Measurement and calculation method and device for digital transformation of target object

Abstract

The invention provides a measuring and calculating method and device for digital transformation of a target object, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring related data of digital transformation of a target object; obtaining first index data according to the enterprise strategy file and the target object; quantifying the development cost data to obtain second index data; obtaining third index data according to the project data; obtaining fourth index data according to the technical data and the number of the to-be-upgraded and reconstructed applications; and obtaining a calculation result of the target object according to the first index data, the second index data, the third index data, the fourth index data and a digital transformation calculation model. The device is used for executing the method. According to the method and the device for measuring and calculating the digital transformation of the target object, the reliability of measuring and calculating the target object is improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and particularly to a method and device for calculating the digital transformation of a target object. Background Art

[0002] At present, with the introduction of national planning policies and the development of Internet technology, the digital transformation of enterprises in the financial industry has become an important construction direction for enterprise development.

[0003] In the process of promoting digital transformation, enterprises may be involved in various aspects of work such as business process optimization, data-driven decision-making, product and service innovation, customer experience optimization, supply chain management optimization, security and risk management, etc. And when implementing digital transformation specifically, there will be many specific tasks. How to calculate the object of digital transformation is an urgent research topic in the industry. Summary of the Invention

[0004] In view of the problems in the prior art, embodiments of the present invention provide a method and device for calculating the digital transformation of a target object, which can at least partially solve the problems existing in the prior art.

[0005] In a first aspect, the present invention proposes a method for calculating the digital transformation of a target object, including:

[0006] Obtain relevant data on the digital transformation of the target object; wherein, the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data;

[0007] Obtain first index data according to the enterprise strategic document and the target object;

[0008] Quantify the development cost data to obtain second index data;

[0009] Obtain third index data according to the project data;

[0010] Obtain fourth index data according to the technical data and the number of applications to be upgraded and transformed;

[0011] Obtain the calculation result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and a digital transformation calculation model; wherein, the digital transformation calculation model is obtained by training based on digital transformation sample data.

[0012] In a second aspect, the present invention provides a device for calculating the digital transformation of a target object, including:

[0013] An acquisition module, configured to acquire relevant data on the digital transformation of the target object; wherein, the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data;

[0014] A first acquisition module, configured to obtain first indicator data according to the enterprise strategic document and the target object;

[0015] A second acquisition module, configured to quantify the development cost data to obtain second indicator data;

[0016] A third acquisition module, configured to obtain third indicator data according to the project data;

[0017] A fourth acquisition module, configured to obtain fourth indicator data according to the technical data and the number of applications to be upgraded and transformed;

[0018] An analysis module, configured to obtain a measurement result of the target object according to the first indicator data, the second indicator data, the third indicator data, the fourth indicator data, and a digital transformation measurement model; wherein, the digital transformation measurement model is obtained by training based on digital transformation sample data.

[0019] In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored on the memory, and the processor executes the program to implement the measurement method for the digital transformation of the target object according to any one of the above embodiments.

[0020] In a fourth aspect, the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program / instructions, and when the computer program / instructions are executed by a processor, the measurement method for the digital transformation of the target object according to any one of the above embodiments is implemented.

[0021] In a fifth aspect, the present invention provides a computer program product, including a computer program / instructions, and when the computer program / instructions are executed by a processor, the measurement method for the digital transformation of the target object according to any one of the above embodiments is implemented.

[0022] The measurement method and device for the digital transformation of the target object provided by the embodiments of the present invention can obtain the relevant data of the digital transformation of the target object; wherein, the relevant data of the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; obtain the first index data according to the enterprise strategic documents and the target object; quantify the development cost data to obtain the second index data; obtain the third index data according to the project data; obtain the fourth index data according to the technical data and the number of applications to be upgraded and transformed; obtain the measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and the digital transformation measurement model, realizing the evaluation of the target object in the enterprise digital transformation and improving the reliability of the measurement of the target object. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. In the drawings:

[0024] Figure 1 FIG. is a schematic flowchart of the measurement method for the digital transformation of the target object provided by the first embodiment of the present invention.

[0025] Figure 2 FIG. is a schematic flowchart of the measurement method for the digital transformation of the target object provided by the second embodiment of the present invention.

[0026] Figure 3 FIG. is a schematic flowchart of the measurement method for the digital transformation of the target object provided by the third embodiment of the present invention.

