Management method and system for data asset entry

Abstract

The invention relates to the technical field of data management, and discloses a management method and system for data asset entry, and the method comprises the steps: collecting project approval data, evaluating the technical feasibility and market profit, verifying four essential components of capitalization, and forming a project approval voucher package and an approval record. Establishing a data resource catalog and classification, registering information elements and measuring integrity, checking consistency and issuing changes, and forming an information ledger and version; and enterprise and project double-view compliance diagnosis and closed loop rectification are carried out, ownership certification is collected and examined, and a compliance and ownership certificate package and risk measurement are output. According to the method, a standardized table entry system is established, then a standardized table entry process is realized, table entry steps are clarified, detailed guidance is provided for each table entry step through the system, clear, sufficient, complete and visual evidence chains are guided and collected, product content gathers knowledge and rich experience of domestic table entry experts, responsibilities of all departments are clarified, and internal cooperation efficiency is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data management, more particularly, it relates to a management method and system for data asset entry into a table. BACKGROUND

[0002] The entry of enterprise data assets into a table is not only a single behavior of recording the value of data assets into a financial statement, but also a process of resourceization, productization, commercialization, assetization and capitalization, and the process cycle is long.

[0003] The process includes data asset identification, compliance review, value assessment, financial management, quality management, safety management, internal control management and other steps, and multiple knowledge fields are required for the cooperation of multiple departments of an enterprise to complete the compliance entry of data assets into a table. The existing method and system cannot accurately and quickly establish a standardized entry system for an enterprise. SUMMARY

[0004] The present application provides a management method and system for data asset entry into a table, which solves the technical problem that the existing method and system in the related art cannot accurately and quickly establish a standardized entry system for an enterprise.

[0005] The present application provides a management method for data asset entry into a table, comprising: Project approval: collect project approval materials, assess technical feasibility and market profitability, verify the four capitalization requirements, form project approval credentials and approval records; Data information: establish data resource directory and classification, register information elements and measure completeness, check consistency and release changes, form information ledger and version; Compliance and right confirmation: enterprise and project dual-view compliance diagnosis and rectification closed loop, collect proof of ownership and review, output compliance and ownership credentials and risk measurement; Internal control management: collect internal control design and approval credentials, monitor and rectify non-conformities, output execution view and compliance measurement; Quality and safety: configure quality standards and scene weights, implement source control and conflict resolution, detect and evaluate defect density, conduct safety classification and compliance evaluation; Project budget: prepare and approve budget reports and resolutions, input internal and external sub-budgets and aggregate total, monitor deviations and trigger review and adjustment, form budget ledger; Cost management: define R&D and development stages and capitalization boundaries, collect costs to form initial measurement, product post-acceptance, amortization, impairment testing and termination confirmation, form measurement ledger; Information disclosure: set column reporting scope mapping, generate disclosure note draft, check disclosure consistency and record rectification; Value assessment: Prepare income approach input and discount rate, estimate income according to the sharing rate model, weight by AHP and test, if necessary, collect external opinions; Income management: Enter contracts, invoices and acceptance documents, confirm income according to performance or acceptance, form project realization rate and display.

[0006] Further, in the project approval, it includes the following steps: S110, collection of project approval materials: collect and upload development plan, project approval resolution, product information, market and value analysis, profit forecast, technology roadmap and verification, maturity assessment; S120, technical feasibility verification: evaluate feasibility according to technology roadmap and verification materials, form score and set threshold; S130, market and profit forecast: quantify the difference between pre-application and post-application income and discount, determine whether it covers the estimated R&D expenditure; S140, threshold check of capitalization conditions: check the four requirements of capitalization with logical gates, and make a decision whether to enter the development stage.

[0007] Further, in the data information, it includes the following steps: S210, catalog modeling and classification grading: establish data asset catalog, complete classification and grading of subject / theme / business, and permission / version control; S220, information element registration and field completeness: register source, type, structure, size, update, standard, quality elements, and calculate completeness; S230, inventory plan execution and consistency check: develop and execute inventory plan, calculate consistency error rate of catalog and assets; S240, change trigger, review and release: establish trigger conditions, complete integrity / necessity / conformance / influence range / ownership review and release change notice and catalog update.

[0008] Further, in the compliance right confirmation, it includes the following steps: S310, enterprise perspective compliance diagnosis: risk scoring on enterprise basic information, qualification, whole-process compliance diagnosis, storage obligation, penalty and claim; S320, project perspective compliance diagnosis: risk scoring on internal generation / purchase / outsourcing / APP information processing / cross-border / facial recognition / platform attribute dimensions, and form rectification plan; S330, right ownership proof collection and review: collect data intellectual property registration, data asset registration, data product registration, notarization right confirmation, and element comprehensive registration, complete right ownership review; S340, compliance rectification closed loop and residual risk: implement rectification and measure residual risk.

[0009] Further, in internal control management, the following steps are included: S410, internal control design and approval collection: upload organization, system, process and approval documents to form internal control design compliance scale; S420, internal control operation monitoring and non-compliance: record operation non-compliance and rectification materials, and calculate non-compliance rate; S430, internal control execution view and compliance scale: summarize the execution view and output the compliance scale.

[0010] Further, in quality and safety, the following steps are included: S510, quality standard configuration and scene weight: configure scene weight and calculate data quality score; S520, source governance and one data one source: establish master data and source standard, eliminate conflicts, and form conflict rate; S530, detection evaluation and defect density: execute automated rules and manual sampling, and calculate defect density; S540, security classification and compliance evaluation: complete data security classification, network security protection evaluation, classification and risk assessment, and output security risk index.

[0011] Further, in project budget, the following steps are included: S610, budget report preparation and approval: generate budget report, upload resolution and approval documents; The budget report includes cost classification, sub-item budget, funding sources and risk control; S620, sub-item budget input (internal / external): input developer cost, intangible asset amortization, fixed asset depreciation, other internal cost and external cost, and total budget; S630, budget deviation monitoring and review: calculate deviation rate and trigger review and adjustment on a regular basis.

