Novel energy system-oriented enterprise architecture risk assessment framework

Abstract

The invention relates to the technical field of enterprise architecture management, in particular to a novel energy system-oriented enterprise architecture risk assessment framework, which comprises the following steps: S1, collecting related data of an existing architecture, S2, collecting transformed architecture data, S3, acquiring risk data, S4, setting risk indexes, S5, identifying risks, S6, assessing the risks, S7, sorting risk priorities, and S8, taking risk control measures. The framework emphasizes the integrity and accuracy of data, a solid foundation is provided for risk assessment through detailed collection and arrangement of data of an existing framework and a transformed framework, quantitative assessment and qualitative assessment are combined in the risk assessment process, statistical data and a mathematical model are utilized, expert review and opinion collection are considered, and the risk assessment efficiency is improved. By comparing data before and after transformation, the framework is helpful for enterprises to find key points and difficult points in the transformation process, so that possible risk points can be foreseen in advance.

Description

Technical Field

[0001] The present invention relates to the technical field of enterprise architecture management, and in particular to an enterprise architecture risk assessment framework for new energy systems. Background Art

[0003] With the rapid development of my country's Digital China construction and new generation information technology, digital technology is reshaping my country's industrial production functions and promoting the emergence of new management models and organizational structures. Enterprise architecture, as the top-level design of enterprises, has also been subversively reshaped. A large number of new energy system enterprises are in the early stages of transformation and construction of modern enterprise architecture. They have not yet formed a modern enterprise architecture with strong versatility and guidance, and their risk assessment capabilities during the transformation process are relatively weak. Summary of the invention

[0004] 1. Technical issues to be solved

[0005] In view of the deficiencies of the prior art, the present invention provides an enterprise architecture risk assessment framework for new energy systems.

[0006] (II) Technical solution

[0007] To achieve the above purpose, the present invention provides the following technical solution: the present invention.

[0008] Preferably, the business architecture risk assessment includes:

[0009] The number of value streams, the direction of each activity of the enterprise-level value stream (traction activities, value-added activities, element activities and supporting activities), and the overlap of the business scope of professional-level value streams;

[0010] The granularity and non-repetitiveness of the company's business covered by each business domain, the consistency of the granularity of each level of catalog, the number of catalogs at each level corresponding to each value stream stage, the business process steps and the responsibilities of each position;

[0011] Business capability modularity, reusability, evaluability, independence, and stability;

[0012] Changes in business processes, changes in elements, standardization of elements, process effectiveness, and compliance.

[0013] Further preferably, the application architecture risk assessment includes:

[0014] The mapping of each layer of the application architecture (application domain (AD), application group (AG), primary application module (ABB), secondary application module (ABB), functional item) with the business architecture is taken over or re-divided;

[0015] Integration of application architectures at all levels within and across domains;

[0016] Application architecture technology route;

[0017] Application functions and business relationships;

[0018] Application system adaptability;

[0019] Reasonableness of application service design.

[0020] Again preferably, the data architecture risk assessment content includes:

[0021] Data asset catalog The data asset framework has clear division (L1-data domain, L2-data subject, L3-concept entity, L4-logical entity, L5-attribute);

[0022] Data standards and data catalog reusability;

[0023] Data model and logic model feasibility and availability;

[0024] Data security, data authentication, data release, and data integration reliability;

[0025] Undertake the mapping between data architecture, business architecture and application architecture.

[0026] Preferably, the technical architecture and security architecture risk assessment includes:

[0027] The technical architecture framework is clearly divided (L1 is the technical domain, L2 is the first-level technical classification, L3 is the second-level technical classification, L4 is the technical service, and L5 is the technical component);

[0028] The security architecture framework has clear division (L1-L4), including security domains (L1), security categories (L2), security services (L3), and security components (L4);

[0029] The corresponding supporting role of technical architecture and security architecture for other architectures.

