Implementation method for quickly forming digital conversion of internal systems of enterprises

Abstract

The invention relates to the technical field of management information, in particular to an implementation method for quickly forming digital conversion of internal systems of an enterprise. The method comprises the following steps: S1, taking a business activity as a management and control object, and setting a management and control rule; s2, setting a target value of a management and control object according to the management and control rule, and setting a method for checking whether a threshold value is exceeded or not through a decision table tool; s3, calculating and comparing the exceeding degree of the target and the applicable result level of the corresponding degree, setting responsibility organization and processing measures of corresponding processing, and performing deviation judgment; and S4, according to the effect of the correction action, defining an effect feedback mechanism after execution of the management and control measures of the monitoring service point, evaluating the execution effect of the processing measures, and judging whether the management and control measures need to be continuously executed, closed or strengthened. Management services of enterprise management software are extracted from system codes and replaced with universal modules, programming is not needed, the code difficulty is reduced, and the delivery speed is increased.

Description

Technical Field

[0001] The present invention relates to the field of management information technology, and in particular to a method for realizing rapid digital conversion of internal enterprise systems. Background Art

[0002] Enterprises have formulated many management rules and regulations for production processes, business and office processes to manage and control various production and office activities. In the process of developing management information systems, these management systems need to be digitized through coding development, and these systems often need to be adjusted, and the corresponding information systems must respond quickly to changes. This method designs a general model, simulates the conversion of rules in the information system, and develops a configuration system for the corresponding model. It can achieve management and control of various production and business functions without writing code, only configuring in the system, and allowing management conditions to be adjusted independently based on open functions to meet changes in various management and control rules of the enterprise, greatly saving digital costs and improving response efficiency.

[0003] In the existing implementation methods of quickly converting internal enterprise systems into digital ones, if you want to achieve business control, you need to write code for each control system separately, and once the corresponding control rules and conditions change, you need to modify the program to meet the changes, which takes a long time and is costly. Generally, for each management measure, it is coded in the code corresponding to the business point that needs to be managed, and the management method is hard-coded in the corresponding place that needs to be managed, and the relevant code is adjusted when the corresponding change occurs.

[0004] There are similar implementation solutions that only provide the underlying rule engine to assist in coding implementation, that is, to meet the needs from a programming perspective. Unlike this solution, there is no clear division of business models, and no functional divisions such as identifying targets, defining rules, defining checkpoints, judging results, fixing processing actions, and monitoring execution effects from the business level. It is only a technical-level coding implementation logic that cannot be used by non-technical personnel or even customers, and cannot achieve business-oriented use effects, and can only rely on technical coding implementation. In summary, it provides a method for quickly digitalizing the internal system of an enterprise. Summary of the invention

[0005] The purpose of the present invention is to provide a method for realizing the rapid digital transformation of the internal system of an enterprise, so as to solve the problem proposed in the above background technology that in the existing method for realizing the rapid digital transformation of the internal system of an enterprise, if the business management and control is to be realized, it is necessary to write a separate code for each management and control system, and once the corresponding management and control rule conditions change, it is necessary to modify the program to meet the changes, which is time-consuming and costly. Generally, for each management measure, it is coded in the code corresponding to the business point that needs to be managed, and the management method is hard-coded to the corresponding place that needs to be managed, and the relevant code is adjusted when the corresponding change occurs.

[0006] There are similar implementation solutions that only provide the underlying rule engine to assist in coding implementation, that is, to meet the needs from a programming perspective. Unlike this solution, there is no clear division of business models, and no functional divisions such as identifying targets, defining rules, defining checkpoints, judging results, fixing processing actions, and monitoring execution effects from the business level. It is only a technical-level coding implementation logic that cannot be used by non-technical personnel or even customers, and cannot achieve business-oriented usage effects, and can only rely on technical coding implementation issues.

