Data asset management method and system based on big data platform

Abstract

The invention provides a data asset management method and system based on a big data platform. The method comprises the following steps: S1, collecting data asset information of a plurality of management targets through the big data platform; and S2, performing multi-modal management on the data asset information of each management target. According to the data asset management method and system based on the big data platform, the data asset information of a plurality of management targets is automatically collected through the big data platform, and multi-modal management is automatically performed on the data asset information of each management target; and the storage, management and analysis capabilities of the system on data asset information with diversified and massive data sources and constantly changing data requirements are improved to a great extent.

Description

Technical Field

[0001] The present invention relates to the field of big data technology, and in particular to a data asset governance method and system based on a big data platform. Background Art

[0002] Currently, data assets are the various data resources accumulated by enterprises during their daily operations, including customer data, transaction records, and market research data. These data represent the core information assets of an enterprise and have enormous potential value. They can support enterprise decision-making and drive business innovation and optimization.

[0003] However, as the amount of data assets continues to grow, the storage, management, and analysis of data assets have become more complex. Traditional data management methods can no longer effectively cope with the diverse and massive data sources and ever-changing data needs. Summary of the Invention

[0004] One of the purposes of the present invention is to provide a data asset governance method based on a big data platform, which automatically collects data asset information of multiple management targets through the big data platform and automatically performs multimodal governance on the data asset information of each management target, thereby greatly improving the system's ability to store, manage, and analyze data asset information from diverse and massive data sources and constantly changing data needs.

[0005] The data asset governance method based on a big data platform provided by an embodiment of the present invention includes:

[0006] Collect data asset information for multiple management objectives through the big data platform;

[0007] Carry out multimodal governance of data asset information for each management objective.

[0008] Optional data asset governance methods based on big data platforms also include:

[0009] Analyze the data asset information of each management target and generate data asset quality evaluation reports and data asset inventory reports;

[0010] Output data asset quality evaluation report and data asset inventory report.

[0011] Optionally, the multimodal governance of the data asset information of each management target includes:

[0012] Conduct data quality management on data asset information of each management target;

[0013] and / or,

[0014] Perform metadata management on the data asset information of each management target;

[0015] and / or,

[0016] Conduct data security and privacy management for the data asset information of each management target;

[0017] and / or,

[0018] Standardize the management of data asset information for each management target;

[0019] and / or,

[0020] Perform data lifecycle management on the data asset information of each management target.

[0021] Optionally, the data quality management steps include at least: data cleaning, verification and standardization.

[0022] Optionally, the metadata management step includes at least: data definition and description, data source management, and usage scenario management.

[0023] Optionally, the steps of data security and privacy management include at least: data encryption, access control, sensitive data protection, and data compliance management.

[0024] Optionally, the standardization management step includes at least: unifying the definition criteria of data naming, data definition, data type and assignment rules.

[0025] Optionally, the data lifecycle management step includes at least: retaining, archiving and disposing of data throughout the entire data lifecycle from creation to archiving or disposal.

[0026] Optional data asset governance methods based on big data platforms also include:

[0027] Build a visualization model based on multimodal governed data asset information;

[0028] Conduct data asset monitoring and early warning based on visualization models;

[0029] The data asset monitoring and early warning based on the visualization model includes:

[0030] Conduct virtual attendance of early warning meetings for multiple managers using a visualization model; during the early warning meeting, the visualization model displays early warning events to each manager who is virtually participating; and within a preset time after the trigger moment, detect whether the distribution of the attendance locations of each manager who is virtually participating in the early warning meeting has changed;

[0031] When changes occur, the visualization model is optimized to display the future timeline of warning events based on the change information of the participant location distribution;

[0032] The steps for obtaining the trigger moment are as follows:

[0033] When the administrator of the virtual conference continuously generates the first Nj standard conference actions in the same standard conference action set, the moment when he generates any of the last j standard conference actions in the standard conference action set is used as the trigger moment; N is the total number of standard conference actions in the standard conference action set;

[0034] and / or,

[0035] The moment when at least two managers participating in the virtual meeting continuously maintain a standard mutual relationship for a duration threshold is used as the trigger moment;

[0036] Among them, based on the changing information of the distribution of the meeting location, the visualization model is optimized to display the future display timeline of the warning event, including:

[0037] When the change information of the participant location distribution indicates that the participant locations of at least two virtual participants are newly adjacent to each other, determining a plurality of joint purposes based on the personnel portraits corresponding to the at least two virtual participants;

[0038] Calculate the joint time of each joint purpose; wherein the joint time is the corresponding value in the time library of the content type related to the joint purpose during the early warning event display of the visualization model between the trigger moment and the last trigger moment;

[0039] The content within the target time before the future display timeline is optimized to adapt to the target joint purpose; wherein the target time is the average value of the joint time exceeding the time threshold, and the target joint purpose is the joint purpose when the joint time exceeds the time threshold.

