CN112418599B - Enterprise growth path planning method and system based on index set - Google Patents
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Abstract
The invention provides an enterprise growth path planning method and system based on an index set, which comprises the following steps: sequentially matching indexes according to the sequence of growth nodes in the enterprise growth plan; after obtaining all index item matching results defined by a growth node, calculating matching percentage according to a formula, comparing the matching percentage with the minimum satisfied percentage defined by the growth node, and judging that the enterprise conforms to the growth node if the matching percentage is more than or equal to the defined numerical value; and taking the last growth node which is in accordance with the growth node as the growth node where the enterprise is located at present, taking the first growth node which is not in accordance with the growth node as the next growth node of the enterprise, and determining the index which needs to be reached by the next growth node of the enterprise. And determining that the enterprise conforms to the declared policy, navigating indexes which need to be reached by the policy which is not satisfied by the enterprise, and helping the enterprise to improve market competitiveness.
Description
Technical Field
The invention relates to the technical field of enterprise evaluation, in particular to a method and a system for planning an enterprise growth path.
Background
With the coming of global information age, the high and new technology industry has gained rapid development in China, and then the evaluation of high and new technology enterprises, especially the growth development guide of the high and new technology enterprises, is also becoming more and more the focus of the theoretical and practical circles.
At present, evaluation and growth path guidance of high and new technology enterprises are limited to two modes of training meetings and off-line coaching of coaching institutions, evaluation and analysis modes are simple, service efficiency is low, and the enterprise growth and market competitiveness are difficult to truly help.
Disclosure of Invention
The invention aims to provide an enterprise growth path planning method based on an index set, which is characterized by comprising the following steps of:
sequentially matching indexes according to the sequence of the growth nodes in the enterprise growth plan;
after obtaining the matching result of all the index items defined by a growth node, according to the formula
Calculating the matching percentage, comparing the percentage with the minimum satisfied percentage defined by the growth node, and judging that the enterprise conforms to the growth node if the percentage is more than or equal to the defined numerical value;
and taking the last conforming growth node as the growth node where the enterprise is located at present, taking the first non-conforming growth node as the next growth node of the enterprise, and determining the index which needs to be reached by the next growth node of the enterprise.
When the step is carried out according to the sequence of the growth nodes in the enterprise growth plan, the method comprises the steps of judging whether each index item is an index set or not, and if so, executing the following steps:
step A, independently calculating a judgment result of each rule according to a plurality of preset rules;
and B, performing preset logic comparison operation on the judgment result of each rule to obtain an index set result.
The step a of separately calculating the judgment result of each rule according to the preset rules specifically comprises the following steps:
a.1, acquiring an index set N, wherein the index set N comprises the serial number of one or more index items and an index set N result judgment logical expression;
a.2, creating an index set N matching result set for storing matching results;
a.3, acquiring the value of the index from a pre-collected enterprise index library according to the serial number of the index item;
a.4, if the value of the index cannot be obtained from the enterprise index library, directly exiting the loop and not executing the subsequent steps;
a.5, comparing the values of the enterprise indexes acquired in advance according to the matching rules defined by the current index items to obtain a result of meeting or not meeting the index item conditions, and storing the comparison result into an index set N matching result set;
and A.6, repeating the steps A.3 to A.5 until all index items in the index set are traversed, and outputting an index set N matching result set.
Preferably, the step B of performing a preset logical comparison operation on the judgment result of each rule to obtain an index set result includes the specific steps of:
b.1, taking out a corresponding comparison result from the index set N matching result set;
b.2, substituting the corresponding comparison result taken out into a preset logic comparison formula for operation to obtain a result of the index set N, wherein when the result of the index set N is true, the enterprise accords with the condition defined by the index set; when the result of the index set N is false, the enterprise is not in accordance with the condition defined by the index set.
Preferably, after the determining the index that needs to be reached by the next growth node of the enterprise, the method further includes: and associating index items corresponding to indexes which need to be reached by the next growth node of the enterprise with service providers.
Preferably, after the index item corresponding to the index that needs to be reached by the next growth node of the enterprise is associated with the service provider, the method further includes the step of pushing the associated service provider to the enterprise.
Preferably, at the step of: sequentially matching indexes according to the sequence of growth nodes in the enterprise growth plan; before, the method also comprises the following steps of collecting enterprise data: reading the source configuration of the index items of the enterprise data, calling all interfaces for acquiring the index items through reflection, taking the acquisition interfaces as grouping conditions, and completing the calling of all the acquisition interfaces to acquire all the index items.
Preferably, at the step of: sequentially matching indexes according to the sequence of growth nodes in the enterprise growth plan; the method also comprises the following steps: and reading the policy based on an artificial intelligence mode, and generating indexes which need to be reached by the policy index items.