[0007] To achieve the above object, the present invention provides a method for quickly converting the internal system of an enterprise into digital form, comprising the following steps:

[0008] S1. Take business activities as the object of control and set control rules;

[0009] S2. Set the target value of the control object according to the control rules, and set the method of checking whether the threshold is exceeded through the decision table tool;

[0010] S3. By calculating the degree of excess of the comparison target and the applicable result level of the corresponding degree, the responsible organization and treatment measures for corresponding treatment are set to make deviation judgment;

[0011] S4. Based on the effectiveness of the corrective actions, define a feedback mechanism for the effects of the control measures implemented at the monitoring business points, evaluate the effectiveness of the implementation of the treatment measures, and determine whether it is necessary to continue to implement, close or strengthen the control measures.

[0012] As a further improvement of the technical solution, in S1, the specific steps of taking business activities as the control object and setting the control rules are as follows:

[0013] S1.1. Configure the business function points to be managed by the control measures and set the control rules, that is, monitor the indicator data of the corresponding business functions and under what conditions will the management measures be enabled;

[0014] Among them, business function points include processes, activities, and procedures;

[0015] S1.2. Open the selection of function points according to the above control rules and freely configure the management business;

[0016] S1.3. Provide a decision table tool, and freely adjust the conditions for enabling control rules according to various parameters in the business, so as to enable different management measures for different business processes, and adopt different management systems for different organizations and business scenarios;

[0017] Among them, various parameters in the business include the number of contract lists and labor guidance prices.

[0018] As a further improvement of the technical solution, in S2, the target value of the control object is set according to the control rule, and the specific steps involved in setting the method of checking whether the threshold is exceeded by the decision table tool are:

[0019] S2.1. According to the control rules, the conditions for management intervention are abstracted into specific indicator numbers to achieve freely definable indicator values;

[0020] S2.2. Set the specific number to be controlled and adjust it at any time according to the control rules;

[0021] S2.3. For each monitored business activity, determine whether control intervention is required and make a judgment on the current status;

[0022] S2.4, according to the judgment indicator value of the state of the business activity during business processing, the target progress defined by the indicator value intervention is compared to determine whether the system needs intervention;

[0023] S2.5. Provide a decision table tool to define the key indicators of management business and the calculation method of this threshold indicator check, and pre-extract the data that is often involved in the calculation as optional parameters to facilitate non-technical personnel to use the calculation formula to determine whether the current business activities deviate from expectations and whether management is needed;

[0024] Among them, key business indicators include actual profit margin, total sales revenue of current business activities, total cost expenditure of current business activities, expected profit margin, customer satisfaction and product defect rate;

[0025] S2.6. By abstracting the unstructured business and management intervention judgment methods into structured indicators and calculation formulas, and providing functions suitable for non-technical personnel for configuration, it is used to reduce the process that requires coding, and the adjustment of business monitoring methods is flexible and convenient.

[0026] As a further improvement of the technical solution, in S2.5, the calculation formula is specifically compiled as follows:

[0027] Actual profit margin:

[0028]

[0029] Among them, P represents the actual profit rate; S represents the total sales revenue of the current business activities; C represents the total cost expenditure of the current business activities;

[0030] Determine whether it deviates from expectations:

[0031] If the actual profit margin is lower than the target profit margin minus the threshold T α , it means that the business activities deviate from expectations;

[0032] P <G-T α

[0033] If customer satisfaction is lower than the threshold T β , it means that the business activities deviate from expectations;

[0034] CS <T β

[0035] If the product defect rate exceeds the threshold T γ , it means that the business activities deviate from expectations;

[0036] D>T γ

[0037] Among them, G represents the expected profit margin; CS represents customer satisfaction; D represents product defect rate; T α represents the profit rate threshold; T β Indicates the threshold of customer satisfaction; T γ Indicates the threshold value of the product defect rate.