[0040] An embodiment of the present invention provides a data asset management system based on a big data platform, including:

[0041] Big data platform module, used to collect data asset information of multiple management targets through the big data platform;

[0042] The data asset governance module is used to perform multimodal governance of data asset information for various management objectives.

[0043] Optional data asset governance system based on the big data platform also includes:

[0044] Report analysis module for:

[0045] Analyze the data asset information of each management target and generate data asset quality evaluation reports and data asset inventory reports;

[0046] Output data asset quality evaluation report and data asset inventory report.

[0047] Optionally, the data asset governance module performs multimodal governance on the data asset information of each management target, including:

[0048] Conduct data quality management on data asset information of each management target;

[0049] and / or,

[0050] Perform metadata management on the data asset information of each management target;

[0051] and / or,

[0052] Conduct data security and privacy management for the data asset information of each management target;

[0053] and / or,

[0054] Standardize the management of data asset information for each management target;

[0055] and / or,

[0056] Perform data lifecycle management on the data asset information of each management target.

[0057] Optionally, the data quality management steps include at least: data cleaning, verification and standardization.

[0058] Optionally, the metadata management step includes at least: data definition and description, data source management, and usage scenario management.

[0059] Optionally, the steps of data security and privacy management include at least: data encryption, access control, sensitive data protection, and data compliance management.

[0060] Optionally, the standardization management step includes at least: unifying the definition criteria of data naming, data definition, data type and assignment rules.

[0061] Optionally, the data lifecycle management step includes at least: retaining, archiving and disposing of data throughout the entire data lifecycle from creation to archiving or disposal.

[0062] Optional data asset governance system based on the big data platform also includes:

[0063] Visual monitoring and early warning module, used for:

[0064] Build a visualization model based on multimodal governed data asset information;

[0065] Conduct data asset monitoring and early warning based on visualization models;

[0066] The data asset monitoring and early warning based on the visualization model includes:

[0067] Conduct virtual attendance of early warning meetings for multiple managers using a visualization model; during the early warning meeting, the visualization model displays early warning events to each manager who is virtually participating; and within a preset time after the trigger moment, detect whether the distribution of the attendance locations of each manager who is virtually participating in the early warning meeting has changed;

[0068] When changes occur, the visualization model is optimized to display the future timeline of warning events based on the change information of the participant location distribution;

[0069] The steps for obtaining the trigger moment are as follows:

[0070] When the administrator of the virtual conference continuously generates the first Nj standard conference actions in the same standard conference action set, the moment when he generates any of the last j standard conference actions in the standard conference action set is used as the trigger moment; N is the total number of standard conference actions in the standard conference action set;

[0071] and / or,

[0072] The moment when at least two managers participating in the virtual meeting continuously maintain a standard mutual relationship for a duration threshold is used as the trigger moment;

[0073] Among them, based on the changing information of the distribution of the meeting location, the visualization model is optimized to display the future display timeline of the warning event, including:

[0074] When the change information of the participant location distribution indicates that the participant locations of at least two virtual participants are newly adjacent to each other, determining a plurality of joint purposes based on the personnel portraits corresponding to the at least two virtual participants;

[0075] Calculate the joint time of each joint purpose; wherein the joint time is the corresponding value in the time library of the content type related to the joint purpose during the early warning event display of the visualization model between the trigger moment and the last trigger moment;

[0076] The content within the target time before the future display timeline is optimized to adapt to the target joint purpose; wherein the target time is the average value of the joint time exceeding the time threshold, and the target joint purpose is the joint purpose when the joint time exceeds the time threshold.

