CN116028477A - OKR-based intelligent auxiliary system, control method, device and medium - Google Patents
OKR-based intelligent auxiliary system, control method, device and medium Download PDFInfo
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Abstract
The invention discloses a first aspect, and provides an intelligent auxiliary system control method based on OKR, which comprises active acquisition and passive acquisition, wherein the passive acquisition comprises; setting initial third party data, acquiring new third party data, and comparing the new third party data with the initial third party data; if the third party data changes, synchronizing the third party data to a OKR system; the active acquisition comprises the steps of receiving a reading instruction, wherein the reading instruction is used for displaying third-party data in a OKR system to a user, and setting a reading time period which is a threshold value of a period of time; and feeding back the third party data of the previous received read instruction or the third party data of the later received read instruction according to whether the interval time of the two adjacent received read instructions exceeds the read time period. The automatic synchronization technology is realized by not only manually filling in and updating, but also communicating the automatic office content, so that the aging is more accurate and the precision is higher.
Description
Technical Field
The invention relates to the technical field of office systems, in particular to an intelligent auxiliary system based on OKR, a control method, equipment and a medium.
Background
OKR (ObjectivesandKeyResults) is a target and key achievement method, is a set of management tools and methods for definitely and tracking targets and completion conditions thereof, the main target of OKR is to define the "targets" of companies and teams and define measurable "key results" achieved by each target, and the Intel corporation invented the method in 1999, and later promoted to high-tech companies such as Oracle, google, linkedIn by john doerr and gradually spread, and is now widely applied to various large and small enterprises taking projects as main operation units.
In the using process of the existing OKR target management system, the progress of O and KR can be manually adjusted only by a user, and cannot be automatically updated, so that the user is inconvenient to follow the progress and state of a target and a key result in real time.
The goal tracking progress (hereinafter "OKR progress") in OKR is an embodiment of determining the current goal completion, and thus requires frequent synchronous updates of the OKR progress content based on actual completion. In practical situations, however, a large number of KRs need to be updated frequently for each user, and if the updating is not timely, the overall business progress may be slow, and when the OKR progress is manually filled, the problem of excessively large deviation of the OKR progress in calculation may also occur.
At present, digital office has become mainstream, and a large amount of contents such as calculation data and task management are separated from paper tools and are converted into digital forms, so that the management and the search are more convenient and efficient, and a large amount of material resources can be saved. On the premise that the existing digital office content can be tracked and maintained more accurately on the OKR schedule, OKR schedule control is performed not only by manually filling in and updating, but also by communicating with the automatic office content, so that the automatic synchronization technology with more accurate aging and higher precision can be performed.
Disclosure of Invention
The invention aims to provide an intelligent auxiliary system based on OKR, a control method, equipment and a medium.
The embodiment of the invention is realized by the following technical scheme:
in a first aspect, there is provided an intelligent auxiliary system control method based on OKR, including active acquisition and passive acquisition, the passive acquisition including;
setting initial third party data, acquiring new third party data, and comparing the new third party data with the initial third party data;
if the third party data changes, synchronizing the third party data to a OKR system;
the active acquisition comprises;
receiving a reading instruction, wherein the reading instruction is used for displaying third-party data in a OKR system to a user;
setting a reading time period, wherein the reading time period is a period of time threshold;
and feeding back the third party data of the previous received read instruction or the third party data of the later received read instruction according to whether the interval time of the two adjacent received read instructions exceeds the read time period.
In a first possible implementation manner of the first aspect, the method further includes;
if the time of the last time of receiving the read instruction in the previous time is not longer than the read time period, directly feeding back the third party data of the previous time of receiving the read instruction, if the time of receiving the read instruction in the previous time is longer than the read time period, feeding back the third party data of the subsequent time of receiving the read instruction, storing the third party data of the subsequent time of receiving the read instruction, and updating and replacing the third party data of the previous time of receiving the read instruction.