[0012] Further, in cost management, the following steps are included: S710, research and development stage definition: clearly define the start date of the development stage and the stage division, research stage expenditure is included in current period profit and loss, and development stage meets capitalization conditions to be capitalized; S720, initial measurement and cost collection: collect internal and external costs according to the criteria to form the initial cost; S730, product acceptance and amortization method confirmation: accept the product after it is formed, determine the amortization method and residual value, and upload the acceptance documents; S740, subsequent measurement: amortization and impairment testing: execute linear amortization and impairment testing; S750, termination confirmation and disposal: terminate confirmation when sold / donated / cannot bring economic benefits, and calculate disposal profit and loss; In information disclosure, the following steps are specifically included: S810, column report dimension mapping setting: adding "data resources" under the balance sheet "inventory / intangible assets / development expenditure" and explicitly mapping rules; Among them, for sale, it is inventory; for internal use and non-transfer of ownership, it is intangible assets; development stage meets capitalization, it is development expenditure; S820, report note draft generation: generate data resource holding purpose, formation mode, business model, economic benefit consumption mode disclosure draft and collect vouchers; S830, disclosure consistency check: check the consistency of column report and underlying vouchers, and form consistency ratio; Further, in value assessment, the following steps are specifically included: S910, income method input preparation: determine the income period, expected income, discount rate and sharing rate, and calculate the valuation; ; Among them, is the present value of the assessment; is the expected income of the period; is the discount rate; is the income period; S920, discount rate construction: using the risk-free interest rate plus risk premium rate model; ; Among them, is the risk-free interest rate; is the risk premium; is the number of risk dimensions; is the discount rate S930, sharing rate model: when the income cannot be measured alone, use the sharing rate method to calculate the expected income of data asset contribution; ; Among them, is the sharing rate; is the income increment brought by data assets in the period; is the realization probability; is the expected income in the period; S940, AHP hierarchical analysis weight: construct judgment matrix, calculate eigenvector weight, and conduct consistency check; ; ; Consistency determination: pass.

[0013] in, This is a pairwise comparison judgment matrix; This is the normalized relative weight vector; It is the largest eigenvalue; As a consistency indicator; The consistency ratio; It is a random consistency indicator; The order of the matrix; S950, Collection of External Evaluation Opinions: When necessary, collect third-party evaluation opinions and methodological descriptions.

[0014] This invention also proposes a management system for data asset entry into tables, comprising: Project initiation and capitalization determination module: collects and approves project initiation materials, assesses technical feasibility and economic benefit coverage, determines development access according to the four capitalization requirements, and accumulates project initiation vouchers; Data information catalog and change management module: Modeling and hierarchical data asset catalog, registering element measurement completeness, inventorying consistency and correcting deviations according to thresholds, standardizing change review and release, and maintaining ledgers and versions; Compliance and Ownership Confirmation Module: Conduct compliance diagnosis and risk scoring for enterprises / projects and make rectifications, collect and review ownership certificates, measure residual risks, and form a compliance and ownership certificate package; Internal control management module: collects system and process approvals, calculates design compliance, monitors non-conformities and rectification, outputs execution views and compliance ledgers, and drives continuous improvement; Quality and Safety Module: Configure quality standards and scenario weights to generate quality scores, promote master data governance to reduce conflict rates, organize testing and evaluation to measure defect density, and complete safety classification and assessment to output risk indices; Project Budget Module: Prepare and approve budget reports, enter internal and external items and summarize the total amount, monitor deviations on schedule and review and adjust accordingly, and generate budget voucher ledger; Cost Measurement and Subsequent Management Module: Define the boundaries between R&D / development and capitalization, collect initial measurement of cost formation, accept products after formation, confirm amortization and impairment, terminate disposal and calculate profit and loss, and improve the measurement ledger; Disclosure Management Module: Set up a new "Data Resource" report mapping, generate supplementary notes and verify consistency and rectification to ensure that the disclosure is consistent with the underlying vouchers; Valuation module: Prepare income approach and discount rate, estimate income that cannot be measured separately using profit sharing method, calculate weights and perform consistency test using AHP, and collect third-party opinions when necessary; Revenue Management Module: Enter contracts / invoices / acceptances and associate them with projects; recognize revenue in stages according to performance or acceptance; display the conversion rate; and connect with the report management system to ensure consistency. Public parameter and threshold configuration module: Centrally configures and versiones measurement thresholds and parameters, supports weight library, parameter calibration and backtracking calibration, and is standardized, interpretable and traceable; Metrics measurement and calculation engine: Unified formulas and caliber control ensure weight normalization, effective ratio range and denominator, and non-negative amounts. It provides batch recalculation, point-in-time snapshots, and task orchestration to support cross-module metric consistency. Audit trail and access control module: records the entire process of collection, modification and approval, with refined role permissions and evidence version verification, supporting disclosure and compliance evidence collection and review, and meeting regulatory audit requirements.

[0015] The beneficial effects of this invention are as follows: This invention takes a holistic view of the entire lifecycle and all knowledge domains, forming a three-part, ten-step methodology for data asset entry into financial statements. This methodology covers three dimensions: management (project management, internal control, quality and safety), basic work (data information, compliance and rights confirmation, value assessment), and financial work (project budgeting, cost management, revenue management, information disclosure). It helps enterprises establish a standardized entry system, thereby achieving a standardized entry process and clarifying the entry steps. Through the system, each entry step is equipped with detailed guidance to help collect a clear, sufficient, complete, and visualized chain of evidence. The product content gathers the knowledge and rich experience of domestic data asset entry experts, clarifies the responsibilities of each department, and improves internal collaboration efficiency. Attached Figure Description

[0016] Figure 1 This is a flowchart of a management method for data asset entry into a table according to the present invention; Figure 2 This is a schematic diagram of the data flow in each step of a data asset entry management method according to the present invention; Figure 3 This is a flow chart of the swimlane in an example of the present invention; Figure 4 This is a schematic diagram of consistency verification disclosed in an example of the present invention; Figure 5 This is an example of the convergence view of the evidence chain and ledger in this invention; Figure 6 This is a schematic diagram of the cost measurement and subsequent management chain in an example of the present invention. Detailed Implementation

[0017] The subject matter described herein will now be discussed with reference to exemplary embodiments. It should be understood that these embodiments are discussed only to enable those skilled in the art to better understand and implement the subject matter described herein, and changes may be made to the function and arrangement of the elements discussed without departing from the scope of this specification. Various processes or components may be omitted, substituted, or added as needed in the examples. Furthermore, features described in some examples may be combined in other examples.