[0038] As a further improvement of the technical solution, in S3, the specific process of performing deviation judgment is:

[0039] S3.1. Determine the degree to which the comparison target is exceeded and the result level applicable to the corresponding deviation;

[0040] S3.2. Predefine the level of deviation results, and automatically determine the severity of target deviation based on the business key indicators of the control object and the degree of deviation from the control target;

[0041] S3.3. Define the responsible agency for handling the deviation and take corrective actions or the degree of intervention of the current management business function according to the level of deviation results;

[0042] S3.4. By reducing programming work to meet different deviation levels, the relevant result judgment standards provide automatic judgment methods.

[0043] As a further improvement of the technical solution, in S3.2, the deviation level and its corresponding range are defined as follows:

[0044] Deviation value:

[0045] ΔP=|PG|

[0046] ΔCS=|CS-T β |

[0047] ΔD=|DT γ |

[0048] Among them, ΔP represents the deviation value of profit margin; ΔCS represents the deviation value of customer satisfaction; ΔD represents the deviation value of product defect rate;

[0049] Deviation level:

[0050] Slight deviation: 0<ΔP≤2%, 0<ΔCS≤5%, 0<ΔD≤0.5%;

[0051] Moderate deviation: 2% < ΔP ≤ 5%, 5% < ΔCS ≤ 10%, 0.5% < ΔD ≤ 1%;

[0052] Severe deviation: ΔP>5%, ΔCS>10%, ΔD>1%;

[0053] As a further improvement of this technical solution, in S3.3, the responsible agency, corrective action and degree of intervention are specifically as follows:

[0054] Definition of responsible institution:

[0055] When there are minor deviations, the frontline team is responsible;

[0056] Management is responsible when there are moderate deviations;

[0057] Senior management is held accountable when there are serious deviations;

[0058] Intervention Level Definition:

[0059] Send warnings when there are slight deviations;

[0060] Increase resources when there is moderate deviation;

[0061] Suspend services and initiate emergency meetings when serious deviations occur;

[0062] Corrective action:

[0063] If the deviation level = minor deviation, send a warning to the frontline team;

[0064] If Deviation Level = Moderate Deviation, increase resources and notify management;

[0065] If the deviation level = severe deviation, the service will be suspended and senior management will be notified to hold an emergency meeting.

[0066] As a further improvement of the technical solution, in S4, according to the effect of the corrective action, a feedback mechanism for the effect of the control measures after the execution of the monitoring business point is defined to evaluate the execution effect of the treatment measures and determine whether it is necessary to continue to execute, close or strengthen the control measures. Specifically:

[0067] S4.1. Based on the corrective action, it is necessary to define the effect of monitoring the business point after control, including the indicator execution status and intervention status, and provide feedback using a common information format;

[0068] S4.2. Based on the effectiveness of implementation, determine whether it is necessary to continue to implement, close or strengthen the control measures to meet the changing control intensity and form a scientific control closed loop.

[0069] As a further improvement of this technical solution, in S4.2, the control measures are specifically:

[0070] Implementation effect evaluation:

[0071] If the deviation level = slight deviation, and 0<ΔP≤2%, 0<ΔCS≤5%, 0<ΔD≤0.5%, the measure is effective;

[0072] If the deviation level = moderate deviation, and 2% < ΔP ≤ 5%, 5% < ΔCS ≤ 10%, 0.5% < ΔD ≤ 1%, then the measure is effective;

[0073] If the deviation level = severe deviation, and ΔP>5%, ΔCS>10%, ΔD>1%, the measures are ineffective;

[0074] Modification of interventions:

[0075] If measures are effective, maintain current interventions;

[0076] if measures are ineffective, then interventions are stepped up;

[0077] Closed-loop management:

[0078] If the measures are effective, maintain the status quo;

[0079] If measures are ineffective, strengthen interventions and reassess.

[0080] Compared with the prior art, the present invention has the following beneficial effects:

[0081] 1. In the implementation method of quickly digitally transforming the internal systems of an enterprise, the management business of the enterprise management software is extracted from the system code and replaced with a general module, without the need for programming, which reduces the difficulty of coding and speeds up delivery.