An enterprise growth path planning system based on index set, using the method of claims 1 to 6.
Advantageous effects
By the enterprise evaluation method, the enterprise can be matched according to enterprise data, the current growth node of the enterprise is determined, the index required to be reached by the next growth node of the enterprise is navigated, the enterprise conforms to the declared policy and navigates the index required to be reached by the policy which is not satisfied by the enterprise, the enterprise is effectively quantitatively evaluated, the efficiency and convenience of enterprise evaluation are greatly improved, and the market competitiveness of the enterprise is improved;
meanwhile, due to the introduction of the index set, more complex matching requirements can be met, and the problems that one condition needs to be judged according to a plurality of rules, nesting relations exist among the rules and the like are solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a schematic diagram of an enterprise growth path planning method based on an index set according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an interface of an enterprise growth path planning method based on an index set according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an index set according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In this embodiment, an enterprise growth path planning method based on an index set is provided, and referring to fig. 1, the enterprise growth path planning method includes:
s1, sequentially matching indexes according to the sequence of growth nodes in an enterprise growth plan;
s2, after obtaining all index item matching results defined by one growth node, according to a formula
Calculating the percentage of matchingWhere n is the total number of items following the summation symbol and i is the number of. Comparing the percentage of the minimum satisfaction defined by the growth node, and if the percentage of the minimum satisfaction defined by the growth node is greater than or equal to the defined numerical value, judging that the enterprise conforms to the growth node;
and S3, taking the last conforming growth node as the growth node where the enterprise is located at present, taking the first non-conforming growth node as the next growth node of the enterprise, and determining the index which needs to be reached by the next growth node of the enterprise.
For example, there are three growth nodes, which are sequentially marked as a first growth node, a second growth node, and a third growth node, and the enterprise is currently in the first growth node, and for reaching the second growth node, the enterprise only differs from the index item of the amount of intellectual property rights owned by the enterprise, and the amount of intellectual property rights owned by the enterprise needs to reach 2 invention patents or 6 utility model patents; at present, the enterprise only has 1 invention patent and 2 utility model patents, so that the enterprise can know that the enterprise has 1 invention patent or 4 utility model patents through the enterprise growth path planning module, and a second growth node can be achieved. Referring to fig. 2, fig. 2 is an interface schematic diagram of an enterprise growth path planning method based on an index set according to an embodiment of the present invention, and fig. 2 shows that three growth nodes in an enterprise growth plan are growth nodes of a cultivation warehouse, a specialty essence novelty, and a small giant, and the XX science and technology limited company is currently in a cultivation warehouse, and can grow into a specialty essence novelty at a next stage, that is, a next growth node is a specialty essence novelty; it should be understood that the example in fig. 2 only shows three growth nodes in one case, which does not limit the present embodiment, and other growth nodes may also be used, and may be specifically determined according to the actual situation.
Sequentially matching indexes according to the sequence of growth nodes in the enterprise growth plan; and calculating a final result according to the weight occupied by each index item.
In this embodiment, the index items include basic potential energy, innovation capability, enterprise credit, business conditions, enterprise growth, and the like; the basic potential energy comprises independent legal qualification, enterprise employee total number, establishment date and the like; the innovation capacity comprises the amount of intellectual property rights owned by enterprises, the conversion capacity of scientific and technological achievements and the like; the enterprise credit comprises tax credit, the situation of the administrative penalty in the last half year, the situation of the administrative penalty in the current year, the situation of serious violation in the last year, the situation of serious violation in the current year and the like; the operation conditions comprise average increase of income of major business in nearly two years, operation profit rate, abnormal operation condition in the last year, abnormal operation condition in the current year and the like; and for enterprise growth path planning, determining which index items are contained according to actual requirements.
In this embodiment, S1, sequentially performing index matching according to the sequence of growth nodes in an enterprise growth plan; the method comprises the following steps of judging whether each index item is an index set, and if the index items are the index sets, executing the following steps:
a, independently calculating a judgment result of each rule according to a plurality of preset rules;
and B, performing preset logic comparison operation on the judgment result of each rule to obtain an index set result.
An index set is a special index term that contains one or more index terms and a logical judgment formula. Under special conditions, the index set and the index items can be nested for many times to complete more complex judgment work.