[0027] Figure 4 FIG. is a schematic flowchart of the measurement method for the digital transformation of the target object provided by the fourth embodiment of the present invention.

[0028] Figure 5 FIG. is a schematic flowchart of the measurement method for the digital transformation of the target object provided by the fifth embodiment of the present invention.

[0029] Figure 6 FIG. is a schematic structural diagram of the measurement device for the digital transformation of the target object provided by the sixth embodiment of the present invention.

[0030] Figure 7 FIG. is a schematic structural diagram of the measurement device for the digital transformation of the target object provided by the seventh embodiment of the present invention.

[0031] Figure 8 It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the eighth embodiment of the present invention.

[0032] Figure 9 It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the ninth embodiment of the present invention.

[0033] Figure 10 It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the tenth embodiment of the present invention.

[0034] Figure 11 It is a schematic physical structure diagram of an electronic device provided by the eleventh embodiment of the present invention. Detailed implementation manners

[0035] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer and more understandable, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings. Here, the illustrative embodiments of the present invention and their descriptions are used to explain the present invention, but not to limit the present invention. It should be noted that, without conflict, the embodiments in this application and the features in the embodiments can be combined with each other arbitrarily.

[0036] The information collected in the technical solutions in this application is information and data authorized by the user or fully authorized by all parties. Moreover, the processing of relevant data, such as collection, storage, use, processing, transmission, provision, disclosure, and application, complies with the relevant laws, regulations, and standards of relevant countries and regions, takes necessary confidentiality measures, does not violate public order and good customs, and provides a corresponding operation entry for the user to choose to authorize or refuse.

[0037] Provide a corresponding operation entry for the user to choose to agree or refuse the automated decision result; if the user chooses to refuse, the expert decision-making process will be entered.

[0038] To facilitate the understanding of the technical solutions provided in this application, the relevant content of the technical solutions in this application will be described first below.

[0039] During the implementation of digital transformation by an enterprise, the strategic relevance, technical implementation difficulty, development cost, and urgency of the objects of digital transformation are different. How to scientifically measure the objects of digital transformation is an urgent problem to be solved. Based on the measurement results of the objects of digital transformation, the implementation order of each object of digital transformation can be sorted, which can make the implementation of the enterprise's digital transformation work more organized and improve work efficiency.

[0040] Below, taking the server as the execution subject as an example, the specific implementation process of the measurement method for the digital transformation of a target object provided by the embodiments of the present invention will be described.

[0041] Figure 1 is a schematic flowchart of a method for measuring the digital transformation of a target object provided by the first embodiment of the present invention. As Figure 1 shown, the method for measuring the digital transformation of a target object provided by the embodiments of the present invention includes:

[0042] S101. Obtain relevant data on the digital transformation of the target object; wherein, the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data;

[0043] Specifically, relevant data on the digital transformation of the target object can be collected. The relevant data on the digital transformation can include enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data. The server can obtain the relevant data on the digital transformation of the target object. The target object includes, but is not limited to, refined individual customer portraits, building a complete customer feature system, improving the service level of customer groups, optimizing customer service processes, etc., and can be selected according to actual needs. The embodiments of the present invention do not make limitations.

[0044] Among them, the enterprise strategic document is a document issued by the enterprise regarding the enterprise strategy. The development cost data refers to the data on the development cost of software versions for the digital implementation of the target object. The technical data refers to the technologies adopted in the digital implementation of the target object, including but not limited to high-tech technologies, etc. The number of applications to be upgraded and transformed refers to the number of applications that need to be developed for the digital implementation of the target object. The project data refers to the project type, project completion time, etc. of the relevant projects for the digital implementation of the target object. The development cost data, the technical data, and the number of applications to be upgraded and transformed are estimates and can be estimated by relevant professionals.

[0045] For example, the target object is: refined individual customer portraits; the refined description corresponding to the refined individual customer portraits is: forming individual customer portraits through big data analysis.

[0046] S102. Obtain first index data according to the enterprise strategic document and the target object;

[0047] Specifically, the server can obtain first index data according to the enterprise strategic document and the target object. The first index data is used to measure the degree of association between the target object and the enterprise strategy. The larger the first index data, the higher the degree of association between the target object and the enterprise strategy.

[0048] S103. Quantify the development cost data to obtain second index data;

[0049] Specifically, the server quantifies the development cost data to obtain second indicator data. The second indicator data is used to measure the software development cost of the target object.