[0018] like Figure 1 and Figure 2 As shown, a management method for recording data assets in a table includes the following steps: S100, Project Initiation (Platform: Project Management): Based on the four elements of project initiation materials, technical feasibility, market and profitability and capitalization, a project initiation certificate package and approval records are formed; In one embodiment of the present invention, the following steps are specifically included: S110, Project Initiation Data Collection: Collect and upload development plans, project initiation resolutions, product information, market and value analysis, profit forecasts, technology roadmaps and verifications, maturity assessments, etc. S120, Technical Feasibility Verification: Assess feasibility based on the technical approach and verification materials, and generate a score. And set a threshold ; ; in, Score the technical feasibility (0-1); For the technically feasible threshold ( ); It is a Boolean decision (true / false).

[0019] S130, Market and Profit Forecast (Economic Benefit Coverage Determination): Quantify the difference in revenue before and after application and discount it to determine whether it covers the estimated R&D expenditure. ; Judgment condition: If If so, then the economic interest condition is met.

[0020] in, The discounted incremental revenue (in the same currency as the cost); For later application Periodic returns; For the early stage of application Periodic returns; The discount rate (which can be derived from...) Build, ); For the forecast period, ; This is an estimate of research and development expenditures.

[0021] S140, Capitalization Condition Threshold Verification: The four elements of capitalization are verified using logic gates to determine whether to enter the development stage; ; in, For technical feasibility; For project-based management and separate accounting; For reliable measurement of expenditures; The inflow of economic benefits can be proven; all four requirements and the result are Boolean decisions (true / false). This is the result of the judgment.

[0022] S200, Data Information (Platform: Information Management): Establish a data asset catalog and classification, complete the registration and integrity measurement of information elements, perform inventory consistency verification and change review and release, and form information voucher ledgers and catalog versions; In one embodiment of the present invention, the following steps are specifically included: S210, Directory Modeling and Classification: Establish a data asset directory and complete the classification and hierarchical management of subjects / themes / businesses, as well as permission / version control; S220, Information Element Registration and Field Completeness: Register elements such as source, type, structure, scale, update, standard, and quality, and calculate completeness. ; ; Threshold control: Only then can we proceed to the next step.

[0023] in, For the first Completeness indicator (0 / 1); As weight, ; For the total number of elements, ; For completeness, ; The minimum integrity threshold, .

[0024] S230, Inventory Plan Execution and Consistency Verification: Develop and execute the inventory plan, and calculate the consistency error rate between the inventory list and assets. ; ; Threshold control: ; Exceeding the threshold triggers correction and directory updates.

[0025] in, This represents the number of items that do not match the catalogue and the assets. ; Total assets ; For consistency error rate, ; For the maximum permissible error rate, .

[0026] S240, Change Triggering, Review and Release: Establish triggering conditions, complete the completeness / necessity / compliance / scope of impact / ownership review and release change notices and catalog updates; S300, Compliance and Ownership Confirmation (Platform: Enterprise Legality and Compliance): Conduct compliance diagnosis and rectification closed loop from the dual perspectives of enterprises and projects, collect ownership certification materials and complete the review, and form a compliance and ownership certificate package and risk measurement; In one embodiment of the present invention, the specific steps include: S310, Enterprise-Perspective Compliance Diagnosis: Risk scoring R is conducted based on the enterprise's basic information, qualifications, full-process compliance diagnosis, storage obligations, penalties and claims. ; Threshold control: Only then can a company pass the compliance checkpoint.

[0027] in, For the first Dimensional risk level (0-1). ; As weight, ,and ; For the number of dimensions, ; For the overall risk score, ; The maximum acceptable risk threshold, .

[0028] S320, Project-Based Compliance Diagnosis: Covers dimensions such as internal generation / outsourcing / outsourcing / APP information processing / cross-border / facial recognition / platform attributes to conduct risk scoring and formulate rectification plans; S330, Collection and Examination of Ownership Certificates: Collection of evidence such as data intellectual property registration, data asset registration, data product registration, notarized confirmation of rights, and comprehensive registration of elements, and completion of ownership examination; S340, Compliance Rectification Closed Loop and Residual Risks: Implementing Rectification and Measuring Residual Risks ; ; in, For the overall risk score, ; The effective coefficient of rectification, ; For the residual risks after rectification, .

[0029] S400, Internal Control Management (Platform: Internal Control Design / Operation / Internal Control): Collects internal control design and approval documents, monitors operational non-conformities and implements rectification and closure loop, and outputs execution views and compliance ledgers.

[0030] In one embodiment of the present invention, the following steps are specifically included: S410, Internal Control Design and Approval Collection: Upload organizational structure, regulations, processes, and approval documents to generate an internal control design compliance rate. ; ; in, For the first Control point establishment indication (0 / 1); As weight, ,and ; Number of control points; To ensure the design meets the standards, .

[0031] S420, Internal Control Operation Monitoring and Non-conformities: Record operational non-conformities and corrective action documents, and calculate the non-conformity rate. ; ; Threshold control: And track and rectify the closed loop.

[0032] in, Number of non-compliant items; Number of inspections; Non-compliance rate; This represents the maximum permissible non-compliance rate.

[0033] S430, Internal Control Execution View and Compliance: Summarize execution views and output compliance scores. .

[0034] S500, Quality and Safety (Platform: Enterprise Quality and Safety / Project Quality and Safety / Quality and Safety): Complete the construction of the quality system and scenario-weighted scoring, implement source governance and conflict resolution, perform testing and assessment and measure defect density, and carry out safety classification and compliance assessment.

[0035] In one embodiment of the present invention, the following steps are specifically included: S510, Quality Standard Configuration and Scene Weighting: Configure scene weights and calculate data quality scores. ; ; Threshold control: Only then can product acceptance proceed.