In this embodiment, the specific step of separately calculating the determination result of each rule according to the preset rules in step a is as follows:
a.1, obtaining an index set N, wherein the index set N comprises the serial number of one or more index items and an index set N result judgment logical formula;
a.2, creating an index set N matching result set for storing matching results;
a.3, acquiring the value of the index from a pre-collected enterprise index library according to the serial number of the index item;
a.4, if the value of the index cannot be obtained from the enterprise index library, directly exiting the loop and not executing the subsequent steps;
a.5, comparing the values of the enterprise indexes acquired in advance according to the matching rules defined by the current index items to obtain a result of meeting or not meeting the index item conditions, and storing the comparison result into an index set N matching result set;
and A.6, repeating the steps A.3 to A.5 until all the index items in the index set are traversed, and outputting an index set N matching result set.
In this embodiment, the specific step of performing the preset logical comparison operation on the determination result of each rule to obtain the index set result in step B is as follows:
b.1, taking out a corresponding comparison result from the index set N matching result set;
b.2, substituting the corresponding comparison result taken out into a preset logic comparison formula for operation to obtain a result of the index set N, wherein when the result of the index set N is true, the enterprise accords with the condition defined by the index set; when the result of the index set N is false, the enterprise is represented to be out of the condition defined by the index set.
The set of indicators is exemplified below:
one index set comprises a plurality of matching rules, and when a plurality of rules judge results, a final result is dynamically calculated according to a logic comparison formula of the index set, so that the condition is judged according to the rules; the logical expression in the rule is to specify the AND or-NOT relation between a plurality of rules; the matching rules include a compare operator, a compare operation value, whether necessary, etc. The comparison operators comprise logic operators such as greater than, less than, equal to, unequal to, greater than or equal to, less than or equal to, including, not including, and intervals;
referring to fig. 3, the business income for main operation is an index set, and whether a condition of an enterprise is met is judged as a whole, the index set includes business income for main operation in the last year of number 2, industry to which the enterprise belongs in the number 3, business income for main operation in the last year of number 5, and industry to which the enterprise belongs in the number 5, and the rule is that the index set meeting the business income for main operation is shown when the following logical judgment formula (2and 3) or (4and 5) is satisfied; in fig. 3, the index rule may be configured, for example, the income of the last year main business is configured to be more than or equal to 500 ten thousand;
for another example: the index set of the proportion of the total amount of research and development expenses to the total amount of sales income in the same period is regulated to meet any one of the following conditions:
1. when the annual sales income is more than or equal to 5000 ten thousand, the research and development cost accounts for more than 5 percent;
2. the research and development cost accounts for more than 4% when the sales income of the last year is 2000-5000 ten thousand;
3. when the sales income in the last year is less than 2000 ten thousand, the research and development cost accounts for more than 3 percent.
In the embodiment, according to the growth target, listing all the non-compliant enterprise index items in the judgment for enterprise reference, and guiding the energized enterprise to improve the enterprise to meet the index conditions; after determining the index that the next growth node of the enterprise needs to reach, the method further comprises the following steps: and associating the index items corresponding to the indexes which need to be reached by the next growth node of the enterprise with the service provider, establishing a model of the indexes and the service system, and completing the recommendation of the service provider.
In this embodiment, in S1, index matching is performed in sequence according to the sequence of growth nodes in the enterprise growth plan; further comprising: and receiving the input enterprise name, judging whether the data of the enterprise is collected or not, and if so, taking the data of the enterprise stored in the local cache database as the acquired enterprise data under the condition that the data of the enterprise is effective.
In this embodiment, after determining whether the data of the enterprise has been collected, the method further includes: and under the condition that the data of the enterprise is not collected or the data of the enterprise is collected and is invalid, all index items contained in the three steps of enterprise scoring, enterprise growth path planning and policy matching are matched, and a related interface is called according to a collection method defined by the indexes to collect and store the enterprise data. That is, when an enterprise logs in for the first time, enterprise data needs to be collected; when the valid time of the enterprise data cached locally by the enterprise is expired, the enterprise data needs to be collected again. In a specific implementation, before the step 1 of acquiring the enterprise data, the following steps of acquiring the enterprise data are further included: reading the source configuration of the index items of the enterprise data, calling all interfaces for acquiring the index items through reflection, and automatically completing acquisition of all indexes by using all acquisition interfaces as grouping conditions instead of indexes for efficiency reasons.
In this embodiment, before performing index matching of policy index items on an enterprise according to enterprise data, determining policies that the enterprise satisfies, and determining indexes that the policies that the enterprise does not satisfy need to reach at S1, the method further includes: and reading the policy based on an artificial intelligence mode, and generating indexes which need to be reached by the policy index items. The artificial intelligence mode comprises a deep neural network model, a convolution neural network model and the like. The policies are read in an artificial intelligence mode, the trouble of manual reading is saved, the efficiency is improved, and the method is more intelligent. After the policies are read through an artificial intelligence mode, the policies can be checked by workers, and if places needing to be modified exist, the policies can be modified, so that the accuracy is further improved. The efficiency and the convenience of enterprise evaluation are greatly improved, the enterprise is helped to improve the market competitiveness, and meanwhile, the enterprise can clearly master the current condition of the enterprise, and a solid foundation is laid for subsequent development. Meanwhile, more complex matching requirements can be met, and the problems that one condition needs to be judged according to a plurality of rules, nesting relations exist among the rules and the like are solved.
