named or numbered may be changed according to the technical purpose to be achieved, so long as the same or similar technical effects can be achieved.
The division of the modules in the present application is a logical division, and there may be other manners of division in practical implementation, for example, multiple modules may be combined or integrated in another system, or some features may be omitted or not performed.
The modules or sub-modules described separately may or may not be physically separate, may or may not be implemented in software, and may be implemented in part in software, where the processor invokes the software to implement the functions of the part of the modules or sub-modules, and where other parts of the templates or sub-modules are implemented in hardware, for example in hardware circuits. In addition, some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application.
Referring to fig. 1-2, the present application provides an operating system control method based on OKR, which includes;
s101: the first system reads data from a database according to the predefined synchronous time and stores the data into the first system;
in the first system, data is read from other databases according to a predefined synchronization time and stored locally, and one or more steps of data extraction, data cleansing, data conversion, data loading and data modeling are generally performed.
The original data is changed into directly usable data which is directly stored in the first system so that other systems can directly use the processed data. When other systems need to acquire the data which is well arranged in the first system, an interface provided by the first system can be called for data access.
S102: the second system acquires the data stored in the first system, creates an instrument panel in the second system, and configures one or more table contents in the instrument panel for displaying the data stored in the first system;
s103: KR data in O and O are created in the OKR system, a dashboard created in the second system is selected, and the dashboard data is correlated to the piece of KR data or O for data analysis.
An ID is set for each dashboard in KR or O, a read signal is sent to the second system through the OKR system, the read signal comprises the ID of the dashboard and a filtering field, and the OKR system reads the dashboard with the ID and displays the dashboard.
In this embodiment, the O-connection graph will have two ways of association.
The method comprises the following steps: similar to KR, selecting a dashboard in the second system, storing the ID in the dashboard into O, sending a reading signal to the second system through O, wherein the reading signal comprises the ID and a filtering field of the dashboard, and correlating and displaying the dashboard with the ID read by O.
And two,: as shown in fig. 4, O needs to configure a plurality of associated KR entries, the data of the KR entry configuration needs to be read from the second system, and the O is configured graphically, and this configuration mainly provides a basis for how to read and calculate the data from the KR data. When the chart needs to be displayed, the O acquires and calculates data through configuration, and the chart data is directly displayed on the page.
After the KR and O association chart function is added, the results of OKR are displayed through the dashboard, so that the user can be helped to know the progress and the achievement of the user more intuitively, and the user can manage and improve the work and the goal of the user better. And updating the data in real time and displaying the current progress situation, so that the user is helped to know the real-time progress of the target. The results of OKR are visualized in the form of charts, tables and the like so that a user can more intuitively know the data condition of each key result and analyze the data in different dimensions.
In the present embodiment, the processing of data is more detailed;
and (3) data extraction: data is extracted from various data sources (e.g., databases, files, APIs, etc.) and loaded into a data warehouse. The data extraction may be performed on a regular or real-time basis as desired.
Data cleaning: cleaning data is the process of converting raw data into clean data that can be used for data analysis and reporting. The data cleaning includes operations of removing duplicate entries, repairing missing values, parsing data formats, etc., to ensure accuracy and consistency of the data.
Data conversion: data conversion is the process of converting data from a source format to a format suitable for a target data warehouse. The conversion includes merging multiple data sources, stripping unnecessary data, adding computation fields, aggregating, and the like.
And (3) loading data: the cleaned and converted data is loaded into a data warehouse. The data loading can be divided into a full load mode and an incremental load mode, wherein the full load mode loads all data into the data warehouse, and the incremental load mode only loads newly added and changed data into the data warehouse, so that the data loading efficiency is improved.
Modeling data: a data model is built in the data warehouse to facilitate data analysis and reporting. Data modeling includes operations to define dimensions and fact tables, create relationships, define hierarchies, and the like.
One possible implementation, the second system obtaining the data stored by the first system includes setting call rules to obtain and filter the data content.
Specifically, the method comprises the steps of classifying data into a plurality of types, marking each type of data, and selecting the data marked by the same type for combination.