[0050] S104. Obtain third indicator data according to the project data;

[0051] Specifically, the server can obtain third indicator data according to the project data. The third indicator data is used to measure the urgency of the related project of the target object.

[0052] S105. Obtain fourth indicator data according to the technical data and the number of applications to be upgraded and transformed;

[0053] Specifically, the server can obtain fourth indicator data according to the technical data and the number of applications to be upgraded and transformed. The fourth indicator data is used to measure the technical implementation difficulty of the target object.

[0054] S106. Obtain the measurement result of the target object according to the first indicator data, the second indicator data, the third indicator data, the fourth indicator data and the digital transformation measurement model; wherein, the digital transformation measurement model is obtained by training based on digital transformation sample data.

[0055] Specifically, the server inputs the first indicator data, the second indicator data, the third indicator data, and the fourth indicator data into the digital transformation measurement model, and can output the measurement result of the target object. The measurement result is the ability priority of the target object, and the ability priority can be a specific value. By comparing the ability priorities of different target objects, the implementation order of different target objects can be sorted in the digital transformation of the enterprise. Among them, the digital transformation measurement model is obtained by training based on digital transformation sample data, and the digital transformation sample data is obtained based on the data of the target objects that have been implemented in the digital transformation of the enterprise.

[0056] The measurement method for the digital transformation of the target object provided by the embodiment of the present invention can obtain the relevant data of the digital transformation of the target object; wherein, the relevant data of the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; obtain the first index data according to the enterprise strategic document and the target object; quantify the development cost data to obtain the second index data; obtain the third index data according to the project data; obtain the fourth index data according to the technical data and the number of applications to be upgraded and transformed; obtain the measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and the digital transformation measurement model, realizing the evaluation of the target object in the enterprise digital transformation and improving the reliability of the measurement of the target object.

[0057] Figure 2 It is a schematic flowchart of the measurement method for the digital transformation of the target object provided by the second embodiment of the present invention. As Figure 2 shown, on the basis of the above embodiments, further, the obtaining the first index data according to the enterprise strategic document and the digital transformation description of the target object includes:

[0058] S201. Segment the target object to obtain the keywords corresponding to the target object;

[0059] Specifically, the server can segment the target object to obtain the keywords corresponding to the target object. Among them, the target object is described in digital capability text. A word segmentation tool can be used to segment the target object, such as the jieba word segmentation tool.

[0060] For example, the target object is: fine personal customer portrait; segmenting the fine personal customer portrait can obtain four words, namely fine, personal, customer, and portrait, as the keywords corresponding to the target object.

[0061] It can be understood that in order to improve the accuracy of the keywords corresponding to the target object, after segmenting the target object, meaningless words can be removed from the segmentation result. Meaningless words such as conjunctions like "and" and "with", and adjectives like "de" and "di" can be set according to actual needs, and the embodiments of the present invention do not make limitations. A word segmentation screening library can be set to store meaningless words, and each word in the segmentation result is compared with the word segmentation screening library, and the words not in the word segmentation screening library are retained as the keywords corresponding to the target object.

[0062] S202. According to the keywords corresponding to the target object and the enterprise strategic document, obtain the total number of times the keywords corresponding to the target object appear in the enterprise strategic document;

[0063] Specifically, the server queries the enterprise strategic document according to each word in the keywords corresponding to the target object, records the number of times each word appears in the enterprise strategic document, sums up the number of times each word in the keywords corresponding to the target object appears, and obtains the total number of times the keywords corresponding to the target object appear in the enterprise strategic document.

[0064] S203. Obtain first index data according to the total number of times the keywords corresponding to the target object appear in the enterprise strategic document and the total number of the keywords corresponding to the target object.

[0065] Specifically, the server can obtain first index data according to the total number of times the keywords corresponding to the target object appear in the enterprise strategic document and the total number of the keywords corresponding to the target object. The larger the first index data is, the higher the correlation degree between the target object and the enterprise strategy is. The first index data is used to measure the correlation degree between the target object and the enterprise strategy.

[0066] For example, calculate the result of dividing the total number of times the keywords corresponding to the target object appear in the enterprise strategic document by the total number of the keywords corresponding to the target object as the first index data.

[0067] On the basis of the above embodiments, further, the development cost data includes the number of versions and the average version cost; correspondingly, the quantification of the development cost data to obtain second index data includes:

[0068] Calculate the product of the number of versions and the average version cost as the second index data.