[0036] in, For the scene Quality score; As weight, and ; For the number of scenes, ; Rate the quality; This is the minimum quality threshold.

[0037] S520, Source Governance and One Data Source: Establishing master data and source standards, eliminating conflicts, and forming a conflict rate. ; ; in, Number of field conflicts; Total number of fields; For conflict rate; This represents the maximum permissible conflict rate.

[0038] S530, Inspection and Evaluation and Defect Density: Execute automated rules and manual sampling to calculate defect density. ; ; in, The number of defects; To record the total number; Defect density.

[0039] S540, Security Classification and Compliance Assessment: Completes data security classification, compliance assessment, classification and risk assessment, and outputs a security risk index. ; ; in, For the first Class of safety exposure; As weight, and ; For the number of security dimensions, ; This is a safety risk index.

[0040] S600, Project Budget (Platform: Project Budget): Prepare and approve budget reports and resolutions, enter internal / external itemized budgets and summarize the total budget, monitor deviations and trigger reviews and adjustments, and generate a budget voucher ledger.

[0041] In one embodiment of the present invention, the following steps are specifically included: S610, Budget Report Preparation and Approval: Generate budget reports (cost classification, itemized budgets, funding sources and risk control), and upload resolutions and approval documents.

[0042] S620, Itemized Budget Entry (Internal / External): Enter developer costs, intangible asset amortization, fixed asset depreciation, other internal costs and external costs, and summarize the total budget.

[0043] ; in, This refers to the budget amounts for internal items; This refers to the budget amount for external sub-items; This is the total budget.

[0044] S630, Budget Deviation Monitoring and Review: Calculate the deviation rate on schedule and trigger review and adjustment.

[0045] ; in, Actual cost; For budget costs; To verify the trigger threshold, The deviation rate; Triggering rules typically use absolute deviation comparison: .

[0046] S700, Cost Management (Platform: Development Validation / Cost Accounting / Product Acceptance / Subsequent Measurement / Termination Validation) defines the research and development phase and clarifies the capitalization boundaries, collects internal and external costs to form initial measurement, and completes acceptance and amortization, impairment testing and termination validation after product formation, forming a cost and measurement voucher ledger.

[0047] In one embodiment of the present invention, the following steps are specifically included: S710, Definition of Research and Development Phases: Clearly define the start date and phase division of the development phase; research phase expenditures are included in current profit and loss; and development phase expenditures can only be capitalized if they meet the capitalization conditions. S720, Initial Measurement and Cost Accumulation: Accumulate internal and external costs according to their scope to form initial costs. ; ; in, For internal costs; External costs; This is the initial measurement cost.

[0048] Internal costs include developer costs, amortization of intangible assets, depreciation of fixed assets, and other internal costs. Developer costs include the required personnel positions, departments, and average cost per person per month for those involved in data asset development.

[0049] Intangible asset amortization includes the intangible asset number, intangible asset name, monthly amortization amount, start / end participation date, and expected number of participation months that need to be amortized in the project.

[0050] Fixed asset depreciation includes the equipment number, equipment name, monthly depreciation amount, start / end date of participation, and expected number of months of participation.

[0051] Other internal costs include cost type, name, period / point-in-time cost, cost amount, month incurred, start date of procurement, end date of procurement, expected number of months involved, and total amount.

[0052] External costs include cost type, name, period / point in time cost, cost amount, month incurred, start date of procurement, end date of procurement, expected number of months of participation, and total amount.

[0053] S730, Product Acceptance and Amortization Method Confirmation: After the product is manufactured, accept it, determine the amortization method and residual value, and upload the acceptance certificate; Prerequisite requirements: .

[0054] S740, Subsequent Measurement: Amortization and Impairment Test: Perform straight-line amortization and impairment test; ; ; ; in, It is the residual value; This refers to the number of service life periods. For the first use case Expected returns; The discount rate; The number of periods for generating income; For use value; For disposal price; To handle related expenses; Net realizable value; The recoverable amount; Book value; Impairment loss; This represents the amortization amount over the period.

[0055] S750, Derecognition and Disposal: Derecognition is performed upon sale / donation / failure to generate economic benefit, and the gain or loss on disposal is calculated. ; in, For the disposal of income; For cumulative amortization; For cumulative impairment; Book value; To handle gains and losses.

[0056] S800, Information Disclosure (Platform: Report Management): Set up reporting caliber mapping and generate disclosure notes, perform disclosure consistency verification and issue consistency ratio and rectification record; In one embodiment of the present invention, the following steps are specifically included: S810, Reporting Scope Mapping Settings: Add "Data Resources" under "Inventory / Intangible Assets / Development Expenditures" in the balance sheet and specify the mapping rules; If the asset is intended for sale, it is considered inventory; if it is intended for internal use and ownership is not transferred, it is considered intangible asset; if it meets the capitalization criteria during the development phase, it is considered development expenditure. S820, Generation of Report Notes: Generate disclosure documents for data resource holding purpose, formation method, business model, and economic benefit consumption method, and collect vouchers; S830, Disclosure Consistency Verification: Verifies the consistency between the reported data and the underlying documents to establish a consistency ratio. ; ; in, This represents the number of consistent matches. The number of items tested; The consistency ratio; This represents the minimum consistency threshold.

[0057] S900, Value Assessment (Platform: Value Assessment): Prepare income approach inputs and discount rate construction, estimate income contribution based on profit sharing model, use AHP to calculate weights and perform consistency checks, and collect external assessment opinions and methodological explanations when necessary; In one embodiment of the present invention, the following steps are specifically included: S910, Income Approach Input Preparation: Determine the Income Period Expected returns Discount rate With share ratio Calculate the valuation; ; in, To assess present value (amount); For the first Expected returns; The discount rate; The benefit period is the number of years.

[0058] S920, Discount Rate Construction: Adopts the risk-free rate plus risk premium model; ; in, The risk-free rate; For the first Individual risk premiums (technology, market, compliance, liquidity, etc.); Number of risk dimensions; is the discount rate.