[0030] Further preferably, the risk assessment also includes a general risk assessment, and the general risk assessment includes risks such as business model changes, management changes and legal changes.

[0031] Again preferably, the standard values ​​set for the risk indicators include:

[0032] Probability of risk occurrence: assess the likelihood of a risk occurring, usually expressed as a percentage;

[0033] Impact level: assess the impact of a risk on the enterprise after it occurs, which can be divided into three levels: low, medium and high;

[0034] Risk tolerance: An enterprise's tolerance for different risks, that is, the level of risk that the enterprise is willing to accept.

[0035] Preferably, the risk control measures include:

[0036] Technical improvement measures: Introduce new technical tools or platforms to improve the reliability and stability of the technical architecture;

[0037] Process optimization measures: simplify or restructure business processes to improve business efficiency and compliance;

[0038] Organizational structure adjustment: add risk management positions or departments to strengthen the organizational support for risk management;

[0039] Training and education: Improve employees' risk awareness and response capabilities, and conduct risk management and emergency drills regularly.

[0040] (III) Beneficial effects

[0041] Compared with the prior art, the present invention provides an enterprise architecture risk assessment framework for new energy systems, which has the following beneficial effects:

[0042] Comprehensiveness and systematicity:

[0043] The framework covers all key aspects of enterprise architecture, including business, application, data, technology and security architecture, ensuring a comprehensive risk assessment.

[0044] Through a systematic approach, each step, from data collection to risk control measures, is closely linked to form a complete risk assessment process.

[0045] Accuracy and reliability:

[0046] The framework emphasizes data completeness and accuracy, and provides a solid foundation for risk assessment by collecting and organizing data on existing and transformed architectures in detail.

[0047] The risk assessment process combines quantitative and qualitative assessments, utilizes statistical data and mathematical models, and takes into account expert review and opinion solicitation, thereby improving the accuracy and reliability of the assessment.

[0048] Foresight and predictability:

[0049] By comparing data before and after the transformation, the framework helps companies identify the key points and difficulties in the transformation process, thereby foreseeing possible risk points in advance.

[0050] Risk assessment not only focuses on the current status, but also takes into account future changes, such as common risks such as changes in business models, enhancing the company's foresight and response capabilities.

[0051] Optimize decision-making and resource allocation:

[0052] The risk assessment results provide enterprises with clear priority ranking, helping them to optimize the decision-making process and focus resources on the most critical risk points.

[0053] By identifying and controlling risks, enterprises can allocate resources more effectively, avoid unnecessary waste, and improve overall operational efficiency.

[0054] Promote architecture transformation and upgrade:

[0055] The framework not only focuses on risk assessment, but also provides risk control measures to help enterprises smoothly implement architectural transformation and upgrades.

[0056] By reducing the likelihood of risks occurring or mitigating their impact, the framework provides strong support for the continuous optimization and upgrading of enterprise architecture.

[0057] Improve compliance and security:

[0058] The framework pays special attention to compliance issues of business architecture and risk points of security architecture, helping enterprises improve their overall compliance and security levels.

[0059] By setting clear risk indicators and assessment criteria, the framework promotes the normalization and standardization of corporate compliance management and security management.

[0060] Enhance enterprise competitiveness:

[0061] Through comprehensive and accurate risk assessment and effective risk control measures, the framework helps enterprises reduce operating costs, improve operational efficiency, enhance compliance and security, and thus improve their overall competitiveness.

[0062] The implementation of the framework will also help companies establish a good risk management culture and lay a solid foundation for their long-term development.