[0069] Specifically, the development cost data includes the number of versions and the average version cost. The number of versions refers to the version numbers of different batches developed in the R & D process of the digital transformation of the target object. In the software development process, multiple version numbers are usually assigned to different development branches and corresponding identifiers are made on the version numbers. Each version can be regarded as an independent development cycle, which can focus on fixing some specific problems without affecting the progress of the whole project. The version number usually contains the following information: Development cycle: referring to different stages in the software development process, such as development stage, test stage, release stage, etc. Version type: referring to the type of software, such as Java, Python, C#, etc. Version number: referring to the specific version number of the software.

[0070] The average version cost is estimated. The server calculates the product of the number of versions and the average version cost as the second index data. The second index data is used to measure the software development cost of the target object.

[0071] For example, assume that the number of versions included in the development cost data of the target object is 2 and the average version cost is 10, then the second indicator data is 20.

[0072] Figure 3 It is a schematic flowchart of a measurement method for the digital transformation of a target object provided by the third embodiment of the present invention. As Figure 3 shown, on the basis of the above embodiments, further, the project data includes the project completion time and the project type; correspondingly, obtaining the third indicator data according to the project data includes:

[0073] S301. Obtain the time requirement coefficient corresponding to the project completion time according to the project completion time and the corresponding relationship between the project completion time and the time requirement coefficient;

[0074] Specifically, the project data includes the project completion time and the project type. The project completion time refers to how long it takes to complete the project, such as 3 months, 6 months, 12 months, three years, etc. The time requirement coefficients corresponding to different project completion times are different, and the corresponding relationship between the project completion time and the time requirement coefficient is set in advance. The project type is determined in advance, and the project type coefficients corresponding to different project types are different, and the corresponding relationship between the project type and the project type coefficient is set in advance.

[0075] The server can query and obtain the time requirement coefficient corresponding to the project completion time according to the project completion time and the corresponding relationship between the project completion time and the time requirement coefficient.

[0076] S302. Obtain the project type coefficient corresponding to the project type according to the project type and the corresponding relationship between the project type and the project type coefficient;

[0077] Specifically, the server can query and obtain the project type coefficient corresponding to the project type according to the project type and the corresponding relationship between the project type and the project type coefficient.

[0078] S303. Obtain the third indicator data according to the time requirement coefficient corresponding to the project completion time and the project coefficient corresponding to the project type.

[0079] Specifically, the server can obtain the third indicator data according to the time requirement coefficient corresponding to the project completion time and the project coefficient corresponding to the project type. The third indicator data is used to measure the urgency of the relevant project of the target object.

[0080] For example, according to the formula C = (1 / t) p, the third index data C is calculated, where t represents the time requirement coefficient and p represents the project type coefficient.

[0081] Based on the above embodiments, further, the technical data includes the target technology types adopted by the target object; correspondingly, obtaining the fourth index data according to the technical data and the number of applications to be upgraded and transformed includes:

[0082] Calculating the result of the product of the target technology types and the number of applications to be upgraded and transformed and their respective corresponding weights as the fourth index data.

[0083] Specifically, the technical data includes the target technology types adopted by the target object. The target technology is set according to actual needs, and the embodiments of the present invention do not make limitations. For example, a target technology library is set, and the number of target technologies that overlap with the various target technologies in the target technology library among the various technologies adopted by the target object in the digital transformation implementation is counted as the target technology types.

[0084] The server calculates the result of the product of the target technology types and the number of applications to be upgraded and transformed and their respective corresponding weights as the fourth index data. The fourth index data is used to measure the technical implementation difficulty of the target object.

[0085] For example, according to the formula D = αx + βy, the fourth index data D is calculated, where x represents the target technology types, y represents the number of applications to be upgraded and transformed, α represents the weight corresponding to the fourth index data, and β represents the weight corresponding to the number of applications to be upgraded and transformed. The values of α and β are set according to actual experience, and the embodiments of the present invention do not make limitations. For example, α takes 2 and β takes 1.