[0059] S930, Revenue Sharing Model (Scenario Relativity): When revenue cannot be measured separately, the revenue sharing method is used to calculate the expected revenue contributed by data assets. ; in, The percentage of revenue shared; For the first The incremental revenue (amount) brought about by data assets in the period; Probability of realization; For the first Expected return for the period (calculated using the profit-sharing method when it cannot be measured separately).

[0060] S940, AHP (Analog-Philosophical Analysis) Weight Calculation: Constructing the Judgment Matrix Calculate the eigenvector weights And perform a consistency check; ; ; Consistency determination: pass.

[0061] in, For pairwise comparison judgment matrices (positive and negative: ); This is the normalized relative weight vector; It is the largest eigenvalue; As a consistency indicator; The consistency ratio; This is a random consistency index (values ​​are taken from the Saaty table). is the order of the matrix.

[0062] S950, Collection of External Evaluation Opinions: When necessary, collect third-party evaluation opinions and methodological descriptions.

[0063] S1000, Revenue Management (Platform: Revenue Accounting) enters contracts, invoices and customer acceptance vouchers, performs revenue recognition and accounting according to the performance progress or acceptance results, generates project realization rate and displays it in the view, and connects with report management to ensure consistent disclosure; In one embodiment of the present invention, the following steps are specifically included: S1010, Contract and Invoice Entry: Enter contracts, invoices and customer acceptance vouchers, and link them to the data asset project; S1020, Revenue Recognition and Accounting: Revenue is recognized based on the progress of performance or acceptance results, during the formation period. Confirmed amount ; ; in, For the first Base amount of contracts / invoices that can be confirmed in the period; This is the performance / acceptance schedule coefficient; For the first Revenue amount recognized in the period.

[0064] S1030, Monetization Association and Display: In the display view, link revenue and data asset items to generate a monetization rate. ; ; in, For the first Revenue actually recognized in the period; For the first Expected returns; During the evaluation period; This is the ratio of actual realized returns to expected returns (used for ex-post evaluation).

[0065] S1040, Disclosure Integration: Integrates with the report management module to ensure that the disclosed information is consistent with the revenue accounting.

[0066] like Figure 2 As shown, based on the steps in the above-described management method for data asset entry into tables, a management system for data asset entry into tables is also needed for management operations, including the following modules: Project initiation and capitalization determination module: responsible for the full collection and approval process of project initiation materials, calculating technical feasibility scores based on technical routes and verification materials and forming Boolean judgments according to thresholds, combining the incremental revenue before and after application after discounting with the R&D budget estimate to determine the economic benefit coverage, and finally forming an admission conclusion on whether to enter the development stage through the logic gate verification of the four elements of capitalization, and storing the project initiation voucher package and approval records. Data Information Catalog and Change Management Module: Responsible for modeling and classifying data asset catalogs, version and access control, registration of information elements such as source type, structure, scale, update standards, and quality, and measurement of field completeness; executing inventory plans to calculate the catalog and asset consistency error rate and triggering correction based on thresholds; establishing change triggering, review, and release mechanisms to ensure the integrity, necessity, and ownership compliance of catalog evolution; and maintaining information voucher ledgers and catalog versions. The compliance and rights confirmation module is responsible for compliance diagnosis and risk scoring from both the enterprise and project perspectives. On the enterprise side, it conducts weighted scoring based on basic information, qualifications, full-process compliance, storage obligations, and penalty claims, and makes judgments based on thresholds. On the project side, it covers scenarios such as internal generation, external purchase, outsourcing, APP information processing, cross-border, facial recognition, and platform attributes to form rectification plans. At the same time, it collects and reviews ownership certificates such as data intellectual property registration, data asset registration, data product registration, notarized rights confirmation, and comprehensive element registration, and conducts closed-loop rectification and measures residual risks, ultimately forming a compliance and ownership certificate package. Internal control management module: responsible for the collection of organization, system, process and approval vouchers, calculating the compliance degree of internal control design according to the configured control points and weights, monitoring non-conformities during operation and recording rectification materials to form non-conformity rate and execution compliance, reflecting the matching degree between internal control design and operation through process view and compliance ledger and driving continuous improvement; The Quality and Safety Module is responsible for the scenario-based configuration and weight management of quality standards to generate data quality scores, promoting master data governance and one data source to reduce field conflict rates, organizing automated rules and manual sampling to calculate defect density, completing data security classification, information security level assessment, classification and grading and risk assessment to output security risk index, and forming a credential chain and improvement closed loop in the two dimensions of quality and safety. Project Budget Module: Responsible for the preparation and approval of budget reports, including a complete presentation of cost classification, itemized budgets, funding sources and risk control. It supports the entry of internal and external itemized budgets and the summarization of total budgets. It calculates the budget deviation rate on a regular basis and performs review and adjustment based on trigger thresholds to maintain the compliance and controllability of budget execution. Cost Measurement and Subsequent Management Module: Responsible for defining and clarifying the capitalization boundaries of the research and development phase; collecting internal and external costs to form initial measurement during the development phase; completing acceptance and confirming the amortization method and residual value after product formation; performing straight-line amortization and impairment testing to calculate recoverable amount and impairment loss and dynamically maintaining book value; and derecognition and calculating disposal gains and losses when the product is sold, donated, or no longer generates economic benefits, thus forming a complete cost and measurement voucher ledger. Disclosure Management Module: Responsible for setting the mapping of balance sheet reporting scope, adding the category of "Data Resources" under "Inventory / Intangible Assets / Development Expenditure" and clarifying the mapping rules according to the purpose, while generating supplementary notes to disclose the purpose of holding, formation method, business model and economic benefit consumption method, and calculating the consistency ratio through consistency verification and recording rectification information to ensure that the disclosure is consistent with the underlying vouchers. The valuation module is responsible for preparing inputs and calculating valuations for the income approach, constructing a risk-free rate plus risk premium model based on the discount rate, estimating expected returns based on the revenue increment and realization probability using the profit-sharing method for scenarios that cannot be measured independently, constructing a judgment matrix, calculating weights, and conducting consistency checks through the analytic hierarchy process, and collecting third-party valuation opinions and methodologies when necessary to improve the objectivity and auditability of the valuation. Revenue Management Module: Responsible for entering and associating contracts, invoices and customer acceptance vouchers with projects; recognizing revenue in installments according to performance progress or acceptance results and generating the recognized amount; calculating the project realization rate based on the expected return during the assessment period and displaying it in the view; and interfacing with the report management module to ensure consistency between disclosure and revenue accounting. The public parameter and threshold configuration module is responsible for the centralized configuration and version management of various measurement thresholds and parameters in the platform, including the setting and effective scope of thresholds such as completeness, quality, risk, consistency, error, technical feasibility, and deviation review. It supports scenario-based weight library and parameter calibration, backtracking calibration and auditing, ensuring that the measurement standards of each module are unified, interpretable and traceable. Metrics Measurement and Calculation Engine: Responsible for unified implementation of formula calculation and data caliber control, ensuring constraints such as weight normalization, ratio range, denominator validity and non-negativity of amount, and providing batch recalculation, point-in-time snapshot and task orchestration capabilities; This ensures that indicators such as technical feasibility, quality score, risk score, completeness, consistency ratio, conflict rate, defect density, budget deviation, amortization and impairment, present value and profit sharing rate are reused and kept consistent across modules. Audit trail and access control module: Responsible for non-repudiable end-to-end recording of the collection, modification and approval process of all vouchers and metrics, providing fine-grained control over roles and permissions, as well as version retention and verification of evidence, supporting the collection and review of evidence for external report disclosure and compliance checks, and ensuring that system operations and results meet audit and regulatory requirements.

