CN114626870B - Intelligent analysis system and analysis method for enterprise data - Google Patents
Intelligent analysis system and analysis method for enterprise data Download PDFInfo
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses an enterprise data intelligent analysis system and an analysis method thereof in the technical field of data management and analysis, wherein the enterprise data intelligent analysis system comprises a user ordering module, a user order inquiring module, a user order classifying and storing module, a user service inquiring module and an advertisement directional pushing module; the invention records all orders of the client when the client generates a service order to the enterprise, and performs intelligent analysis work on all orders of the client, namely, performs periodic statistics according to periodic orders of the client, and automatically controls the service advertisement to be periodically put to the client when the order quantity base of the client in the period is lower than that of the previous period or lower than that of the previous period at the same time, so as to improve the advertising strength of the client.
Description
Technical Field
The invention relates to the technical field of data management and analysis, in particular to an enterprise data intelligent analysis system and an analysis method thereof.
Background
Enterprise data generally refers to all information, materials related to enterprise operations, including company profiles, product information, business data, research results, etc., where business confidentiality is not compromised. The enterprise data is narrow, and generally includes only company profiles, including company business areas, contact addresses, enterprise sizes, etc., and is generally public. The acquisition channels of enterprise data are divided into centralized and distributed. Centralized is generally issued by unified government departments, such as business office data and statistical office data, has authority and comprehensiveness, but the data content is relatively coarse and lacks fineness. The distributed type is obtained and unified tidied by a business company through subordinate departments in a scattered way through various means, and the fineness and the accuracy of the data can generally meet certain requirements.
In the prior art, a large amount of customer service data, such as order data of customers, is stored in an enterprise data storage system, but the data are generally only subjected to statistics of all data to reflect the sales total amount of enterprise business, and the periodic quantity of customers is not analyzed by the system, so that the customer order amount is easily reduced gradually due to time lapse, and the enterprise personnel cannot know the customer order amount, and further, the enterprises cannot timely maintain the order customers through means of advertising and the like.
Based on the above, the invention designs an enterprise data intelligent analysis system and an analysis method thereof to solve the above problems.
Disclosure of Invention
In order to solve the timely problem in the prior art, the invention aims to provide an intelligent analysis system and an analysis method for enterprise data.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
an enterprise data intelligent analysis system comprises a user order placing module, a user order inquiring module, a user order classifying and storing module, a user service inquiring module and an advertisement directional pushing module;
the user ordering module is used for designating a client to perform ordering operation on an enterprise through a user system;
the user order inquiry module is used for inquiring all user order data by the enterprise system;
the user order classification storage module is used for carrying out periodic order base calculation on the inquired user order data and classifying and storing the user order data according to a periodic list;
the user service inquiry module is used for inquiring order service type data in the user order data;
the advertisement orientation pushing module is used for pushing related business advertisement services to the user ordering module at fixed time according to user order business data.
Preferably, the user order classification storage module comprises a user order storage sub-module, an order base calculation module, a base control storage module and an order base classification storage module;
the user order storage sub-module is used for storing the queried user order quantity data information;
the order base calculation module is used for calculating average single-quantity base information of the user order quantity data in unit cycle time;
the base control storage module is used for comparing the order base data of the current period with the order base information of the previous period and sending a control signal for reducing the order base data to the user service inquiry module;
and the order base classification storage module is used for classifying and storing user order base data information of different setting periods.
Preferably, the order base calculation module comprises an order quantity extraction module, a week order base calculation module, a month order base calculation module and a year order base calculation module;
the order quantity extraction module is used for extracting various periodic order data information of a single user;
the Zhou Dingshan base calculation module is used for calculating an average single-quantity base in a corresponding week period;
the month order base calculation module is used for calculating an average single-quantity base in a corresponding month period;
the annual order base calculation module is used for calculating the average single-quantity base in the corresponding annual period.
Preferably, the radix control storage module comprises an upper period radix extraction module and a radix comparison control module;
the upper period base extraction module is used for extracting average single-quantity base information of users in the upper period, which is stored by the order base classification storage module;
the base comparison control module is used for extracting the user average single-quantity base data of the current period in order base calculation, comparing the user average single-quantity base data with the user average single-quantity base data of the last period, and automatically sending a control signal to the user service inquiry module when the average single-quantity base of the current period is smaller than the average single-quantity base of the last period.
Preferably, the advertisement orientation pushing module comprises an advertisement control sending module and an advertisement classification storage module;
the advertisement control sending module is used for receiving the corresponding user order service type of the user service inquiry module, and calling the corresponding service type advertisement stored in the advertisement classification storage module to be sent to the user periodically;
and the advertisement classification storage module is used for classifying and storing advertisements corresponding to various services.
An intelligent analysis method for enterprise data comprises the following steps:
s1, inquiring order information of a user, and extracting order quantity information in order information of a designated user;
s2, periodically counting order quantity information, calculating average single quantity base information of each period and storing the average single quantity base information;
s3, comparing the average single-quantity base number of the upper period with the average single-quantity data information of the period, and controlling to inquire the service type information of the corresponding user when the average single-quantity base number information of the period is smaller than the average single-quantity base number of the upper period;
s4, according to the queried service type information, sending the push advertisement information corresponding to the service type to the appointed user at regular intervals.