[0077] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0078] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0079] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0080] Figure 1 Schematic diagram of a data asset governance method based on a big data platform according to an embodiment of the present invention;

[0081] Figure 2 This is another schematic diagram of the data asset governance method based on the big data platform according to an embodiment of the present invention;

[0082] Figure 3 This is another schematic diagram of the data asset governance method based on the big data platform according to an embodiment of the present invention;

[0083] Figure 4 This is a schematic diagram of a data asset governance system based on a big data platform in an embodiment of the present invention. DETAILED DESCRIPTION

[0084] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0085] The embodiment of the present invention provides a data asset management method based on a big data platform, such as Figure 1 Shown, including:

[0086] S1. Collect data asset information of multiple management targets through the big data platform;

[0087] S2. Conduct multimodal governance of data asset information for each management objective;

[0088] The multimodal governance of data asset information for each management target includes:

[0089] Conduct data quality management on data asset information of each management target;

[0090] and / or,

[0091] Perform metadata management on the data asset information of each management target;

[0092] and / or,

[0093] Conduct data security and privacy management for the data asset information of each management target;

[0094] and / or,

[0095] Standardize the management of data asset information for each management target;

[0096] and / or,

[0097] Perform data lifecycle management on the data asset information of each management target.

[0098] Management targets can be various parts of the same enterprise. Leveraging the big data platform's massive data collection and storage capabilities, data asset information for each management target is collected, including at least customer data, transaction records, and market research data. After collection, this data asset information is subject to multimodal governance, including but not limited to data quality management, metadata management, data security and privacy management, standardization management, and data lifecycle management.

[0099] This application automatically collects data asset information of multiple management targets through a big data platform, and automatically performs multimodal governance on the data asset information of each management target, thereby improving the system's ability to store, manage, and analyze data asset information from diverse and massive data sources and ever-changing data needs.

[0100] In one embodiment, a data asset governance method based on a big data platform, such as Figure 2 As shown, it also includes:

[0101] S3. Analyze the data asset information of each management target and generate a data asset quality evaluation report and a data asset inventory report;

[0102] S4. Output data asset quality evaluation report and data asset inventory report.

[0103] When analyzing and generating a data asset quality evaluation report, a data asset quality evaluation is conducted based on the data asset information of each management target, based on the data asset quality evaluation system, and then the report is generated. Technical personnel pre-set the data asset quality evaluation system; data asset quality evaluation types include at least: accuracy, completeness, effectiveness, timeliness, and consistency. Secondly, when analyzing and generating a data asset inventory report, a comprehensive inventory of the data asset information of each management target, including its source, storage location, usage, and compliance with business requirements, is conducted before the report is generated.

[0104] The embodiments of the present invention perform quality analysis and inventory on data assets and generate corresponding reports, so that enterprises can manage and utilize their data assets more effectively.

[0105] In one embodiment, the data quality management step includes at least: data cleaning, verification, and standardization.

[0106] The steps of metadata management include at least: data definition and description, data source management, and usage scenario management.

[0107] The steps of data security and privacy management include at least: data encryption, access control, sensitive data protection and data compliance management.

[0108] The steps of standardization management include at least: unifying the definition bases of data naming, data definition, data type and assignment rules.

[0109] The steps of data lifecycle management include at least: retaining, archiving and disposing of data throughout the entire data lifecycle from creation to archiving or disposal.

[0110] The above data quality management steps can determine the accuracy and consistency of the data; the metadata management step provides the definition, source, usage scenarios and management strategies of the data; the data security and privacy management step can ensure the security and privacy of the data; the standardization management step can unify the definition benchmark of the data; and the data lifecycle management can manage the entire process of the data lifecycle.

[0111] In one embodiment, a data asset governance method based on a big data platform, such as Figure 3 As shown, it also includes:

[0112] S5. Build a visualization model based on the data asset information after multimodal governance;

[0113] In S5, when building a visualization model, it can be built based on the data visualization template pre-set by the technicians; the visualization model can display the different data asset conditions reflected by the data asset information after multimodal governance;

[0114] S6. Conduct data asset monitoring and early warning based on visualization models;

[0115] Wherein, said S6, performing data asset monitoring and early warning based on the visualization model, includes:

[0116] S61. Virtually participating in a warning meeting using a visualization model for multiple managers; during the warning meeting, the visualization model displays warning events to each manager who virtually participates in the meeting; S62. Within a preset time after the triggering moment, detecting whether the distribution of the attendance locations of each manager who virtually participates in the warning meeting changes;

[0117] S63. When a change occurs, based on the change information of the participant location distribution, optimize the visualization model to display the future display timeline of the warning event;