[0067] like Figures 3-6 As shown, in one embodiment of the present invention, the following example is given: a system application for data resource entry into a table; The project background and objectives of the above example are as follows: This example takes the addition of a "data resource-driven product / service" project to the existing business system of an enterprise as the background. It focuses on the formation, management, measurement, disclosure and monetization of data resources, and applies the various modules of the "management methods and systems for data asset entry" to output vouchers and ledger products from project initiation to revenue, so as to support accounting processing, disclosure consistency and audit review. In this example, the above-mentioned management method for data asset entry into tables is applied and the operation is carried out on the multi-module architecture of the system. The specific process is as follows: 1. Project initiation and capitalization determination: Form a project initiation certificate package and approval records, including development plan, project initiation resolution, product and scenario description, market and value analysis, profit logic, technical route and verification materials, maturity assessment, as well as technical feasibility score and threshold determination records, discount determination explanation of economic benefit coverage, and logic gate verification results of the four elements of capitalization. The output conclusion is the admission and continuous review mechanism for whether to enter the development phase.

[0068] 2. Data information catalog and change management: Establish a data asset catalog and complete classification, grading and version permission control, register information elements such as source, type, structure, scale, update, standard, quality, etc., and generate field completeness measurement and threshold judgment conclusions; Prepare and execute inventory plans, record the consistency error rate between the catalog and assets and corrective actions; construct a closed-loop record of change triggering, review and release, and form an information voucher ledger and catalog version archive.

[0069] 3. Compliance and Rights Confirmation: Conduct compliance diagnosis from both the enterprise and project perspectives and output risk scores and threshold determination conclusions, and formulate immediate and time-limited rectification plans; collect ownership certification materials, including data intellectual property registration, data asset registration, data product registration, notarized rights confirmation and comprehensive element registration, and complete ownership review and opinion feedback; After implementing rectification, the measurement and description of residual risks are recorded and archived as a compliance and ownership certificate package.

[0070] 4. Internal Control Management: Collect organizational structures, systems, processes, and approval documents; calculate and record the compliance rate of internal control design; monitor non-conformities and rectification materials during operation; and continuously generate non-conformity rates and compliance rates. The summary process view and compliance log are used to demonstrate the adaptability of internal control design and operation and the improvement loop.

[0071] 5. Quality and Safety: Configure quality standards and scenario weights, generate explanatory materials for data quality scoring and scenario scoring lists; establish master data and source standards, and record the entire process of conflict identification and resolution; The system integrates automated rules with manual sampling to generate documentation on inspection assessments and defect density. Complete data security classification, information security level assessment, classification and grading, and risk assessment, and output the basis and assessment conclusions for the security risk index.

[0072] 6. Project Budget: Prepare and approve a budget report covering cost classification, itemized budgets, funding sources, and risk control; Enter internal and external itemized budgets and summarize the total budget. Generate budget deviation monitoring and review records on schedule, retain adjustment explanations and vouchers, and form a budget voucher ledger.

[0073] 7. Cost Measurement and Subsequent Management: Define the research and development phase and clarify the capitalization boundaries; collect internal and external costs according to the scope to form initial measurement; after product formation, complete the acceptance and amortization method confirmation, and record the basis for the selection of residual value and useful life; Perform straight-line amortization and impairment testing, and generate calculation instructions and valuation basis for recoverable amount and impairment loss; complete the derecognition and calculate disposal gain or loss when the asset is sold, donated or no longer generates economic benefits, and form a cost and measurement voucher ledger.

[0074] 8. Disclosure Management: Set up reporting scope mapping, add a "Data Resources" category under relevant items in the balance sheet, and clarify the mapping rules according to their uses; Generate disclosure notes covering the purpose of holding, formation method, business model, and method of consuming economic benefits; Perform disclosure consistency verification, output a systematic explanation of the consistency ratio and rectification record to ensure that the disclosed information is consistent with the underlying vouchers.

[0075] 9. Valuation: Prepare a description of the business scope and valuation process documents for the income approach input, and construct a description of the composition of the risk-free rate and risk premium for the discount rate; In scenarios where revenue cannot be measured separately, a revenue sharing rate model is adopted, and the applicability of the model and the determination of the relativity of the scenario are recorded. The judgment matrix, weights, and consistency test text descriptions are generated using the analytic hierarchy process; when necessary, third-party evaluation opinions and methodological descriptions are collected to form supporting evaluation materials.