Compared with the prior art, the invention has the beneficial effects that: when a customer generates a service order to an enterprise, all orders of the customer are recorded, intelligent analysis work is carried out on all orders of the customer, namely periodic statistics is carried out according to periodic orders of the customer, and when the quantity base of the orders in the period of the customer is lower than that of the previous period or lower than that of the previous period at the same time, the service advertisement is automatically controlled to be regularly put into the customer, so that the advertising promotion strength of the customer is improved.
Drawings
The invention is described in further detail below with reference to the attached drawings and detailed description:
FIG. 1 is a diagram of the overall system architecture of the present invention;
FIG. 2 is a system diagram of a customer order sort storage module of the present invention;
FIG. 3 is a system diagram of an order radix calculation module of the present invention;
FIG. 4 is a system diagram of a radix control memory module of the present invention;
FIG. 5 is a system diagram of an advertisement timing pushing module according to the present invention;
fig. 6 is a flow chart of the overall invention.
Detailed Description
Further advantages and effects of the present invention will become apparent to those skilled in the art from the disclosure of the present invention, which is described by the following specific examples.
Please refer to fig. 1 to 5. The invention provides a technical scheme that: an enterprise data intelligent analysis system comprises a user order placing module, a user order inquiring module, a user order classifying and storing module, a user service inquiring module and an advertisement directional pushing module;
the user ordering module is used for designating a client to perform ordering operation on an enterprise through a user system;
the user order inquiry module is used for inquiring all user order data by the enterprise system;
the user order classification storage module is used for carrying out periodic order base calculation on the inquired user order data and classifying and storing the user order data according to a periodic list;
the user service inquiry module is used for inquiring order service type data in the user order data;
the advertisement orientation pushing module is used for pushing related business advertisement services to the user ordering module at fixed time according to user order business data.
It should be noted that, in the process of storing a customer order in enterprise data by using the enterprise data intelligent analysis system of the present invention, when a customer uses a customer order placing module to place an order on enterprise service business, for example, when the order placing business type is a periodic order, the customer order data is queried by using a customer order querying module, and the order is stored by using a customer order classifying storage module, and in the process of storing the order classified by using the order classifying storage module, all the orders of the customer are continuously accumulated, and the accumulated orders are classified and stored according to a periodic list, i.e. when the average order number base of the customer is larger, the customer order can be stored according to a periodic order type, and the order can also be a monthly order, a quarter order or a year order period, etc., and when the average order number base in the customer's period is lower than the average order base of the previous period, the system can automatically feed back to the customer order business querying module, for example, when the order business type of the customer is a class a product business, the system can query the order type corresponding to class a product type by using an advertisement orientation pushing module, and send the advertisement to the customer to a relevant advertisement.
In a further embodiment, the user order classification storage module includes a user order storage sub-module, an order base calculation module, a base control storage module and an order base classification storage module;
the user order storage sub-module is used for storing the queried user order quantity data information;
the order base calculation module is used for calculating average single-quantity base information of the user order quantity data in unit cycle time;
the base control storage module is used for comparing the order base data of the current period with the order base information of the previous period and sending a control signal for reducing the order base data to the user service inquiry module;
the order base classification storage module is used for classifying and storing user order base data information of different set periods;
in the process of data storage of the inquired user orders, the user order storage submodule can be used for storing order data, the order base calculation module is used for calculating average cycle order base data of the user orders, the base control storage module is used for comparing and analyzing the cycle order base and the upper cycle order base, when the cycle order base is smaller, a control signal is sent to the user service inquiry module to inquire the service type of an order customer, and the user is pushed at the timing of service popularization advertisements so as to remind the customer to make the order placing or selecting the order placing work.
In a further embodiment, the order base calculation module comprises an order quantity extraction module, a week order base calculation module, a month order base calculation module and a year order base calculation module;
the order quantity extraction module is used for extracting various periodic order data information of a single user;
the Zhou Dingshan base calculation module is used for calculating an average single-quantity base in a corresponding week period;
the month order base calculation module is used for calculating an average single-quantity base in a corresponding month period;
the annual order base calculation module is used for calculating an average single-quantity base in a corresponding annual period;
by utilizing the two extraction modules of the quantity of orders, the average quantity base number calculation of weekly orders, monthly orders or annual orders can be respectively carried out according to the quantity of orders of a user in a unit period, so that the change condition of the quantity of orders of the user can be conveniently known.
In a further embodiment, the radix control storage module includes an upper period radix extraction module and a radix comparison control module;
the upper period base extraction module is used for extracting average single-quantity base information of users in the upper period, which is stored by the order base classification storage module;
the base comparison control module is used for extracting user average single-quantity base data of the current period in order base calculation, comparing the user average single-quantity base data with user average single-quantity base data of the previous period, and automatically sending a control signal to the user service inquiry module when the average single-quantity base of the current period is smaller than the average single-quantity base of the previous period;
when the calculated periodic average single-quantity base is stored, the average single-quantity base of the period can be compared with the average single-quantity base of the previous period, and when the average single-quantity base of the period is reduced, the control signal can be sent to a user service inquiry module through a base comparison control module to inquire the service type of the order of the client, so that the pushing work of corresponding service advertisements to the client can be conveniently realized.