[0063] In summary, an enterprise architecture risk assessment framework for new energy systems provides enterprises with a comprehensive, systematic and accurate risk assessment method, which helps enterprises optimize decision-making, optimize resource allocation, promote architecture transformation and upgrading, improve compliance and security, and ultimately enhance the competitiveness of enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 A flow chart for the operation of the risk assessment framework of the present invention;

[0065] Figure 2 A tree-like mind map of the risk assessment framework of the present invention; DETAILED DESCRIPTION

[0066] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0067] See also Figure 1-2 The enterprise architecture risk assessment framework for new energy systems of this invention aims to provide a systematic risk assessment method for enterprises during the transformation process, helping them to identify and assess the risks they may face during the transformation process, so as to take effective risk management measures to ensure the safety and smooth progress of the transformation. The following is the comprehensive working principle of the framework:

[0068] S1: Collect data related to the existing architecture

[0069] Purpose: Collect relevant data from the enterprise's existing architectures to ensure the integrity and accuracy of the data.

[0070] content:

[0071] Business architecture: existing business process diagram, business domain division, business capability modules, business process steps and job responsibilities.

[0072] Application architecture: list of existing application systems, application domain divisions, application groups, first-level application modules, second-level application modules and functional items.

[0073] Data architecture: existing data models, data asset catalogs, data standards, and data catalogs.

[0074] Technical architecture: existing technology stack, technology domain division, technology classification and technology components.

[0075] Security architecture: existing security policies, security domain divisions, security classifications, security services, and security components.

[0076] Methods: Data were collected through internal document review, interviews, and questionnaires, and then organized and classified.

[0077] S2: Data collection after transformation

[0078] Purpose: According to the enterprise's transformation plan, collect relevant data on each architecture after transformation and identify the parts that may change during the transformation process.

[0079] content:

[0080] Business architecture: business process diagram after transformation, new business domain division, new business capability module, new business process steps and job responsibilities.

[0081] Application architecture: planning of the transformed application system, new application domain division, new application groups, new application modules and functional items.

[0082] Data architecture: transformed data model, new data asset catalog, new data standards, and new data catalog.

[0083] Technical architecture: transformed technology stack, new technology domain division, new technology classification and technology components.

[0084] Security architecture: transformed security strategy, new security domain division, new security classification, new security services and security components.

[0085] Methods: Data was collected through transformation plan documents, design drawings, project plans, etc., and compared and analyzed with existing architecture data.

[0086] S3: Risk Data Acquisition

[0087] Purpose: To obtain risk assessment data related to enterprise architecture transformation through various channels.

[0088] content:

[0089] Historical data: the company’s past transformation experience and historical failure records.

[0090] Industry standards: best practices and standard specifications within the industry.

[0091] Expert review: Invite industry experts to conduct reviews and provide professional opinions and suggestions.

[0092] Literature: Consult relevant academic papers and research reports.

[0093] Methods: Data were obtained through internal database query, industry report review, expert interviews, and literature search.

[0094] S4: Risk indicator setting

[0095] Purpose: To establish preset standard values ​​based on the risk assessment data obtained.

[0096] content:

[0097] Probability of risk occurrence: An assessment of the likelihood of a risk occurring, usually expressed as a percentage.

[0098] Impact level: Assess the impact of a risk on the enterprise after it occurs, which can be divided into three levels: low, medium and high.

[0099] Risk tolerance: An enterprise's tolerance for different risks, that is, the level of risk that the enterprise is willing to accept.

[0100] Method: Combine historical data, industry standards and expert opinions to set reasonable risk assessment standard values.

[0101] S5: Risk Identification

[0102] Purpose: To identify possible risk points in the transformation process by comparing data before and after the transformation and risk assessment data.

[0103] content:

[0104] Business architecture risks: business process changes, insufficient business capability modularity, and business process compliance issues.

[0105] Application architecture risks: poor application system adaptability, unreasonable application service design, and insufficient application architecture integration.

[0106] Data architecture risks: incomplete data model, inconsistent data standards, and data security issues.

[0107] Technical architecture risks: improper technology stack selection, immature technical components, and unclear technical architecture.

[0108] Security architecture risks: incomplete security policies, unreasonable security domain division, and unreliable security components.

[0109] General risks: risks such as changes in business model, management changes and legal changes.

[0110] Methods: Specific potential risk points were identified through data analysis, expert review and team discussion.