[0086] Figure 4 is a schematic flowchart of the measurement method for the digital transformation of the target object provided in the fourth embodiment of the present invention, as Figure 4 shown. Based on the above embodiments, further, training the digital transformation measurement model based on the digital transformation sample data includes:

[0087] S401. Obtain digital transformation sample data, where the digital transformation sample data includes each training sample and its corresponding priority label; among them, each training sample includes first sample index data, second sample index data, third sample index data, and fourth sample index data;

[0088] Specifically, relevant data on the digital transformation of objects that have undergone digital transformation is collected, and the relevant data on the digital transformation of objects that have undergone digital transformation is processed to obtain digital transformation sample data. The server can obtain the digital transformation sample data. Among them, the digital transformation sample data includes each training sample and its corresponding priority label. Each training sample is derived from the relevant data on the digital transformation of an object that has undergone digital transformation. The priority label is determined based on the object that has undergone digital transformation, and relevant experts can evaluate the object that has undergone digital transformation to obtain the priority label.

[0089] For example, the relevant data on the digital transformation of an object that has undergone digital transformation may include enterprise strategic historical documents, actual historical development cost data, historical technical data, the number of developed applications, and project historical data. Enterprise strategic historical documents are the enterprise strategic documents involved in the object that has undergone digital transformation. Actual historical development cost data refers to the actual R & D cost data of the object that has undergone digital transformation. Historical technical data refers to the technologies adopted by the object that has undergone digital transformation in digital implementation. The number of developed applications refers to the number of applications actually developed by the object that has undergone digital transformation in digital implementation. Project historical data refers to data such as the project type and project completion time of relevant projects during the digital implementation of the object that has undergone digital transformation.

[0090] According to the enterprise strategic historical documents and the object that has undergone digital transformation, first sample index data can be obtained. The specific process of obtaining the first sample index data is similar to the process of obtaining the first index data, which will not be elaborated here.

[0091] The actual historical development cost data may include the actual number of versions and the actual unit cost of each version; calculate the product of the actual number of versions and the actual unit cost of each version as the second sample index data.

[0092] According to the project historical data, third sample index data can be obtained; the project historical data may include the actual project completion time and the project type; according to the actual project completion time and the corresponding relationship between the project completion time and the time requirement coefficient, the time requirement coefficient corresponding to the actual project completion time can be obtained; according to the project type and the corresponding relationship between the project type and the project coefficient, the project coefficient corresponding to the project type can be obtained; according to the time requirement coefficient corresponding to the actual project completion time and the project coefficient corresponding to the project type, third sample index data can be obtained.

[0093] According to historical technical data and the number of developed applications, the fourth indicator data can be obtained; the historical technical data includes the actual target technology types adopted by objects that have undergone digital transformation; correspondingly, obtaining the fourth indicator data according to the technical data and the number of applications to be upgraded and transformed includes: calculating the result of the product of the actual target technology types and the number of developed applications and their respective corresponding weights as the fourth sample indicator data. The weight corresponding to the actual target technology type can adopt the weight corresponding to the target technology type. The weight corresponding to the number of developed applications can adopt the weight corresponding to the number of applications to be upgraded and transformed.

[0094] S402. Train the original model according to each training sample and its corresponding priority label to obtain the digital transformation measurement model.

[0095] Specifically, the server trains the original model based on each training sample and its corresponding priority label, and can train and obtain the digital transformation measurement model. Among them, the original model is selected according to actual experience, and the embodiments of the present invention do not make limitations. For example, the original model adopts the Extreme Gradient Boosting (XGBoost) model.

[0096] Figure 5 It is a schematic flowchart of the measurement method for the digital transformation of the target object provided in the fifth embodiment of the present invention. As Figure 5 shown, on the basis of the above embodiments, further, the measurement method for the digital transformation of the target object provided in the embodiments of the present invention further includes:

[0097] S501. Obtain the measurement results of each target object;

[0098] Specifically, for each target object, the server can obtain the measurement result of each target object by performing the processes of steps S101 to S106.

[0099] S502. Based on the measurement results of each target object, obtain the priority order of each target object in digital transformation.

[0100] Specifically, after the server obtains the measurement result of each target object, it sorts each target object in descending order according to the ability priority included in the measurement result, and based on the sorting result, the priority order of each target object in digital transformation can be obtained.

[0101] During the digital transformation process of an enterprise, the target objects can be sorted according to the measurement results of the digital transformation of each target object, and the specific implementation order and strategy can be determined based on the sorting results. This is conducive to predicting the cost input-output in advance, reasonably planning the resource allocation, and ensuring the implementation of the digital transformation plan.