In a second possible implementation manner of the first aspect, the synchronizing third party data to the OKR system includes;
setting a broadcast content agreement for a OKR system, wherein the broadcast content is third-party data;
when the constraint is met, broadcasting is carried out on the background, and a OKR system acquires broadcasting content and compares the broadcasting content with initial third party data preset by a OKR system;
if the data are inconsistent, the third party data are updated.
In a third possible implementation manner of the first aspect, the synchronizing third party data to the OKR system includes;
an identifier is set for each KR task, the interface of the OKR system is invoked, and the OKR progress is modified according to the specific identifier.
In a fourth possible implementation manner of the first aspect, updating the third party data that replaces the previously received read instruction includes;
establishing a third party database, wherein the third party database is used for storing a plurality of pieces of third party data;
setting third party data as user ID and necessary data;
converting the user ID and the necessary data into the required read data, associating the user ID with the OKR system, acquiring the necessary data of the user ID, and calculating the progress information of the user ID.
In a second aspect, there is provided an intelligent auxiliary system based on OKR, including the above-mentioned intelligent auxiliary system control method based on OKR, comprising;
the first system is used for acquiring third-party data, updating the third-party data and synchronizing the third-party data to the OKR system;
and the second system is used for receiving the reading instruction and displaying the reading instruction to a user for the third-party data in the OKR system.
And the third system is used for setting a reading time period and feeding back the third party data of the previous receiving reading instruction or the third party data of the later receiving reading instruction according to whether the interval time of the two adjacent receiving reading instructions exceeds the reading time period.
In a first possible implementation manner of the second aspect, the method further includes;
and the fourth system is used for converting the third party data of the third party database.
With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the fourth system includes;
a first module for importing data from a third party database;
the second module is used for data cleaning;
a third module for data integration;
and a fourth system database for connecting with the OKR system.
In a third aspect, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a OKR based intelligent auxiliary system control method according to any one of claims 1 to 5 when executing the computer program.
In a fourth aspect, a computer readable storage medium is provided, where a computer program is stored on the computer readable storage medium, and the computer program when executed by a processor implements a method for controlling an intelligent auxiliary system based on OKR as described above.
The technical scheme of the embodiment of the invention has at least the following advantages and beneficial effects:
the scheme provided by the invention is that the technology capable of automatically updating the system at the OKR progress mainly comprises two modes of active acquisition and passive acquisition, wherein the active synchronization of user open data is active update, wherein the user data can be configured through the system in the OKR system, if the user data information is in a third-party data platform, the data source needs to be configured in advance, when the OKR system needs to acquire the progress, the information of a key field is actively pulled and calculated, and the calculated interface is synchronized to the OKR progress; the user OKR progress data is passively synchronized, for passive update, through a reserved interface, the user can transfer the progress information to be updated into the OKR system in any time in an interface calling mode. If the user data is OKR, the user data can be associated with the system through the existing functions, and if the user data is data of a third-party system platform, the user data can be updated through an OPEN-API interface provided by the OKR system, and the passive update scheme can update OKR the progress to the latest state at the first time. The automatic synchronization technology is realized by not only manually filling in and updating, but also communicating the automatic office content, so that the aging is more accurate and the precision is higher.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, 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 invention 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 diagram of the association of the present invention with a data center DF;
FIG. 2 is a schematic diagram of the DF flow path of the data center station of the present invention;
FIG. 3 is a first computer terminal interface of the present invention;
FIG. 4 is a second computer terminal interface according to the present invention;
FIG. 5 is a third computer terminal operating interface of the present invention;
FIG. 6 is a diagram showing a fourth computer terminal operation interface according to the present invention;
FIG. 7 is a diagram showing a fifth computer terminal operation interface according to the present invention;
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Referring to fig. 1-2, in a first aspect, an intelligent auxiliary system control method based on OKR is provided, which mainly includes active acquisition and passive acquisition.