[0111] S6: Risk Assessment

[0112] Purpose: To assess the probability and impact of each risk based on the preset standard values ​​and the frequency of occurrence of each architecture implementation issue.

[0113] content:

[0114] Quantitative assessment: Use statistical data and mathematical models to calculate the probability and impact of risks.

[0115] Qualitative assessment: A subjective assessment of risk is conducted through expert review and opinion solicitation.

[0116] Methods: Combining quantitative and qualitative assessment methods, the probability of occurrence and impact of each risk are comprehensively assessed.

[0117] S7: Risk Prioritization

[0118] Purpose: To prioritize identified risk points based on the probability of occurrence and impact.

[0119] Content: Prioritize risk points with high probability of occurrence and great impact.

[0120] Methods: Risk points are prioritized through matrix analysis, scoring method and other methods.

[0121] S8: Risk Control Measures

[0122] Purpose: To identify and set up corresponding safety measures to implement risk control measures for key risk points, so as to reduce the possibility of risk occurrence or mitigate its impact.

[0123] content:

[0124] Technical improvement measures: Introduce new technical tools or platforms to improve the reliability and stability of the technical architecture.

[0125] Process optimization measures: Simplify or restructure business processes to improve business efficiency and compliance.

[0126] Organizational structure adjustment: add risk management positions or departments to strengthen the organizational support for risk management.

[0127] Training and education: Improve employees' risk awareness and response capabilities, and conduct risk management and emergency drills regularly.

[0128] Methods: Implement risk control measures through project management, technological transformation, process optimization, personnel training and other means.

[0129] How the Optimal Technology Solution Works

[0130] Business architecture risk assessment content

[0131] Value stream assessment: assess the number of value streams, the direction of each activity in the enterprise-level value stream (traction activities, value-added activities, element activities and supporting activities), and the overlap of business scope of professional-level value streams.

[0132] Business domain assessment: Assess the granularity of each business domain in covering the company's business, non-repetitiveness, consistency of granularity of each level of directory, the number of directories at each level corresponding to each value stream stage, business process steps and job responsibilities.

[0133] Business capability assessment: Assess the modularity, reusability, evaluability, independence, and stability of business capabilities.

[0134] Business process assessment: assess changes in business processes, changes in elements, standardization of elements, effectiveness and compliance of processes.

[0135] Application architecture risk assessment content

[0136] Mapping succession assessment: Evaluate the mapping succession or re-division of each layer of the application architecture (application domain (AD), application group (AG), primary application module (ABB), secondary application module (ABB), functional item) and the business architecture.

[0137] Integration assessment: Evaluate the integration of each level of application architecture within and across domains.

[0138] Technology route assessment: Evaluate the technology route of the application architecture.

[0139] Adaptability and rationality assessment: Evaluate the adaptability of the application system and the rationality of the application service design.

[0140] Data architecture risk assessment content

[0141] Data asset catalog assessment: Evaluate the clarity of the data asset framework division of the data asset catalog (L1-data domain, L2-data subject, L3-conceptual entity, L4-logical entity, L5-attribute).

[0142] Data standards and catalog evaluation: Evaluate the reusability of data standards and data catalogs.

[0143] Data model assessment: Evaluate the feasibility and usability of data models and logical models.

[0144] Data security assessment: assess the reliability of data security, data authentication, data release, and data integration.

[0145] Mapping and inheritance assessment: Evaluate the mapping and inheritance between data architecture, business architecture, and application architecture.

[0146] Technical architecture and security architecture risk assessment content

[0147] Technical architecture framework assessment: Assess the clarity of the technical architecture framework division (L1 is the technical domain, L2 is the first-level technical classification, L3 is the second-level technical classification, L4 is the technical service, and L5 is the technical component).

[0148] Security architecture framework assessment: Assess the clarity of the security architecture framework (L1-L4), including security domains (L1), security categories (L2), security services (L3), and security components (L4).