[0102] The present invention utilizes big data and artificial intelligence technologies. By analyzing influencing factors such as the correlation degree between the target object and the company's strategy, the technical implementation difficulty, and the urgency, a suitable measurement model is constructed to measure the digital transformation ability of the target object, and the implementation sequence of each target object can be determined based on the measurement results. Thus, it effectively analyzes the priority order of the implementation of each target object in the enterprise's digital transformation work, improving the overall efficiency of the enterprise's digital transformation.

[0103] Figure 6 It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the sixth embodiment of the present invention. As Figure 6 shown, the measurement device for the digital transformation of a target object provided by the embodiment of the present invention includes an acquisition module 601, a first acquisition module 602, a second acquisition module 603, a third acquisition module 604, a fourth acquisition module 605, and an analysis module 606, where:

[0104] The acquisition module 601 is used to acquire the relevant data of the digital transformation of the target object; among them, the relevant data of the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; the first acquisition module 602 is used to obtain first index data according to the enterprise strategic documents and the target object; the second acquisition module 603 is used to quantify the development cost data to obtain second index data; the third acquisition module 604 is used to obtain third index data according to the project data; the fourth acquisition module 605 is used to obtain fourth index data according to the technical data and the number of applications to be upgraded and transformed; the analysis module 606 is used to obtain the measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and the digital transformation measurement model; among them, the digital transformation measurement model is trained based on digital transformation sample data.

[0105] Specifically, the relevant data of the digital transformation of the target object can be collected. The relevant data of the digital transformation can include enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data. The acquisition module 601 can acquire the relevant data of the digital transformation of the target object. The target object is selected according to actual needs, and the embodiments of the present invention do not make any limitations.

[0106] The first acquisition module 602 can acquire first index data according to the enterprise strategy document and the target object. The first index data is used to measure the degree of association between the target object and the enterprise strategy. The larger the first index data, the higher the degree of association between the target object and the enterprise strategy.

[0107] The second acquisition module 603 can quantify the development cost data to obtain second index data. The second index data is used to measure the software development cost of the target object.

[0108] The third acquisition module 604 can acquire third index data according to the project data. The third index data is used to measure the urgency of the related projects of the target object.

[0109] The fourth acquisition module 605 can acquire fourth index data according to the technical data and the number of applications to be upgraded and transformed. The fourth index data is used to measure the technical implementation difficulty of the target object.

[0110] The analysis module 606 inputs the first index data, the second index data, the third index data, and the fourth index data into the digital transformation measurement model, and can output the measurement result of the target object. The measurement result is the ability priority of the target object. The ability priority can be a specific value. By comparing the ability priorities of different target objects, the implementation order of different target objects can be sorted in the digital transformation of the enterprise. Among them, the digital transformation measurement model is obtained by training based on digital transformation sample data, and the digital transformation sample data is obtained based on the data of the target objects that have been implemented in the digital transformation of the enterprise.

[0111] The measurement device for the digital transformation of the target object provided by the embodiment of the present invention can obtain the relevant data of the digital transformation of the target object; wherein, the relevant data of the digital transformation includes the enterprise strategy document, the development cost data, the technical data, the number of applications to be upgraded and transformed, and the project data; acquire first index data according to the enterprise strategy document and the target object; quantify the development cost data to obtain second index data; acquire third index data according to the project data; acquire fourth index data according to the technical data and the number of applications to be upgraded and transformed; obtain the measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and the digital transformation measurement model, realizing the evaluation of the target object in the digital transformation of the enterprise and improving the reliability of the measurement of the target object.

[0112] Figure 7It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the seventh embodiment of the present invention. As Figure 7 shown, on the basis of the above embodiments, further, the first acquisition module 602 includes a word segmentation unit 6021, a first acquisition unit 6022, and a second acquisition unit 6023, where:

[0113] The word segmentation unit 6021 is used to segment the target object to obtain keywords corresponding to the target object; the first acquisition unit 6022 is used to obtain the total number of times the keywords corresponding to the target object appear in the enterprise strategic document according to the keywords corresponding to the target object and the enterprise strategic document; the second acquisition unit 6023 is used to obtain the first index data according to the total number of times the keywords corresponding to the target object appear in the enterprise strategic document and the total number of keywords corresponding to the target object.

[0114] On the basis of the above embodiments, further, the development cost data includes the number of versions and the average version cost; correspondingly, the second acquisition module 603 is specifically used for:

[0115] Calculating the product of the number of versions and the average version cost as the second index data.