[0118] A warning meeting is held for the visualization model. The warning meeting is a virtual meeting. In the warning meeting, a virtual round table is set up. There are seats around the virtual round table for managers to attend the meeting virtually. If a manager chooses to attend the meeting at a certain seat, the seat is his or her meeting position. A first virtual large screen is also set up in the warning meeting, which is located next to the virtual round table for the visualization model to display. The trigger moment is the moment when the manager who is virtually attending the meeting may express his or her personalized meeting ideas by changing his or her meeting position. The preset time can be set to 2 minutes. Whenever the time reaches the meeting moment, within the preset time thereafter, it is detected whether the distribution of the meeting positions of each manager's virtual attendance warning meeting has changed. When a change occurs, the change information of the meeting position distribution will reflect the manager's personalized meeting ideas. Based on this, the future display timeline of the warning event is optimized to enable the visualization model to adapt to the personalized meeting ideas and continue to display the warning event. The warning event is an abnormal data asset event detected in the visualization model. When the visualization model displays the warning event, it plans the display order and time of different information to form a future display timeline.

[0119] The steps for obtaining the trigger moment are as follows:

[0120] When the administrator of the virtual conference continuously generates the first Nj standard conference actions in the same standard conference action set, the moment when he generates any of the last j standard conference actions in the standard conference action set is used as the trigger moment; N is the total number of standard conference actions in the standard conference action set;

[0121] and / or,

[0122] The moment when at least two managers participating in the virtual meeting continuously maintain a standard mutual relationship for a duration threshold is used as the trigger moment;

[0123] In the first method of obtaining the trigger moment, a standard meeting action set is set, which includes multiple standard meeting actions that will be generated successively if the administrator wants to express his or her personalized meeting ideas. For example, talking with other managers, switching to viewing the first virtual large screen for more than 5 minutes, etc., means that the content recently displayed on the first virtual large screen has attracted his or her attention, and he or she has a personalized meeting idea that hopes that the content of the first virtual large screen can be optimized based on his or her focus; however, in order to detect in advance, when the manager continuously generates the first Nj standard meeting actions in the same standard meeting action set, if he or she newly generates any of the last j standard meeting actions in the standard meeting action set, this moment will be used as the trigger moment; i can be a positive integer not exceeding 3.

[0124] In the second method of obtaining the trigger moment, a standard mutual relationship is set, which includes that if the administrator wants to express his or her personalized meeting ideas, the relationship with other managers will be continuously maintained for more than a time threshold. For example: when two managers talk, it means that they hope that the content of the first virtual large screen can be optimized based on the results of their conversation, which is their personalized meeting ideas. Therefore, when at least two virtual meeting managers continuously maintain the standard mutual relationship for a maintenance time threshold, this moment is used as the trigger moment; the maintenance time threshold can be set to 5 minutes.

[0125] Among them, based on the changing information of the distribution of the meeting location, the visualization model is optimized to display the future display timeline of the warning event, including:

[0126] When the change information of the participant location distribution indicates that the participant locations of at least two virtual participants are newly adjacent to each other, determining a plurality of joint purposes based on the personnel portraits corresponding to the at least two virtual participants;

[0127] Calculate the joint time of each joint purpose; wherein the joint time is the corresponding value in the time library of the content type related to the joint purpose during the early warning event display of the visualization model between the trigger moment and the last trigger moment;

[0128] Optimize the content within the target time before the future display timeline to adapt to the target joint purpose; where the target time is the average of the joint times exceeding the time threshold, and the target joint purpose is the joint purpose of the joint time exceeding the time threshold;

[0129] and / or,

[0130] When the change information of the distribution of the meeting positions indicates that the meeting positions of the managers of the multiple virtual meeting participants are newly closer to the first virtual large screen for the visualization model to display the warning event, the corresponding virtual meeting managers are traversed in reverse order according to the order in which the information of the managers of the virtual meeting participants is newly closer to the first virtual large screen;

[0131] Each time the virtual conference manager is traversed, the overlapping virtual visions of the manager to be traversed and the nearest virtual conference manager are obtained in the visible area on the first virtual large screen;