[0082] 2. In the implementation method of quickly converting the internal system of the enterprise into digital form, by dynamically adapting the control measures for different business processes and organizational forms, one model can meet different business, different organizations, and different control requirements. The points and conditions that need to be changed are extracted and encapsulated into a configuration tool that non-programmers can master. The control indicators are adjusted independently, and appropriate control measures are matched according to the target deviation, reducing the cost of trial and error and accelerating the ability to respond to needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] Figure 1 The figure is a flow chart of the overall method of the present invention. DETAILED DESCRIPTION

[0084] 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.

[0085] Example:

[0086] See also Figure 1 As shown, this embodiment provides a method for quickly converting the internal system of an enterprise into digital form, including the following steps:

[0087] S1. Take business activities as the object of control and set control rules;

[0088] In this example, the business activities are taken as the control objects, and the specific steps involved in setting the control rules are as follows:

[0089] S1.1. Configure the business function points to be managed by the control measures and set the control rules, that is, monitor the indicator data of the corresponding business functions and under what conditions will the management measures be enabled;

[0090] Among them, business function points include processes, activities, and procedures;

[0091] S1.2. Open the selection of function points according to the above control rules and freely configure the management business;

[0092] S1.3. Provide decision table tools and freely adjust the conditions for enabling control rules according to various parameters in the business, so as to enable different management measures for different business processes, and adopt different management systems for different organizations and business scenarios;

[0093] Among them, various parameters in the business include the number of contract lists and labor guidance prices.

[0094] S2. Set the target value of the control object according to the control rules, and set the method of checking whether the threshold is exceeded through the decision table tool;

[0095] In this example, the specific steps involved in setting the target value of the control object according to the control rules and setting the method of checking whether the threshold is exceeded through the decision table tool are as follows:

[0096] S2.1. According to the control rules, the conditions for management intervention are abstracted into specific indicator numbers to achieve freely definable indicator values;

[0097] S2.2. Set the specific number to be controlled and adjust it at any time according to the control rules;

[0098] S2.3. For each monitored business activity, determine whether control intervention is required and make a judgment on the current status;

[0099] S2.4, according to the judgment indicator value of the state of the business activity during business processing, the target progress defined by the indicator value intervention is compared to determine whether the system needs intervention;

[0100] S2.5. Provide a decision table tool to define the key indicators of management business and the calculation method of this threshold indicator check, and pre-extract the data that is often involved in the calculation as optional parameters to facilitate non-technical personnel to use the calculation formula to determine whether the current business activities deviate from expectations and whether management is needed;

[0101] Among them, key business indicators include actual profit margin, total sales revenue of current business activities, total cost expenditure of current business activities, expected profit margin, customer satisfaction and product defect rate;

[0102] In this example, the calculation formula is as follows:

[0103] Actual profit margin:

[0104]

[0105] Among them, P represents the actual profit rate; S represents the total sales revenue of the current business activities; C represents the total cost expenditure of the current business activities;

[0106] Determine whether it deviates from expectations:

[0107] If the actual profit margin is lower than the target profit margin minus the threshold T α , it means that the business activities deviate from expectations;

[0108] P <G-T α

[0109] If customer satisfaction is lower than the threshold T β, it means that the business activities deviate from expectations;

[0110] CS <T β

[0111] If the product defect rate exceeds the threshold T γ , it means that the business activities deviate from expectations;

[0112] D>T γ

[0113] Among them, G represents the expected profit margin; CS represents customer satisfaction; D represents product defect rate; T α represents the profit rate threshold; T β Indicates the threshold of customer satisfaction; T γ Indicates the threshold value of the product defect rate.

[0114] S2.6. By abstracting the unstructured business and management intervention judgment methods into structured indicators and calculation formulas, and providing functions suitable for non-technical personnel for configuration, it is used to reduce the process that requires coding, and the adjustment of business monitoring methods is flexible and convenient.