[0149] Support role assessment: Evaluate the corresponding support role of technical architecture and security architecture to other architectures.

[0150] General risk assessment content

[0151] Assessment of business model changes: Assess the risks brought about by changes in business models.

[0152] Management change assessment: Assess the risks associated with management changes.

[0153] Legal change assessment: Assess the risks posed by legal changes.

[0154] Standard values ​​for setting risk indicators

[0155] Probability of risk occurrence: An assessment of the likelihood of a risk occurring, usually expressed as a percentage.

[0156] Impact level: Assess the impact of a risk on the enterprise after it occurs, which can be divided into three levels: low, medium and high.

[0157] Risk tolerance: An enterprise's tolerance for different risks, that is, the level of risk that the enterprise is willing to accept.

[0158] Risk Control Measures

[0159] Technical improvement measures: Introduce new technical tools or platforms to improve the reliability and stability of the technical architecture.

[0160] Process optimization measures: Simplify or restructure business processes to improve business efficiency and compliance.

[0161] Organizational structure adjustment: add risk management positions or departments to strengthen the organizational support for risk management.

[0162] Training and education: Improve employees' risk awareness and response capabilities, and conduct risk management and emergency drills regularly.

[0163] Through the above-mentioned comprehensive working principles and optimal technical solutions, the enterprise architecture risk assessment framework for new energy systems of the present invention can comprehensively identify and assess the risks that enterprises may face during the transformation process, guide enterprises to take effective risk management measures, and ensure the safety and smooth progress of the transformation process.

[0164] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An enterprise architecture risk assessment framework for new energy systems, characterized by: The following steps are involved: S1. Collect data related to the existing architecture. Collect relevant data from the existing architectures of the enterprise, organize and classify the collected data to ensure the integrity and accuracy of the data, and include the following relevant data: Business architecture: existing business process diagram, business domain division, business capability modules, business process steps and job responsibilities; Application architecture: list of existing application systems, application domain division, application groups, primary application modules, secondary application modules and functional items; Data architecture: existing data models, data asset catalogs, data standards, and data catalogs; Technical architecture: existing technology stack, technology domain division, technology classification and technology components; Security architecture: existing security policies, security domain divisions, security classifications, security services, and security components; S2. Collect data on the architecture after transformation. According to the enterprise's transformation plan, collect relevant data on each architecture after transformation, compare the data before and after transformation, and identify the parts that may change during the transformation process. This step helps to discover the key points and difficulties of the transformation, and provides a basis for subsequent risk assessment. It includes the following relevant data: Business architecture: business process diagram after transformation, new business domain division, new business capability module, new business process steps and job responsibilities; Application architecture: planning of the transformed application system, new application domain division, new application groups, new application modules and functional items; Data architecture: transformed data model, new data asset catalog, new data standards, new data catalog; Technical architecture: the transformed technology stack, new technology domain division, new technology classification and technology components; Security architecture: Transformed security strategy, new security domain division, new security classification, new security services and security components; S3. Risk data acquisition: Obtain risk assessment data related to enterprise architecture transformation through various channels, including the following data: Historical data: the company’s past transformation experience and historical failure records; Industry standards: best practices and standard specifications within the industry; Expert review: Invite industry experts to conduct reviews and provide professional opinions and suggestions; Literature: Consult relevant academic papers and research reports; S4. Risk indicator setting: Establish preset standard values ​​based on the acquired risk assessment data; S5. Risk identification: Based on the data comparison before and after the transformation and the risk assessment data, identify the possible risk points in the transformation process. The risk points include: Business architecture risks: business process changes, insufficient business capability modularity, and business process compliance issues; Application architecture risks: poor adaptability of application systems, unreasonable application service design, and insufficient integration of application architecture; Data architecture risks: incomplete data model, inconsistent data standards, and data security issues; Technical architecture risks: improper technology stack selection, immature technical components, and unclear technical architecture; Security architecture risks: incomplete security policies, unreasonable security domain division, and unreliable security components; S6. Risk assessment: Based on the preset standard values ​​and the frequency of occurrence of various architecture implementation issues, the probability and impact of each risk are assessed. This step uses quantitative and qualitative assessments: Quantitative assessment: using statistical data and mathematical models to calculate the probability and impact of risks; Qualitative assessment: subjective assessment of risk through expert review and opinion solicitation; S7. Risk Prioritization: Prioritize the identified risk points according to the probability of risk occurrence and the degree of impact, and give priority to those risk points with high probability of occurrence and large impact; S8. Risk control measures: For key risk points, determine and set up corresponding safety measures to implement risk control measures to reduce the possibility of risk occurrence or mitigate its impact.