For example: the first system has a set of sales data including sales data of each commodity in one year, and each piece of data includes a daily sales number and sales total of one commodity. Marking each commodity as A1 to AN, the sales amount of one day as B1 to BN, the sales amount of one day as C1 to CN, N representing the Nth commodity, by configuring the instrument panel through the second system, simple single sales data can be changed into visualized statistical report data, and according to the configuration in the second system, the following visualization table can be achieved without being limited to the following:
ranking of sales totals for each commodity for one year. For example, all the data of B1 to BN in one year is extracted for processing ranking.
In a change map of sales amount of a commodity in one year, for example, when it is necessary to extract sales amount of A1 commodity, data of all C1 in the year are extracted, and calculation processing is performed for each month.
In a second aspect, the present application also provides an operating system based on OKR, comprising;
the receiving module is configured to read data from the database according to the predefined synchronous time by the first system and store the data into the first system;
the first processing module is configured to acquire data stored in the first system by the second system, create an instrument panel in the second system, and configure contents of one or more tables in the instrument panel for displaying the data stored in the first system;
and the second processing module OKR system creates O and KR data, selects an instrument panel created in the second system, and correlates the data of the instrument panel to the data of the KR or O for data analysis.
A possible implementation manner, the first system in the receiving module is specifically configured to convert the original data into initial data that can be used for data analysis and reporting; converting the initial data from the source format to usable data suitable for the first system format; the available data is loaded into the first system.
In a possible implementation manner, the OKR system in the second processing module is specifically configured to set an ID for the dashboard in each KR, and send a read signal to the second system through the OKR system, where the read signal includes the ID of the dashboard and a filtering field, and the OKR system reads the dashboard with the ID and displays the dashboard.
Further explanation is made below with reference to fig. 3, which illustrates an example;
in this embodiment, the first system may be a DataFoundation system, which will be hereinafter simply referred to as DF system, which is a data management and analysis platform for helping enterprises to implement data-driven decision making and service transformation. The system can help enterprises collect, integrate, and process data from various data sources, provide visual and interactive data analysis and reporting, help enterprises manage data assets, improve data quality, and data security.
The second system can be a BI dashboard system, is a module for realizing data visualization, and is a data virtualization tool for displaying the current situation of measurement information and key business indexes (KPIs) to enterprises.
OKR, which may be OKR, includes goal setting, key results, progress tracking, feedback and assessment, data analysis, and the like.
In DF systems, data is read from other databases and stored locally according to predefined synchronization times, typically one or more of data extraction, data cleansing, data conversion, data loading, and data modeling. When completed, the original data becomes directly usable data which is directly stored in the DF data warehouse so that other systems can directly use the processed data. When other systems need to acquire the data arranged in the DF, an API interface provided by the DF can be called for data access.
In the BI system, a dashboard is created, and one or more tables are configured in the dashboard, where each table may choose to display or count the data content in the DF in a plurality of types of manners, such as pie charts or line charts. The data content acquired in the BI is acquired through an API interface of the DF. Various rules may be added during the invocation process to retrieve and filter the data content. For example: the DF has a set of sales data, which contains sales data of each commodity in one year, each piece of data comprises the sales number and sales total of one commodity in one day, simple single sales data can be changed into visual statistical report data through a BI configuration dashboard, and the following visual tables can be achieved according to the configuration in the BI, but are not limited to the following: ranking of sales totals for each commodity for one year; a sales change chart of each month in one year of a commodity; the distribution of sales volume for different products over the same time period, etc.
When the dashboard configuration is completed, the dashboard contents are saved, and an ID (hereinafter dashboard ID) of the dashboard is obtained, and the dashboard ID is used in OKR by the system.
OKR, data for creating at least one KR is required to bind dashboards in BI. In the binding process, page OKR acquires all dashboard lists configured by the BI system, and after selecting the dashboard content, stores dashboard IDs of the dashboard in the BI into corresponding KR data. When OKR needs to be displayed, OKR pages will transfer the dashboard ID in each KR and the start_date and end_date fields in the OKR self configuration to the BI system as basic parameters to obtain the designated dashboard, filter according to the start_date and end_date fields, and display the obtained BI dashboard content in the OKR system.