[0132] When the content type of the area content in the visible area matches the standard content type and / or the area content in the visible area is related to the manager of the virtual conference to be traversed, stop traversing the next corresponding manager of the virtual conference, and determine a setting position next to the virtual round table based on the meeting position distribution of the traversed virtual conference managers and the managers of the virtual conference to be traversed, and set a second virtual large screen at the setting position. At the same time, based on the area content in the visible area, generate extended content, and control the second virtual large screen to display the extended content;

[0133] The setting position is determined beside the virtual round table based on the distribution of the virtual meeting managers that have been traversed and the virtual meeting managers that are to be traversed, including:

[0134] Generate the minimum circular range that surrounds the distribution of participant locations;

[0135] Determine a target diameter parallel to the display plane of the first virtual large screen from the circular range;

[0136] The target diameter is rotated counterclockwise or clockwise to determine a first target semicircle and a second target semicircle from two semicircles formed by the target diameter during the rotation of the circular range; wherein a first number of virtual meeting managers in the first target semicircle is greater than a second number of virtual meeting managers in the second target semicircle;

[0137] When the first target semicircle and the second target semicircle meet the first condition or meet the second condition without meeting the first condition, stop rotating the target diameter and use an idle display plane position that is parallel to the rotated target diameter and adjacent to the display plane of the first virtual large screen as the setting position;

[0138] Condition 1 includes: the first target semicircle and the second target semicircle have not alternated in history, and the first number increases by 1, and the second number decreases by 1 or remains unchanged;

[0139] Condition 2 includes: the first target semicircle and the second target semicircle alternate for the first time.

[0140] In the first method of optimizing the future display timeline based on the change information of the distribution of the meeting positions, when the meeting positions of at least two virtual meeting managers are newly adjacent, it means that the at least two virtual meeting managers want to have a private conversation. At this time, an independent communication channel can be established for them, and other managers will not hear the content of their conversation. They can also continue to view the first virtual large screen; at this time, it is necessary to identify their joint purpose in order to optimize the future display timeline. The joint purpose refers to the decision-making purpose of their private conversation, etc.; when identifying the joint purpose, it is determined based on the personnel portraits of their managers. For example: the personnel portraits of the two managers reflect that they have the same management responsibility of eliminating invalid data assets, then the joint purpose is to discuss how to find invalid data assets and how to eliminate them accordingly. However, the personnel portraits may reflect many joint purposes, and their private conversation this time is actually... In fact, it is not necessarily for the purpose of completing every joint purpose. Therefore, it is necessary to screen out the joint purposes that actually need to be completed. When screening, calculate the joint time of each joint purpose. The larger the joint time, the greater the possibility that they actually completed the corresponding joint purpose during the private conversation. Then, optimize the content within the previous target time on the future display timeline to adapt to the target joint purpose. For example, give priority to displaying related invalid asset situations, etc., that is, set the target joint purpose to be a joint purpose whose joint time exceeds the time threshold. Specifically, set a time library, which contains joint times corresponding to content types displayed by different warning events. The content type displayed by the warning event must be the content on which their private conversation was based. The standard decision-making discussion time required for the content type displayed by the warning event can be used as the basis for determining the time for future optimization. Then set the target time to the average value of the joint time that exceeds the time threshold.

[0141] In a second method for optimizing the future display timeline based on information about changes in the distribution of attendee locations, when a attendee's location is newly closer to the first virtual screen, this indicates that some managers are jointly focusing on a portion of the content displayed on the first virtual screen. Managers who move closer to the first virtual screen later are more likely to subjectively desire to share their attention with managers who moved closer to the first virtual screen earlier. Therefore, the corresponding virtual attendees are traversed in reverse order according to the order in which their virtual attendee information newly moved closer to the first virtual screen. When managers move closer to and subsequently view the first virtual screen, they interact closely with the managers closest to them. Therefore, the visual area on the first virtual screen of the overlapping virtual fields of view of the traversed virtual attendee and the nearest virtual attendee to be traversed is obtained. The virtual attendees will have virtual fields of view during the early warning meeting. The overlapping portion of the virtual fields of view of the two managers is the overlapping virtual field of view, which corresponds to a display partition visible within their field of view on the first virtual screen.