[0115] S3. By calculating the degree of excess of the comparison target and the applicable result level of the corresponding degree, the responsible organization and treatment measures for corresponding treatment are set to make deviation judgment;

[0116] In this example, the specific process of performing deviation judgment is as follows:

[0117] S3.1. Determine the degree to which the comparison target is exceeded and the result level applicable to the corresponding deviation;

[0118] S3.2. Predefine the level of deviation results, and automatically determine the severity of target deviation based on the business key indicators of the control object and the degree of deviation from the control target;

[0119] In this example, the deviation levels and their corresponding ranges are defined as follows:

[0120] Deviation value:

[0121] ΔP=|PG|

[0122] ΔCS=|CS-T β |

[0123] ΔD=|DT γ |

[0124] Among them, ΔP represents the deviation value of profit margin; ΔCS represents the deviation value of customer satisfaction; ΔD represents the deviation value of product defect rate;

[0125] Deviation level:

[0126] Slight deviation: 0<ΔP≤2%, 0<ΔCS≤5%, 0<ΔD≤0.5%;

[0127] Moderate deviation: 2% < ΔP ≤ 5%, 5% < ΔCS ≤ 10%, 0.5% < ΔD ≤ 1%;

[0128] Severe deviation: ΔP>5%, ΔCS>10%, ΔD>1%.

[0129] S3.3. Define the responsible agency for handling the deviation and take corrective actions or the degree of intervention of the current management business function according to the level of deviation results;

[0130] In this example, the responsible agencies, corrective actions, and levels of intervention are as follows:

[0131] Definition of responsible institution:

[0132] When there are minor deviations, the frontline team is responsible;

[0133] Management is responsible when there are moderate deviations;

[0134] Senior management is held accountable when there are serious deviations;

[0135] Intervention Level Definition:

[0136] Send warnings when there are slight deviations;

[0137] Increase resources when there is moderate deviation;

[0138] Suspend services and initiate emergency meetings when serious deviations occur;

[0139] Corrective action:

[0140] If the deviation level = minor deviation, send a warning to the frontline team;

[0141] If Deviation Level = Moderate Deviation, increase resources and notify management;

[0142] If the deviation level = severe deviation, the service will be suspended and senior management will be notified to hold an emergency meeting.

[0143] S3.4. By reducing programming work to meet different deviation levels, the relevant result judgment standards provide automatic judgment methods.

[0144] S4. Based on the effectiveness of the corrective actions, define a feedback mechanism for the effects of the control measures implemented at the monitoring business points, evaluate the effectiveness of the implementation of the treatment measures, and determine whether it is necessary to continue to implement, close or strengthen the control measures.

[0145] In this example, the execution effect of the treatment measure and the closing conditions of the treatment measure are as follows:

[0146] S4.1. Based on the corrective action, it is necessary to define the effect of monitoring the business point after control, including the indicator execution status and intervention status, and provide feedback using a common information format;

[0147] S4.2. Based on the effectiveness of implementation, determine whether it is necessary to continue to implement, close or strengthen the control measures to meet the changing control intensity and form a scientific control closed loop.

[0148] In this example, the control measures are as follows:

[0149] Implementation effect evaluation:

[0150] If the deviation level = slight deviation, and 0<ΔP≤2%, 0<ΔCS≤5%, 0<ΔD≤0.5%, the measure is effective;

[0151] If the deviation level = moderate deviation, and 2% < ΔP ≤ 5%, 5% < ΔCS ≤ 10%, 0.5% < ΔD ≤ 1%, then the measure is effective;

[0152] If the deviation level = severe deviation, and ΔP>5%, ΔCS>10%, ΔD>1%, the measures are ineffective;

[0153] Modification of interventions:

[0154] If measures are effective, maintain current interventions;

[0155] if measures are ineffective, then interventions are stepped up;

[0156] Closed-loop management:

[0157] If the measures are effective, maintain the status quo;

[0158] If measures are ineffective, strengthen interventions and reassess.