[0116] Figure 8 It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the eighth embodiment of the present invention. As Figure 8 shown, on the basis of the above embodiments, further, the third acquisition module 604 includes a third acquisition unit 6041, a fourth acquisition unit 6042, and a fifth acquisition unit 6043, where:

[0117] The third acquisition unit 6041 is used to obtain the time requirement coefficient corresponding to the project completion time according to the project completion time and the corresponding relationship between the project completion time and the time requirement coefficient; the fourth acquisition unit 6042 is used to obtain the project coefficient corresponding to the project type according to the project type and the corresponding relationship between the project type and the project coefficient; the fifth acquisition unit 6043 obtains the third index data according to the time requirement coefficient corresponding to the project completion time and the project coefficient corresponding to the project type.

[0118] On the basis of the above embodiments, further, the technical data includes the types of target technologies adopted by the target object; correspondingly, the fourth acquisition module 605 is specifically used for:

[0119] Calculating the result of the product of the types of target technologies and the number of applications to be upgraded and transformed and their respective corresponding weights as the fourth index data.

[0120] Figure 9It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the ninth embodiment of the present invention, as Figure 9 shown. On the basis of the above embodiments, further, the measurement device for the digital transformation of a target object provided by an embodiment of the present invention further includes a sample data acquisition module 607 and a training module 608, where:

[0121] The sample data acquisition module 607 is used to acquire digital transformation sample data, and the digital transformation sample data includes each training sample and its corresponding priority label; among them, each training sample includes first sample index data, second sample index data, third sample index data, and fourth index data; the training module 608 is used to train the original model according to each training sample and its corresponding priority label to obtain the digital transformation measurement model.

[0122] Figure 10 It is a schematic structural diagram of a measurement device for the digital transformation of a target object provided by the tenth embodiment of the present invention, as Figure 10 shown. On the basis of the above embodiments, further, the measurement device for the digital transformation of a target object provided by an embodiment of the present invention further includes a measurement result acquisition module 609 and a priority order acquisition module 610, where:

[0123] The measurement result acquisition module 609 is used to acquire the measurement results of each target object; the priority order acquisition module 610 is used to obtain the priority order of each target object in the digital transformation based on the measurement results of each object.

[0124] The embodiments of the device provided by the embodiments of the present invention can specifically be used to execute the processing procedures of the above method embodiments, and its functions will not be described in detail here, and reference can be made to the detailed description of the above method embodiments.

[0125] It should be noted that the measurement method and device for the digital transformation of a target object provided by the embodiments of the present invention can be used in the financial field, and can also be used in any technical field other than the financial field. The embodiments of the present invention do not limit the application fields of the measurement method and device for the digital transformation of a target object.

[0126] Figure 11 It is a schematic physical structure diagram of an electronic device provided by the eleventh embodiment of the present invention, as Figure 11As shown in the figure, the electronic device may include: a processor 1101, a communications interface 1102, a memory 1103, and a communication bus 1104. Among them, the processor 1101, the communications interface 1102, and the memory 1103 complete communication with each other through the communication bus 1104. The processor 1101 may call the logical instructions in the memory 1103 to execute the following method: obtaining relevant data on the digital transformation of the target object; where the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; obtaining first indicator data based on the enterprise strategic document and the target object; quantifying the development cost data to obtain second indicator data; obtaining third indicator data based on the project data; obtaining fourth indicator data based on the technical data and the number of applications to be upgraded and transformed; obtaining the measurement result of the target object based on the first indicator data, the second indicator data, the third indicator data, the fourth indicator data, and a digital transformation measurement model; where the digital transformation measurement model is obtained by training based on digital transformation sample data.

[0127] In addition, when the logical instructions in the above-mentioned memory 1103 can be implemented in the form of software functional units and sold or used as an independent product, they can be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0128] This embodiment discloses a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the methods provided in the above method embodiments, for example, including: obtaining relevant data on the digital transformation of the target object; wherein the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; obtaining first index data according to the enterprise strategic documents and the target object; quantifying the development cost data to obtain second index data; obtaining third index data according to the project data; obtaining fourth index data according to the technical data and the number of applications to be upgraded and transformed; obtaining a measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and a digital transformation measurement model; wherein the digital transformation measurement model is obtained by training based on digital transformation sample data.