Passive acquisition may update OKR progress to the latest state at a first time, but passive acquisition requires that the internal or third party systems be guaranteed accurate and timely synchronization of data to the OKR system, while active acquisition may actively acquire user data for synchronization, if necessary.
The OKR system can convert the organization strategy into a clear target and a key result, so that more independent selectivity is given to staff, initiative of the staff is fully mobilized, and the organization strategy is aligned with the staff target. The achievement of the department OKR is ensured by the achievement of the post OKR, and the achievement of the company OKR is ensured by the achievement of the department OKR, thereby achieving the strategic goal of the company.
Specifically, the passive acquisition includes;
s101: setting initial third party data, acquiring new third party data, and comparing the new third party data with the initial third party data;
s102, if the third party data changes, synchronizing the third party data to a OKR system;
that is, the OKR system does not call other internal systems or third party systems to obtain the necessary progress information, and the internal systems or third party systems are collectively called as a call system, but the call system needs to synchronize the modified data to the OKR system and update the modified data.
In passive acquisition, the main point is that the calling system sends relevant data to the OKR system when updating own data, but in this way, missed and rare situations can occur, and the situation can be avoided when actively acquiring information.
The active acquisition comprises;
s201: receiving a reading instruction, wherein the reading instruction is used for displaying third-party data in a OKR system to a user;
since OKR schedule data is constantly changing during staff work, it is not necessary to update third party data at a high frequency since it is not always on display. The system only needs to display the progress value, executes corresponding operation, and displays the third party data after receiving the externally input reading instruction, wherein the third party data can be understood as OKR progress data.
S202: setting a reading time period, wherein the reading time period is a period of time threshold;
s203: and feeding back the third party data of the previous received read instruction or the third party data of the later received read instruction according to whether the interval time of the two adjacent received read instructions exceeds the read time period.
When the system needs to display the progress value, firstly verifying whether the field of the updated data is within a certain time, setting a reading time period, specifically a time threshold, and if the current existing data is updated within the set time, directly returning the current existing data to the user. If the set time is exceeded, the system is called to acquire related data, the latest data is updated to the database together with the current time, and the data is returned.
In a first possible implementation manner of the first aspect, the method further includes;
if the time of the last time of receiving the read instruction in the previous time is not longer than the read time period, directly feeding back the third party data of the previous time of receiving the read instruction, if the time of receiving the read instruction in the previous time is longer than the read time period, feeding back the third party data of the subsequent time of receiving the read instruction, storing the third party data of the subsequent time of receiving the read instruction, and updating and replacing the third party data of the previous time of receiving the read instruction.
An exemplary embodiment is provided as follows: the method comprises the steps that firstly, third party data receiving a reading instruction is A data, a reading time period is set to be 20 minutes, then third party data receiving the reading instruction is B data, if the direct interval between the A data and the B data is 3 minutes and is smaller than the set time threshold value for 20 minutes, the A data is fed back to a user in a direct descending mode, if the direct interval between the A data and the B data is 30 minutes and is larger than the set time threshold value for 20 minutes, data updating is conducted, the B data is replaced with the A data, the B data is fed back to the user, and the progress value cannot be actively obtained for modification in the reading time period.
In addition, in special cases, when the calling system pushes a message needing to be updated to the OKR system, active acquisition can be performed.
In the present invention, synchronizing third party data to the execution actions of the OKR system provides two possible implementations.
An exemplary embodiment of the present invention includes;
s301: setting a broadcast content agreement for a OKR system, wherein the broadcast content is third-party data;
s302: when the constraint is met, broadcasting is carried out on the background, and a OKR system acquires broadcasting content and compares the broadcasting content with initial third party data preset by a OKR system;
s303: if the data are inconsistent, the third party data are updated.
Specifically, for example, when the TOTAL amount of the system is called for updating, the calling system can broadcast data (the broadcasting technical scheme is not limited to redis, rabbitmq and the like) to the KEY update_total_MONEY in the background, after the OKR system accepts a data request, the OKR system can perform open change and calculation according to a formula ready for accepting the KEY in advance, and when the calculation is completed, the latest progress of the calculation is updated to the OKR system immediately.