[0159] In the management process, we analyze various factors that often change, such as numbers, judgments of right and wrong, severity levels, and treatment methods, and abstract them to form corresponding adjustment functions or control tools, so that users who do not have programming skills can change relevant conditions on their own to cope with the adjustment of management rules caused by changes in time and space. Different methods and control strengths are required for different institutions, business types, and business scales; relevant measures will also be adjusted as time changes. These changes can be set up by the system without programming intervention.

[0160] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and the above embodiments and descriptions are only preferred examples of the present invention, and are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. A method for rapidly converting an enterprise's internal system into digital form, characterized in that: The following steps are involved: S1. Take business activities as the object of control and set control rules; S2. Set the target value of the control object according to the control rules, and set the method of checking whether the threshold is exceeded through the decision table tool; S3. By calculating the degree of excess of the comparison target and the applicable result level of the corresponding degree, the responsible organization and treatment measures for corresponding treatment are set to make deviation judgment; S4. Based on the effectiveness of the corrective actions, define a feedback mechanism for the effects of the control measures implemented at the monitoring business points, evaluate the effectiveness of the implementation of the treatment measures, and determine whether it is necessary to continue to implement, close or strengthen the control measures.

2. The method for rapidly converting an enterprise's internal system into digital form according to claim 1 is characterized in that: In S1, the specific steps of taking business activities as the control object and setting control rules are as follows: S1.

1. Configure the business function points to be managed by the control measures and set the control rules, that is, monitor the indicator data of the corresponding business functions and under what conditions will the management measures be enabled; Among them, business function points include processes, activities, and procedures; S1.

2. Open the selection of function points according to the above control rules and freely configure the management business; S1.

3. Provide decision table tools and freely adjust the conditions for enabling control rules according to various parameters in the business, so as to enable different management measures for different business processes, and adopt different management systems for different organizations and business scenarios; Among them, various parameters in the business include the number of contract lists and labor guidance prices.

3. The method for rapidly converting an enterprise's internal system into digital form according to claim 1 is characterized by: In S2, the target value of the control object is set according to the control rule, and the specific steps involved in setting the method of checking whether the threshold value is exceeded through the decision table tool are: S2.

1. According to the control rules, the conditions for management intervention are abstracted into specific indicator numbers to achieve freely definable indicator values; S2.

2. Set the specific number to be controlled and adjust it at any time according to the control rules; S2.

3. For each monitored business activity, determine whether control intervention is required and make a judgment on the current status; S2.4, according to the judgment indicator value of the state of the business activity during business processing, the target progress defined by the intervention of the indicator value is compared to determine whether the system needs intervention; S2.

5. Provide a decision table tool to define the key indicators of management business and the calculation method of this threshold indicator check, and pre-extract the data that is often involved in the calculation as optional parameters to facilitate non-technical personnel to use the calculation formula to determine whether the current business activities deviate from expectations and whether management is needed; Among them, key business indicators include actual profit margin, total sales revenue of current business activities, total cost expenditure of current business activities, expected profit margin, customer satisfaction and product defect rate; S2.

6. By abstracting the unstructured business and management intervention judgment methods into structured indicators and calculation formulas, and providing functions suitable for non-technical personnel for configuration, it is used to reduce the process that requires coding, and the adjustment of business monitoring methods is flexible and convenient.

4. The method for rapidly converting an enterprise's internal system into digital form according to claim 3 is characterized by: In S2.5, the calculation formula is as follows: Actual profit margin: Among them, P represents the actual profit rate; S represents the total sales revenue of the current business activities; C represents the total cost expenditure of the current business activities; Determine whether it deviates from expectations: If the actual profit margin is lower than the target profit margin minus the threshold T α , it means that the business activities deviate from expectations; P<G-T α If customer satisfaction is lower than the threshold T β , it means that the business activities deviate from expectations; CS<T β If the product defect rate exceeds the threshold T γ , it means that the business activities deviate from expectations; D>T γ Among them, G represents the expected profit margin; CS represents customer satisfaction; D represents product defect rate; T α represents the profit rate threshold; T β Indicates the threshold of customer satisfaction; T γ Indicates the threshold value of the product defect rate.