[0076] 10. Revenue Management: Enter contracts, invoices and customer acceptance vouchers and complete project association; recognize and calculate revenue in installments based on performance progress or acceptance results; and accumulate revenue recognition process materials and ledgers. The display view links revenue and data asset items to form an explanatory view of project monetization rate, and interfaces with the report management module to ensure consistency between external disclosure and revenue accounting.

[0077] 11. Evidence Chain and Audit Trail: The voucher, measurement and judgment process of all modules are recorded and traced in the entire chain through the system's audit trail and access control. The configuration of common parameters and thresholds realizes the unified management and version control of measurement thresholds. The indicator measurement and calculation engine is responsible for the consistency of formulas and definitions, batch recalculation and point-in-time snapshots to support the penetrating verification of internal control, accounting entries and external audits.

[0078] The following additions are made to the above description: The discount rate is determined by analyzing and evaluating factors such as the interest rate on the benchmark date, the rate of return on investment, and the technical, operational, market, and financial factors involved in the implementation of data asset rights. The discount rate for data assets can be determined using the risk-free rate of return plus the risk premium.

[0079] Discount rate: The discount rate is determined by analyzing and evaluating factors such as the interest rate on the benchmark date, the rate of return on investment, and the technical, operational, market, and financial factors involved in the implementation of data asset rights. The discount rate for data assets can be determined using the risk-free rate of return plus the risk premium.

[0080] Revenue Sharing Rate: This method calculates the expected return on data assets. It's applicable to data asset application scenarios such as software development services, data platform integration services, and data analysis services, when the revenue generated by other related asset elements cannot be measured independently. It processes and utilizes primary data, integrating it with traditional projects like software development services to create complete solutions, enabling continuous indirect monetization of data during future forecast periods. The Analytic Hierarchy Process (AHP) is a multi-criteria decision-making method that combines qualitative and quantitative analysis. AHP breaks down complex problems into several component factors, groups them according to their dominance relationships to form a hierarchical structure, and then determines the analysis result through pairwise comparisons and comprehensive judgment. The specific steps are as follows: Analyze the dominance relationships among the various factors and establish a hierarchical structure.

[0081] For multiple elements at the same level, make pairwise judgments on the importance of a certain criterion at the higher level, and construct a comparison judgment matrix. The relative weights of the comparison elements to this criterion are calculated using the judgment matrix.

[0082] This method calculates the expected return on data assets using a revenue-sharing ratio. It's applicable to data asset application scenarios such as software development services, data platform integration services, and data analysis services, when the revenue generated by other related asset elements cannot be measured independently. It processes and utilizes primary data, integrating it with traditional projects like software development services to create complete solutions, enabling continuous indirect monetization of data during future forecast periods.

[0083] The embodiments of the present invention have been described above, but the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention, all of which are within the protection scope of the present invention.

Claims

1. A management method for recording data assets into a table, characterized in that, Comprise: Project approval: Collect and upload project information, assess technical feasibility and market profitability, verify the four capitalization requirements, and form the project approval package and approval records; Data information: Establish data resource directory and classification, register information elements and measure completeness, check consistency and release changes, and form information accounts and versions; Compliance and rights: Enterprise and project dual perspective compliance diagnosis and rectification, collect ownership proof and review, output compliance and ownership certificate package and risk measurement; Internal control management: Collect internal control design and approval documents, monitor and rectify non-compliance items, and output execution view and compliance measurement; Quality and safety: Configure quality standards and scenario weights, implement source control and conflict resolution, detect and evaluate defect density, and conduct safety classification and compliance evaluation; Project budget: Prepare and approve budget reports and resolutions, input internal and external sub-budget and total amount, monitor deviations and trigger review and adjustment, and form budget accounts; Cost management: Define R&D and development stages and capitalization boundaries, collect costs to form initial measurement, and perform acceptance, amortization, impairment testing and termination confirmation after product formation, and form measurement accounts; Information disclosure: Set column reporting scope mapping, generate disclosure note draft, check disclosure consistency and record rectification; Value assessment: Prepare income approach input and discount rate, estimate income according to the share rate model, weight using AHP and test, and collect external opinions if necessary; Income management: Input contracts, invoices and acceptance documents, confirm income according to performance or acceptance, form project realization rate and display.

2. The management method for data asset entry into a table according to claim 1, characterized in that, In project approval, the following steps are included: S110, project information collection: Collect and upload development plan, project approval, product information, market and value analysis, profit forecast, technology roadmap and verification, maturity assessment; S120, technical feasibility verification: Evaluate feasibility based on technology roadmap and verification materials, form score and set threshold; S130, market and profit forecast: Quantify the difference in pre- and post-application income and discount, and determine whether it covers the R&D expenditure estimate; S140, capitalization condition threshold verification: Verify the four capitalization requirements with logical gates to determine whether to enter the development stage.

3. The method for managing data asset entry into a table according to claim 1, wherein, In data information, the following steps are included: S210, directory modeling and classification: Establish data asset directory, complete subject / theme / business classification and permission / version control; S220, information element registration and field completeness: Register source, type, structure, size, update, standard, quality elements, and calculate completeness; S230, inventory plan execution and consistency check: Develop and implement inventory plan, calculate directory and asset consistency error rate; S240, change trigger, review and release: Establish trigger conditions, complete integrity / necessity / conformance / influence scope / rights review and release change notice and directory update.

4. The method for managing data asset entry into a table according to claim 1, wherein, In compliance and rights, the following steps are included: S310, enterprise perspective compliance diagnosis: Risk scoring based on enterprise basic information, qualification, whole-process compliance diagnosis, storage obligation, penalty and claim situation; S320, Project Perspective Compliance Diagnosis: Covering internal generation / purchase / outsourcing / APP information processing / cross-border / facial recognition / platform attribute dimensions to score risks and form rectification plans; S330, Ownership Proof Collection and Review: Collecting data intellectual property registration, data asset registration, data product registration, notarization, and evidence of comprehensive registration of elements to complete ownership review; S340, Compliance Rectification Closed Loop and Residual Risk: Implementing rectification and measuring residual risk.