It should be noted that redis is a key-value storage system. Like Memcached, it supports relatively more stored value types, including string, list, set, zset (sorted set-ordered set), and hash (hash type). These data types all support push/pop, add/remove, and pick intersection union and difference and richer operations, and these operations are all atomic. On this basis, redis supports a variety of different ways of ordering. Like memcached, data is cached in memory to ensure efficiency. Except that redis will periodically write updated data to disk or modify operations to additional record files, and master-slave synchronization is implemented on this basis.
RabbitMQ is a set of open source (MPL) message queue service software, an open source implementation of Advanced Message Queuing Protocol (AMQP) provided by LShift, written by Erlang, which is well-known for high performance, robustness and scalability.
In one exemplary embodiment of the invention, synchronizing third party data to a OKR system includes;
s401, an identifier is set for each KR task, an interface of a OKR system is called, and the OKR progress is modified according to the specific identifier.
Specifically, each KR task is identified by a unique ID, and the calling system can call the OPEN-API interface (needed to be validated) provided by the OKR system by the unique ID to modify the specific OKR schedule.
The invention also provides an intelligent auxiliary system based on OKR, which comprises the intelligent auxiliary system control method based on OKR, and comprises the following steps of;
a first system for acquiring third party data, updating and synchronizing the third party data to the OKR system, which may be the calling system above
And the second system is used for receiving the reading instruction and displaying the reading instruction to a user for the third-party data in the OKR system.
And the third system is used for setting a reading time period and feeding back the third party data of the previous receiving reading instruction or the third party data of the later receiving reading instruction according to whether the interval time of the two adjacent receiving reading instructions exceeds the reading time period.
In a first possible implementation manner of the second aspect, the method further includes;
and the fourth system is used for converting the third party data of the third party database.
The fourth system can be a local centralized Data center Data Foundation, and the system can synchronize user Data in real time and process necessary Data to the system for use.
Specifically, the method comprises a first module for importing data from a third party database; the second module is used for data cleaning; a third module for data integration; and a fourth system database for connecting with the OKR system.
S501: establishing a third party database, wherein the third party database is used for storing a plurality of pieces of third party data;
s502: setting third party data as user ID and necessary data;
s503: converting the user ID and the necessary data into the required read data, associating the user ID with the OKR system, acquiring the necessary data of the user ID, and calculating the progress information of the user ID.
Specifically, the present invention provides a specific embodiment of the present invention.
One piece of data of the third party database has the following contents:
id, user_name, user_id, user_age, shop_name, shop_price, field_number, create, update, etc.,
however, for the OKR requirement, only the total amount sold by the shop and the relationship between the user may be needed, so after importing the Data transaction, the above Data is converted into the following:
the user_id and the shop_total_price, so that the OKR system can calculate the corresponding progress information only by associating the ID and the total amount of the user. In addition, the Data Foundation system can isolate external Data from internal Data, so that the normal use of the OKR system can be prevented from being influenced when a third party system has a problem.
As shown in fig. 3 to fig. 7, in the specific operation of the computer terminal platform, when the third party database is associated with the Data Foundation and preprocessing is completed, the "associated Data and automatic update" function is used in the OKR system, the "query condition" is input in the input box of the associated Data, the preprocessed Data can be found in the local centralized Data Foundation by the input query condition, after the Data is synchronously associated with the OKR system, the KR progress can be synchronized with the Data in the Data Foundation according to the associated Data, and the KR progress in the OKR system can be synchronously updated along with the change of the Data in the third party database, so that the effect that the KR progress is automatically updated according to the Data of the third party database is achieved.
The specific steps are that,
and automatically updating the KR progress according to the data. The administrator associates the enterprise data on a setup-data management-data association page.
2. And after the table label is input, selecting a table of data for association, and after the data association is successful, recording the data details of the successful association in a page of the data association.