2. According to claim 1, an enterprise architecture risk assessment framework for new energy systems is characterized in that: The business architecture risk assessment includes: The number of value streams, the direction of each activity of the enterprise-level value stream (traction activities, value-added activities, element activities and supporting activities), and the overlap of the business scope of professional-level value streams; The granularity and non-repetitiveness of the company's business covered by each business domain, the consistency of the granularity of each level of catalog, the number of catalogs at each level corresponding to each value stream stage, the business process steps and the responsibilities of each position; Business capability modularity, reusability, evaluability, independence, and stability; Changes in business processes, changes in elements, standardization of elements, process effectiveness, and compliance.

3. According to claim 2, an enterprise architecture risk assessment framework for new energy systems is characterized in that: The application architecture risk assessment includes: The mapping of each layer of the application architecture (application domain (AD), application group (AG), primary application module (ABB), secondary application module (ABB), functional item) with the business architecture is taken over or re-divided; Integration of application architectures at all levels within and across domains; Application architecture technology route; Application functions and business relationships; Application system adaptability; Reasonableness of application service design.

4. According to claim 3, an enterprise architecture risk assessment framework for new energy systems is characterized in that: The data architecture risk assessment includes: Data asset catalog The data asset framework has clear division (L1-data domain, L2-data subject, L3-concept entity, L4-logical entity, L5-attribute); Data standards and data catalog reusability; Data model and logic model feasibility and availability; Data security, data authentication, data release, and data integration reliability; Undertake the mapping between data architecture, business architecture and application architecture.

5. According to claim 4, an enterprise architecture risk assessment framework for new energy systems is characterized in that: The technical architecture and security architecture risk assessment includes: The technical architecture framework is clearly divided (L1 is the technical domain, L2 is the first-level technical classification, L3 is the second-level technical classification, L4 is the technical service, and L5 is the technical component); The security architecture framework has clear division (L1-L4), including security domains (L1), security categories (L2), security services (L3), and security components (L4); The corresponding supporting role of technical architecture and security architecture for other architectures.

6. According to claim 5, an enterprise architecture risk assessment framework for new energy systems is characterized in that: The risk assessment also includes a general risk assessment, and the general risk assessment includes risks such as business model changes, management changes and legal changes.

7. The enterprise architecture risk assessment framework for new energy systems according to claim 6 is characterized in that: The standard values ​​set for the risk indicators include: Probability of risk occurrence: assess the likelihood of a risk occurring, usually expressed as a percentage; Impact level: assess the impact of a risk on the enterprise after it occurs, which can be divided into three levels: low, medium and high; Risk tolerance: An enterprise's tolerance for different risks, that is, the level of risk that the enterprise is willing to accept.

8. The enterprise architecture risk assessment framework for new energy systems according to claim 7 is characterized in that: The risk control measures include: Technical improvement measures: Introduce new technical tools or platforms to improve the reliability and stability of the technical architecture; Process optimization measures: simplify or restructure business processes to improve business efficiency and compliance; Organizational structure adjustment: add risk management positions or departments to strengthen the organizational support for risk management; Training and education: Improve employees' risk awareness and response capabilities, and conduct risk management and emergency drills regularly.

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