The scheme adopted by the application has at least the following advantages:
the data report can intuitively display the target and the actual progress of OKR in the forms of charts, tables and the like, so that managers and staff can know the progress situation and related data of the target more clearly, and the sharing, the cooperation and the adjustment of the whole staff are facilitated.
Real-time monitoring, wherein the data report can update data at any time and reflect the target progress in real time, thereby helping the team to better know
The state of the self finds out the problem in time and solves the problem in time.
Timely feedback, namely reminding staff of target progress through various notification and reminding modes, timely adjusting working directions, and being beneficial to improving efficiency and accuracy, so that staff always keep high consciousness and definite directivity in the process of pursuing targets.
And the data report can be classified, analyzed, compared and predicted according to different levels and dimensions of the target, so that a manager is helped to carry out fine management and decision.
The data report forms can be used for summarizing and comparing the data of a plurality of targets, so that the conditions of business condition market trend, user demand and the like can be better known, and more data support and decision reference are provided for the decision of a company.
Associating OKR with the data report can help enterprises to realize the whole process visualization of target management, and the scientization and refinement of data decision, improve the collaboration efficiency and decision level of the team,
in addition, each functional unit of the present application may be integrated in one processing unit, 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. The computer software product is stored in a storage medium and includes instructions for causing 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 methods of the various embodiments of the application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A OKR-based operating system control method, comprising;
the first system reads data from a database according to the predefined synchronous time and stores the data into the first system;
the second system acquires the data stored in the first system, creates an instrument panel in the second system, and configures one or more table contents in the instrument panel for displaying the data stored in the first system;
KR data in O and O are created in the OKR system, a dashboard created in the second system is selected, and the dashboard data is correlated to the piece of KR data or O for data analysis.
2. The OKR-based operating system control method as recited in claim 1 wherein storing the data in the first system further comprises;
converting the raw data into initial data usable for data analysis and reporting;
converting the initial data from the source format to usable data suitable for the first system format;
the available data is loaded into the first system.
3. The OKR-based operating system control method of claim 2, wherein the loading further comprises;
full load for loading all data into the first system or delta load for loading only newly added and changed data into the first system.
4. The OKR-based operating system control method as claimed in claim 2, wherein the second system acquiring data stored by the first system includes;
setting a calling rule, wherein the calling rule comprises dividing data into a plurality of types, marking the data of each type by a first identifier, and marking the data of different individuals by a second identifier;
the first identification and the second identification data are selected for combination according to the desired result.
5. The operating system control method based on OKR of claim 1, further comprising;
an ID is set for each dashboard in KR or O, a read signal is sent to the second system through the OKR system, the read signal comprises the ID of the dashboard and a filtering field, and the OKR system reads the dashboard with the ID and displays the dashboard.
6. An operating system based on OKR, comprising;
the receiving module is configured to read data from the database according to the predefined synchronous time by the first system and store the data into the first system;
the first processing module is configured to acquire data stored in the first system by the second system, create an instrument panel in the second system, and configure contents of one or more tables in the instrument panel for displaying the data stored in the first system;
the second processing module OKR system creates at least one piece of KR data in O, selects a dashboard created within the second system, and correlates the dashboard data into the piece of KR or O for data analysis.
7. The OKR-based operating system of claim 6, wherein the first system in the receiving module is specifically configured to convert raw data into initial data that can be used for data analysis and reporting; converting the initial data from the source format to usable data suitable for the first system format; the available data is loaded into the first system.
8. The system of claim 6, wherein the OKR system in the second processing module is specifically configured to set an ID for the dashboard in each KR, and send a read signal to the second system through the OKR system, where the read signal includes the ID of the dashboard and the filtering field, and the OKR system reads the dashboard with the ID and displays the dashboard.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements a OKR based operating system control method according to any one of claims 1 to 5 when executing the computer program.
10. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when executed by a processor, the computer program implements a OKR-based control method of an operating system according to any one of claims 1 to 8.
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| CN202311039006.5A CN117172695A (en) | 2023-08-17 | 2023-08-17 | OKR-based operating system, control method, device and medium |
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| CN202311039006.5A CN117172695A (en) | 2023-08-17 | 2023-08-17 | OKR-based operating system, control method, device and medium |
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