3. After the data association, the user may use the KR's progress "auto update" function in the OKR homepage.
4. After inputting the correct "inquiry condition", click "confirm" to start the automatic update function. After the automatic updating function is opened, the current value and the current progress of the KR are automatically updated according to the data; KR being automatically updated according to the data can be seen in the state.
In a third aspect, there is provided an electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a OKR based intelligent auxiliary system control method according to any one of claims 1 to 5 when executing the computer program.
In a fourth aspect, a computer readable storage medium is provided, where a computer program is stored on the computer readable storage medium, and the computer program when executed by a processor implements a method for controlling an intelligent auxiliary system based on OKR as described above.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The OKR-based intelligent auxiliary system control method is characterized by comprising active acquisition and passive acquisition, wherein the passive acquisition comprises;
setting initial third party data, acquiring new third party data, and comparing the new third party data with the initial third party data;
if the third party data changes, synchronizing the third party data to a OKR system;
the active acquisition comprises;
receiving a reading instruction, wherein the reading instruction is used for displaying third-party data in a OKR system to a user;
setting a reading time period, wherein the reading time period is a period of time threshold;
and feeding back the third party data of the previous received read instruction or the third party data of the later received read instruction according to whether the interval time of the two adjacent received read instructions exceeds the read time period.
2. The OKR-based intelligent auxiliary system control method of claim 1, further comprising;
if the time of the last time of receiving the read instruction in the previous time is not longer than the read time period, directly feeding back the third party data of the previous time of receiving the read instruction, if the time of receiving the read instruction in the previous time is longer than the read time period, feeding back the third party data of the subsequent time of receiving the read instruction, storing the third party data of the subsequent time of receiving the read instruction, and updating and replacing the third party data of the previous time of receiving the read instruction.
3. The OKR-based intelligent auxiliary system control method of claim 1, wherein synchronizing third party data to a OKR system comprises;
setting a broadcast content agreement for a OKR system, wherein the broadcast content is third-party data;
when the constraint is met, broadcasting is carried out on the background, and a OKR system acquires broadcasting content and compares the broadcasting content with initial third party data preset by a OKR system;
if the data are inconsistent, the third party data are updated.
4. The OKR-based intelligent auxiliary system control method of claim 1, wherein synchronizing third party data to a OKR system comprises;
an identifier is set for each KR task, the interface of the OKR system is invoked, and the OKR progress is modified according to the specific identifier.
5. The OKR-based intelligent auxiliary system control method as claimed in claim 1, wherein updating the third party data replacing the previously received read instruction comprises;
establishing a third party database, wherein the third party database is used for storing a plurality of pieces of third party data;
setting third party data as user ID and necessary data;
converting the user ID and the necessary data into the required read data, associating the user ID with the OKR system, acquiring the necessary data of the user ID, and calculating the progress information of the user ID.
6. An intelligent auxiliary system based on OKR, comprising the intelligent auxiliary system control method based on OKR as described in any one of the above 1-5, and characterized by comprising;
the first system is used for acquiring third-party data, updating the third-party data and synchronizing the third-party data to the OKR system;
and the second system is used for receiving the reading instruction and displaying the reading instruction to a user for the third-party data in the OKR system.
And the third system is used for setting a reading time period and feeding back the third party data of the previous receiving reading instruction or the third party data of the later receiving reading instruction according to whether the interval time of the two adjacent receiving reading instructions exceeds the reading time period.
7. A OKR-based intelligent assistance system according to claim 6, further comprising;
and the fourth system is used for converting the third party data of the third party database.
8. A OKR-based intelligent assistance system according to claim 7, wherein said fourth system comprises;
a first module for importing data from a third party database;
the second module is used for data cleaning;
a third module for data integration;
and a fourth system database for connecting with the OKR system.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements a OKR-based intelligent auxiliary 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 intelligent auxiliary system control method according to any one of claims 1 to 5.
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