The invention also provides an enterprise growth path planning system based on the index set, which comprises the following modules:
the method comprises the following steps that a module 1 sequentially carries out index matching according to the sequence of growth nodes in an enterprise growth plan;
a module 2, configured to obtain matching results of all the index items defined by a growth node according to a formula
Calculating the matching percentage, comparing the percentage with the minimum satisfied percentage defined by the growth node, and if the percentage is more than or equal to the defined numerical value, judging that the enterprise conforms to the growth node;
and the module 3 is used for taking the last growth node which is in accordance with the growth node as the growth node where the enterprise is located at present, taking the first growth node which is not in accordance with the growth node as the next growth node of the enterprise, and determining the index which needs to be reached by the next growth node of the enterprise.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and additions can be made without departing from the principle of the present invention, and these should also be considered as the protection scope of the present invention.
Claims (6)
1. An enterprise growth path planning method based on an index set is characterized by comprising the following steps:
s1, sequentially matching indexes according to the sequence of growth nodes in an enterprise growth plan;
s2, after obtaining all index item matching results defined by one growth node, according to a formula
Calculating the matching percentage, comparing the percentage with the minimum satisfied percentage defined by the growth node, and judging that the enterprise conforms to the growth node if the percentage is more than or equal to the defined numerical value;
s3, taking the last conforming growth node as the growth node where the enterprise is located at present, taking the first non-conforming growth node as the next growth node of the enterprise, and determining the index which needs to be reached by the next growth node of the enterprise;
when the step S1 is used for sequentially matching indexes according to the sequence of the growth nodes in the enterprise growth plan, the method comprises the steps of judging whether each index item is an index set, and if so, executing the following steps:
step A, independently calculating a judgment result of each rule according to a plurality of preset rules;
b, performing preset logic comparison operation on the judgment result of each rule to obtain an index set result;
the step a of separately calculating the judgment result of each rule according to the preset rules specifically comprises the following steps:
a.1, obtaining an index set N, wherein the index set N comprises the serial number of one or more index items and an index set N result judgment logical formula;
a.2, creating an index set N matching result set for storing matching results;
a.3, acquiring the value of the index from a pre-acquired enterprise index library according to the serial number of the index item;
a.4, if the value of the index cannot be obtained from the enterprise index library, directly exiting the loop and not executing the subsequent steps;
a.5, comparing the values of the enterprise indexes which are pre-collected according to the matching rules defined by the current index items to obtain the result of meeting the index item conditions or not meeting the index item conditions, and storing the comparison result into an index set N matching result set;
and A.6, repeating the steps A.3 to A.5 until all index items in the index set are traversed, and outputting an index set N matching result set.
2. The method according to claim 1, wherein the step B of performing a predetermined logic comparison operation on the judgment result of each rule to obtain the result of the index set comprises the specific steps of:
b.1, taking out a corresponding comparison result from the index set N matching result set;
b.2, substituting the extracted corresponding comparison result into a preset logic comparison formula for operation to obtain a result of the index set N, wherein when the result of the index set N is true, the enterprise accords with the condition defined by the index set; when the result of the index set N is false, the enterprise is not in accordance with the condition defined by the index set.
3. The method as claimed in claim 1, further comprising, after determining the metrics required to be reached by the next growth node of the enterprise: and associating the index item corresponding to the index required to be reached by the next growth node of the enterprise with the service provider.
4. The method as claimed in claim 3, further comprising the step of pushing the service provider to the enterprise after associating the index item corresponding to the index that needs to be reached by the next growth node of the enterprise with the service provider.
5. The method of claim 1, wherein the step of: sequentially matching indexes according to the sequence of growth nodes in the enterprise growth plan; before, the method also comprises the following steps of collecting enterprise data: reading the source configuration of the index items of the enterprise data, calling all interfaces for acquiring the index items through reflection, taking the acquisition interfaces as grouping conditions, and completing the calling of all the acquisition interfaces to acquire all the index items.
6. The method of claim 1, wherein the step of: sequentially matching indexes according to the sequence of growth nodes in the enterprise growth plan; the method also comprises the following steps: and reading the policy based on an artificial intelligence mode, and generating an index which is required to be reached by a policy index item.
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