[0129] This embodiment provides a computer-readable storage medium that stores a computer program, and the computer program causes the computer to execute the methods provided in the above method embodiments, for example, including: obtaining relevant data on the digital transformation of the target object; wherein the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; obtaining first index data according to the enterprise strategic documents and the target object; quantifying the development cost data to obtain second index data; obtaining third index data according to the project data; obtaining fourth index data according to the technical data and the number of applications to be upgraded and transformed; obtaining a measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and a digital transformation measurement model; wherein the digital transformation measurement model is obtained by training based on digital transformation sample data.

[0130] Those skilled in the art should understand that the embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0131] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0132] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction means, and the instruction means implements the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0133] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one flow Figure 1 one flow or multiple flows and / or blocks Figure 1 or multiple blocks.

[0134] In the description of this specification, the description with reference to terms such as "an embodiment", "a specific embodiment", "some embodiments", "for example", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0135] The above specific embodiments have further elaborated on the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above is only the specific embodiments of the present invention and is not used to limit the protection scope of the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for measuring the digital transformation of a target object, characterized in that: Including: Obtain relevant data on the digital transformation of the target object; wherein, the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technology-related data, the number of applications to be upgraded and transformed, and project data; Obtain first index data according to the enterprise strategic document and the target object; Quantify the development cost data to obtain second index data; Obtain third index data according to the project data; Obtain fourth index data according to the technology-related data and the number of applications to be upgraded and transformed; Obtain the measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and a digital transformation measurement model; wherein, the digital transformation measurement model is obtained by training based on digital transformation sample data.

2. The method according to claim 1, characterized in that The obtaining of the first index data according to the enterprise strategic document and the target object includes: Perform word segmentation on the target object to obtain keywords corresponding to the target object; According to the keywords corresponding to the target object and the enterprise strategic document, obtain the total number of times the keywords corresponding to the target object appear in the enterprise strategic document; Obtain the first index data according to the total number of times the keywords corresponding to the target object appear in the enterprise strategic document and the total number of keywords corresponding to the target object.

3. The method according to claim 1, wherein The development cost data includes the number of versions and the average version cost; correspondingly, the quantifying of the development cost data to obtain second index data includes: Calculate the product of the number of versions and the average version cost as the second index data.

4. The method according to claim 1, characterized in that: The project data includes the project completion time and the project type; correspondingly, the obtaining of the third index data according to the project data includes: According to the project completion time and the corresponding relationship between the project completion time and the time requirement coefficient, obtain the time requirement coefficient corresponding to the project completion time; According to the project type and the corresponding relationship between the project type and the project coefficient, obtain the project coefficient corresponding to the project type; Obtain the third index data according to the time requirement coefficient corresponding to the project completion time and the project coefficient corresponding to the project type.

5. The method according to claim 1, wherein The technology-related data includes the types of target technologies adopted by the target object; correspondingly, the obtaining of the fourth index data according to the technology-related data and the number of applications to be upgraded and transformed includes: Calculate the result of the product of the types of target technologies and the number of applications to be upgraded and transformed and their respective corresponding weights as the fourth index data.

6. The method according to claim 1, characterized in that The training of the digital transformation measurement model based on digital transformation sample data includes: Obtain digital transformation sample data, which includes each training sample and its corresponding priority label; wherein, each training sample includes first sample index data, second sample index data, third sample index data, and fourth index data; Train an original model according to each training sample and its corresponding priority label to obtain the digital transformation measurement model.

7. The method according to any one of claims 1 to 6, characterized in that It also includes: Obtain the measurement results of each target object; Based on the measurement results of each target object, obtain the priority order of each target object in digital transformation.

8. A measurement device for the digital transformation of a target object, characterized in that, Including: An acquisition module, configured to acquire relevant data on the digital transformation of the target object; wherein, the relevant data on the digital transformation includes enterprise strategic documents, development cost data, technical data, the number of applications to be upgraded and transformed, and project data; A first acquisition module, configured to obtain first index data according to the enterprise strategic document and the target object; A second acquisition module, configured to quantify the development cost data to obtain second index data; A third acquisition module, configured to obtain third index data according to the project data; A fourth acquisition module, configured to obtain fourth index data according to the technical data and the number of applications to be upgraded and transformed; An analysis module, configured to obtain the measurement result of the target object according to the first index data, the second index data, the third index data, the fourth index data, and a digital transformation measurement model; wherein, the digital transformation measurement model is obtained by training based on digital transformation sample data.

9. A computer device, comprising a memory, a processor, and a computer program stored on the memory, characterized in that, The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program / instructions, and when the computer program / instructions are executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images