5. The method for managing data asset entry into a table according to claim 1, wherein, In internal control management, the following steps are included: S410, Internal Control Design and Approval Collection: Upload organization, system, process, and approval evidence to form internal control design compliance degree; S420, Internal Control Operation Monitoring and Non-compliance: Record operation non-compliance and rectification materials, and calculate non-compliance rate; S430, Internal Control Execution View and Compliance Degree: Aggregate execution view and output compliance degree.

6. The method for managing data asset entry into a table according to claim 1, wherein, In quality and safety, the following steps are included: S510, Quality Standard Configuration and Scene Weight: Configure scene weight and calculate data quality score; S520, Source Governance and One Data One Source: Establish main data and source standard, eliminate conflicts, and form conflict rate; S530, Detection and Evaluation and Defect Density: Perform automated rules and manual sampling, and calculate defect density; S540, Safety Classification and Compliance Evaluation: Complete data security classification, etc. evaluation, classification and risk assessment, and output security risk index.

7. The method for managing data asset entry into a table according to claim 1, wherein, In project budget, the following steps are included: S610, Budget Report Preparation and Approval: Generate budget report and upload decision and approval evidence; The budget report includes cost classification, sub-item budget, funding sources, and risk control; S620, Sub-item Budget Entry: Enter developer costs, intangible asset amortization, fixed asset depreciation, other internal costs, and external costs, and aggregate total budget; S630, Budget Deviation Monitoring and Review: Calculate deviation rate and trigger review and adjustment on a regular basis.

8. The method for managing data asset entry into a table according to claim 1, wherein, In cost management, the following steps are included: S710, Research and Development Phase Definition: Clearly define the start date and phase division of the development phase, and count research phase expenditures as current period profit or loss. Capitalization is only possible if the development phase meets the capitalization conditions; S720, Initial Measurement and Cost Collection: Collect internal and external costs to form initial costs; S730, Product Acceptance and Amortization Method Confirmation: Accept products after they are formed, determine amortization methods and residual value, and upload acceptance evidence; S740, Subsequent Measurement: Amortization and impairment testing: Perform linear amortization and impairment testing; S750, Termination Confirmation and Disposal: Terminate confirmation when sold / donated / cannot bring economic benefits, and calculate disposal profit or loss; In information disclosure, the following steps are included: S810, Reportable Scope Mapping Settings: Add "data resources" under "inventory / intangible assets / development expenditure" in the balance sheet and specify mapping rules; If for sale, it is inventory; if for internal use and ownership is not transferred, it is intangible assets; if the development phase meets the capitalization conditions, it is development expenditure; S820, report note draft generation: generate data resource holding purposes, formation methods, business models, and economic benefit consumption methods disclosure drafts and collect credentials; S830, disclosure consistency verification: verify column report consistency with underlying credentials to form consistency ratios.

9. The method for managing data asset entry into a table according to claim 1, wherein, In value assessment, the following steps are included: S910, income method input preparation: determine the income period, expected income, discount rate, and sharing rate, and calculate the valuation; ； wherein, is the present value; is the expected return for the period; is the discount rate; is the number of years of return; S920, discount rate construction: use the risk-free interest rate plus risk return rate model; ； wherein, is the risk-free rate; is the risk premium for the risk dimension; is the number of risk dimensions; is the discount rate; S930, sharing rate model: when the income cannot be measured alone, use the sharing rate method to calculate the expected income of data asset contribution; ； wherein, is the split rate; is the incremental revenue from data assets in the period; is the monetization probability; is the expected revenue in the period; S940, AHP hierarchical analysis for weight: construct a judgment matrix, calculate the weight of the characteristic vector, and conduct consistency test; ； ； Consistency determination: Pass; wherein, is the pairwise comparison judgment matrix; is the normalized relative weight vector; is the largest eigenvalue; is the consistency index; is the consistency ratio; is the random consistency index; is the matrix order; S950, collection of external evaluation opinions: collect third-party evaluation opinions and method explanations if necessary.

10. A management system for data asset onboarding, the system comprising: The steps of the management method for data asset table entry according to any one of claims 1-9 are executed, including: Project approval and capitalization determination module: collect project information and approve, evaluate technical feasibility and economic benefit coverage, determine development access according to the four requirements of capitalization, and deposit project credential package; Data information directory and change management module: build a hierarchical data asset directory, register element measurement completeness, check consistency and correct according to threshold, standardize change review and release, and maintain account and version; Compliance verification module: conduct enterprise / project compliance diagnosis and risk scoring and rectification, collect and review ownership proof, measure residual risk, and form compliance and ownership credential package; Internal control management module: collect system process approval, calculate design compliance degree, monitor non-conformities and rectification, output execution view and compliance degree account, and drive continuous improvement; Quality and safety module: configure quality standards and scenario weight to generate quality score, promote master data governance to reduce conflict rate, organize detection and evaluation to measure defect density, complete safety classification and risk index output; Project budget module: prepare and approve budget report, input internal and external sub-items and total, monitor deviation and review and adjust according to period, and form budget credential account; Cost measurement and subsequent management module: define R&D / development and capitalization boundaries, collect costs to form initial measurement, product post-acceptance, confirmation, amortization and impairment, termination disposal and profit and loss calculation, and improve measurement account; Disclosure management module: set column report mapping to add "data resources", generate note draft and verify consistency and rectification, and ensure disclosure consistency with underlying credentials; Value assessment module: prepare income method and discount rate, estimate unmeasurable income using sharing rate method, calculate weight using AHP and perform consistency test, and collect third-party opinions if necessary; Income management module: input contracts / invoices / acceptances and associate with projects, confirm income by stage according to performance or acceptance, display realization rate and interface with report management to ensure consistency; Public parameter and threshold configuration module: centrally configure measurement thresholds and parameters and version, support weight library, parameter calibration and backtracking calibration, and unify standards, explainability and traceability; Indicator measurement and calculation engine: unified formula and caliber control, guarantee weight normalization, ratio range and denominator effectiveness, non-negative amount, provide batch recalculation, time point snapshot and task arrangement, support cross-module indicator consistency; Audit tracking and permission control module: full-link record collection / modification / approval, fine role permission and evidence version verification, support disclosure and compliance evidence review, meet regulatory audit requirements.

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