[0142] Standard content types can be used as representatives to immediately determine that the managers who are newly closer to the first virtual large screen are of the type of content in the area of the common visual area. For example, if the visualization model display requires multiple people to perform data asset maintenance tasks, and the task requires multiple people to participate, it can be determined immediately. In addition, when the area content in the visual area is related to the managers of the virtual participants to be traversed, it can also be determined that the managers who are newly closer to the first virtual large screen are of the common visual area. When it is determined, the traversal of the next corresponding virtual participant can be stopped, which improves the traversal efficiency, reduces the traversal resources, and improves the response timeliness of the adaptation setting of the second virtual large screen. The second virtual large screen is set based on the distribution of the meeting locations. The extended content can be content related to the expansion of the area content. The second virtual large screen is controlled to display the extended content. These managers can collaboratively view the second virtual large screen, and the new adaptation of the display resources is completed through this entire process.

[0143] Next to the virtual round table, multiple adjacent display plane positions for setting up the virtual large screen are set. When the first target semicircle and the second target semicircle conditions one are met, it means that the viewing angle represented by the current rotated target diameter is distinguishable from the first virtual large screen and suitable for most managers. When the condition two is met without meeting the condition one, it is ensured that the viewing angle represented by the current rotated target diameter is sufficiently distinguishable to avoid affecting the viewing angle of more managers of the display content.

[0144] The alternation of the first target semicircle and the second target semicircle means that one semicircle changes from the first target semicircle to the second target semicircle, and the other semicircle changes from the second target semicircle to the first target semicircle.

[0145] The embodiments of the present invention solve the following problems in the prior art:

[0146] Traditional meetings often have limitations in collaboration and interaction, especially in virtual meetings. Managers may not have enough real-time feedback and interaction opportunities, which affects the collaborative efficiency of decision-making.

[0147] In addition, different managers may have different focuses and decision-making needs in the same meeting. Traditional methods make it difficult to flexibly respond to personalized needs, resulting in inefficient management.

[0148] The embodiments of the present invention achieve the following technical effects:

[0149] Through multimodal data governance, various data asset situations are integrated into the visualization model, which can not only display the status of data assets in real time, but also dynamically optimize according to the behavior and needs of managers. When data anomaly warnings are issued, the model can adaptively adjust the warning display content based on changes in the participants' location, behavior and other information, thereby improving the timeliness and accuracy of decision-making.

[0150] Through the trigger moment mechanism, the system can timely detect the personalized ideas of managers for attending meetings, enhance the interactivity and flexibility of the meeting, and enable the visualization model to subsequently optimize the display content based on the actual needs of managers.

[0151] The introduction of virtual roundtables and large screens enhances meeting collaboration by creating dedicated private channels for managers and adjusting presentation content. Especially when managers engage in private discussions, the system automatically adjusts the presentation timeline by identifying and optimizing joint objectives, ensuring that future presentations are more aligned with managers' decision-making goals, thereby enhancing meeting efficiency and decision-making quality.

[0152] By analyzing the changes in the virtual participants' positions as they approach the first virtual screen, the second virtual screen is accurately set up, and the configuration of the virtual screen's display resources is intelligently optimized, thereby improving the adaptability, efficiency, and collaborative effect of the virtual screen display. Ultimately, the utilization rate of virtual conference display resources is improved, the information transmission effect is enhanced, and the collaborative efficiency of managers is optimized.

[0153] The embodiment of the present invention provides a data asset management system based on a big data platform, such as Figure 4 Shown include:

[0154] Big data platform module 1, used to collect data asset information of multiple management targets through the big data platform;

[0155] Data asset governance module 2 is used to perform multimodal governance on the data asset information of each management target.

[0156] Optional data asset governance system based on the big data platform also includes:

[0157] Report analysis module for:

[0158] Analyze the data asset information of each management target and generate data asset quality evaluation reports and data asset inventory reports;

[0159] Output data asset quality evaluation report and data asset inventory report.

[0160] Optionally, the data asset governance module 2 performs multimodal governance on the data asset information of each management target, including:

[0161] Conduct data quality management on data asset information of each management target;

[0162] and / or,

[0163] Perform metadata management on the data asset information of each management target;

[0164] and / or,

[0165] Conduct data security and privacy management for the data asset information of each management target;

[0166] and / or,

[0167] Standardize the management of data asset information for each management target;

[0168] and / or,

[0169] Perform data lifecycle management on the data asset information of each management target.

[0170] Optionally, the data quality management steps include at least: data cleaning, verification and standardization.

[0171] Optionally, the metadata management step includes at least: data definition and description, data source management, and usage scenario management.