5. The method for rapidly converting an enterprise's internal system into digital form according to claim 4 is characterized by: In S3, the specific process of performing deviation judgment is as follows: S3.

1. Determine the degree to which the comparison target is exceeded and the result level applicable to the corresponding deviation; S3.

2. Predefine the level of deviation results, and automatically determine the severity of target deviation based on the business key indicators of the control object and the degree of deviation from the control target; S3.

3. Define the responsible agency for handling the deviation and take corrective actions or the degree of intervention of the current management business function according to the level of deviation results; S3.

4. By reducing programming work to meet different deviation levels, the relevant result judgment standards provide automatic judgment methods.

6. The method for rapidly converting the internal system of an enterprise into digital form according to claim 5 is characterized by: In S3.2, the deviation levels and their corresponding ranges are defined as follows: Deviation value: Δp=|PG| ΔCS=|CS-T β | ΔD=|D-T γ | Among them, ΔP represents the deviation value of profit margin; ΔCS represents the deviation value of customer satisfaction; ΔD represents the deviation value of product defect rate; Deviation level: Slight deviation: 0<ΔP≤2%, 0<ΔCS≤5%, 0<ΔD≤0.5%; Moderate deviation: 2% < ΔP ≤ 5%, 5% < ΔCS ≤ 10%, 0.5% < ΔD ≤ 1%; Severe deviation: ΔP>5%, ΔCS>10%, ΔD>1%.

7. The method for rapidly converting the internal system of an enterprise into digital form according to claim 6, characterized in that: In S3.3, the responsible agencies, corrective actions and intervention levels are as follows: Definition of responsible institution: When there are minor deviations, the frontline team is responsible; Management is responsible when there are moderate deviations; Senior management is held accountable when there are serious deviations; Intervention Level Definition: Send warnings when there are slight deviations; Increase resources when there is moderate deviation; Suspend services and initiate emergency meetings when serious deviations occur; Corrective action: If the deviation level = minor deviation, send a warning to the frontline team; If Deviation Level = Moderate Deviation, increase resources and notify management; If the deviation level = severe deviation, the service will be suspended and senior management will be notified to hold an emergency meeting.

8. The method for rapidly converting the internal system of an enterprise into digital form according to claim 7 is characterized by: In S4, based on the effect of the corrective action, a feedback mechanism for the effect of the control measures after the execution of the monitoring business point is defined to evaluate the execution effect of the treatment measures and determine whether the control measures need to be continued, closed or strengthened. Specifically: S4.

1. Based on the corrective action, it is necessary to define the effect of monitoring the business point after control, including the indicator execution status and intervention status, and provide feedback using a common information format; S4.

2. Based on the effectiveness of implementation, determine whether it is necessary to continue to implement, close or strengthen the control measures to meet the changing control intensity and form a scientific control closed loop.

9. The method for rapidly converting an enterprise's internal system into digital form according to claim 8 is characterized in that: In S4.2, the specific control measures are: Implementation effect evaluation: If the deviation level = slight deviation, and 0<ΔP≤2%, 0<ΔCS≤5%, 0<ΔD≤0.5%, the measure is effective; If the deviation level = moderate deviation, and 2% < ΔP ≤ 5%, 5% < ΔCS ≤ 10%, 0.5% < ΔD ≤ 1%, then the measure is effective; If the deviation level = severe deviation, and ΔP>5%, ΔCS>10%, ΔD>1%, the measures are ineffective; Modification of interventions: If measures are effective, maintain current interventions; if measures are ineffective, then interventions are stepped up; Closed-loop management: If the measures are effective, maintain the status quo; If measures are ineffective, strengthen interventions and reassess.

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