[0172] Optionally, the steps of data security and privacy management include at least: data encryption, access control, sensitive data protection, and data compliance management.

[0173] Optionally, the standardization management step includes at least: unifying the definition criteria of data naming, data definition, data type and assignment rules.

[0174] Optionally, the data lifecycle management step includes at least: retaining, archiving and disposing of data throughout the entire data lifecycle from creation to archiving or disposal.

[0175] Optional data asset governance system based on the big data platform also includes:

[0176] Visual monitoring and early warning module, used for:

[0177] Build a visualization model based on multimodal managed data asset information;

[0178] Conduct data asset monitoring and early warning based on visualization models;

[0179] The data asset monitoring and early warning based on the visualization model includes:

[0180] Conduct virtual attendance of early warning meetings for multiple managers using a visualization model; during the early warning meeting, the visualization model displays early warning events to each manager who is virtually participating; and within a preset time after the trigger moment, detect whether the distribution of the attendance locations of each manager who is virtually participating in the early warning meeting has changed;

[0181] When changes occur, the visualization model is optimized to display the future timeline of warning events based on the change information of the participant location distribution;

[0182] The steps for obtaining the trigger moment are as follows:

[0183] When the administrator of the virtual conference continuously generates the first Nj standard conference actions in the same standard conference action set, the moment when he generates any of the last j standard conference actions in the standard conference action set is used as the trigger moment; N is the total number of standard conference actions in the standard conference action set;

[0184] and / or,

[0185] The moment when at least two managers participating in the virtual meeting continuously maintain a standard mutual relationship for a duration threshold is used as the trigger moment;

[0186] Among them, based on the changing information of the distribution of the meeting location, the visualization model is optimized to display the future display timeline of the warning event, including:

[0187] When the change information of the participant location distribution indicates that the participant locations of at least two virtual participants are newly adjacent to each other, determining a plurality of joint purposes based on the personnel portraits corresponding to the at least two virtual participants;

[0188] Calculate the joint time of each joint purpose; wherein the joint time is the corresponding value in the time library of the content type related to the joint purpose during the early warning event display of the visualization model between the trigger moment and the last trigger moment;

[0189] The content within the target time before the future display timeline is optimized to adapt to the target joint purpose; wherein the target time is the average value of the joint time exceeding the time threshold, and the target joint purpose is the joint purpose when the joint time exceeds the time threshold.

[0190] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A data asset governance method based on a big data platform, characterized in that: include: Collect data asset information for multiple management objectives through the big data platform; Carry out multimodal governance of data asset information for each management objective.

2. The data asset management method based on the big data platform according to claim 1, characterized in that: Also includes: Analyze the data asset information of each management target and generate data asset quality evaluation reports and data asset inventory reports; Output data asset quality evaluation report and data asset inventory report.

3. The data asset management method based on a big data platform according to claim 1, characterized in that: The multimodal governance of data asset information for each management target includes: Conduct data quality management on data asset information of each management target; and / or, Perform metadata management on the data asset information of each management target; and / or, Conduct data security and privacy management for the data asset information of each management target; and / or, Standardize the management of data asset information for each management target; and / or, Perform data lifecycle management on the data asset information of each management target.

4. The data asset management method based on a big data platform according to claim 3, characterized in that: The steps of data quality management include at least: data cleaning, verification and standardization.

5. The data asset management method based on a big data platform according to claim 3, characterized in that: The steps of metadata management include at least: data definition and description, data source management, and usage scenario management.

6. The data asset management method based on a big data platform according to claim 3, characterized in that: The steps of data security and privacy management include at least: data encryption, access control, sensitive data protection and data compliance management.

7. The data asset management method based on a big data platform according to claim 3, characterized in that: The steps of standardization management include at least: unifying the definition bases of data naming, data definition, data type and assignment rules.

8. The data asset management method based on a big data platform according to claim 3, characterized in that: The steps of data lifecycle management include at least: retaining, archiving and disposing of data throughout the entire data lifecycle from creation to archiving or disposal.

9. The data asset management method based on a big data platform according to claim 3, characterized in that: Also includes: Build a visualization model based on multimodal managed data asset information; Conduct data asset monitoring and early warning based on visualization models.

10. A data asset management system based on a big data platform, characterized in that: include: Big data platform module, used to collect data asset information of multiple management targets through the big data platform; The data asset governance module is used to perform multimodal governance of data asset information for various management objectives.

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