In a further embodiment, the advertisement targeting pushing module includes an advertisement control sending module and an advertisement classification storage module;
the advertisement control sending module is used for receiving the corresponding user order service type of the user service inquiry module, and calling the corresponding service type advertisement stored in the advertisement classification storage module to be sent to the user periodically;
the advertisement classification storage module is used for classifying and storing advertisements corresponding to various businesses;
by utilizing the advertisement classification storage module, push advertisements corresponding to various businesses in enterprises can be conveniently stored, and when the average single-quantity base number of the period of a client is reduced, the advertisements can be automatically sent to the client, so that the advertisement propaganda of the client is realized, and the advertisement propaganda strength of the client is improved.
Please refer to fig. 6. An intelligent analysis method for enterprise data comprises the following steps:
s1, inquiring order information of a user, and extracting order quantity information in order information of a designated user;
s2, periodically counting order quantity information, calculating average single quantity base information of each period and storing the average single quantity base information;
s3, comparing the average single-quantity base number of the upper period with the average single-quantity data information of the period, and controlling to inquire the service type information of the corresponding user when the average single-quantity base number information of the period is smaller than the average single-quantity base number of the upper period;
s4, according to the queried service type information, sending push advertisement information corresponding to the service type to the appointed user at regular intervals;
when analyzing the customer order, the customer can firstly make an order placing operation on the service business in the enterprise, the system can automatically inquire and count the order quantity of the customer in the period, calculate the average single-quantity base data in each period, and make a comparison operation on the average single-quantity base in each period, and when the average single-quantity base in the period is reduced, the advertisement pushing service of the corresponding business can be utilized to send advertisement promotion to the customer at regular time, so that the propaganda strength of the enterprise customer is improved.
It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the invention to the extent that it can be practiced, since modifications, changes in the proportions, or otherwise, used in the practice of the invention, are not intended to be critical to the essential characteristics of the invention, but are intended to fall within the spirit and scope of the invention. Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the invention, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the invention may be practiced.
The above embodiments are merely illustrative of the principles of the present invention and its effectiveness, and are not intended to limit the invention. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the invention. Accordingly, it is intended that all equivalent modifications and variations of the invention be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (3)
1. The enterprise data intelligent analysis system is characterized by comprising a user ordering module, a user order inquiring module, a user order classifying and storing module, a user service inquiring module and an advertisement directional pushing module;
the user ordering module is used for designating a client to perform ordering operation on an enterprise through a user system;
the user order inquiry module is used for inquiring all user order data by the enterprise system;
the user order classification storage module is used for carrying out periodic order base calculation on the inquired user order data and classifying and storing the user order data according to a periodic list;
the user service inquiry module is used for inquiring order service type data in the user order data;
the advertisement directional pushing module is used for pushing related business advertisement services to the user ordering module at regular time according to user order business data;
the user order classification storage module comprises a user order storage sub-module, an order base calculation module, a base control storage module and an order base classification storage module;
the user order storage sub-module is used for storing the queried user order quantity data information;
the order base calculation module is used for calculating average single-quantity base information of the user order quantity data in unit cycle time;
the base control storage module is used for comparing the order base data of the current period with the order base information of the previous period and sending a control signal for reducing the order base data to the user service inquiry module;
the order base classification storage module is used for classifying and storing user order base data information of different set periods;
the order base calculation module comprises an order quantity extraction module, a week order base calculation module, a month order base calculation module and a year order base calculation module;
the order quantity extraction module is used for extracting various periodic order data information of a single user;
the Zhou Dingshan base calculation module is used for calculating an average single-quantity base in a corresponding week period;
the month order base calculation module is used for calculating an average single-quantity base in a corresponding month period;
the annual order base calculation module is used for calculating an average single-quantity base in a corresponding annual period;
the advertisement directional pushing module comprises an advertisement control sending module and an advertisement classification storage module;
the advertisement control sending module is used for receiving the corresponding user order service type of the user service inquiry module, and calling the corresponding service type advertisement stored in the advertisement classification storage module to be sent to the user periodically;
and the advertisement classification storage module is used for classifying and storing advertisements corresponding to various services.
2. The intelligent analysis system of claim 1, wherein the radix control storage module comprises an upper period radix extraction module and a radix comparison control module;
the upper period base extraction module is used for extracting average single-quantity base information of users in the upper period, which is stored by the order base classification storage module;
the base comparison control module is used for extracting the user average single-quantity base data of the current period in the order base calculation module, comparing the user average single-quantity base data with the user average single-quantity base data of the previous period, and automatically sending a control signal to the user service inquiry module when the average single-quantity base of the current period is smaller than the average single-quantity base of the previous period.
3. An intelligent analysis method for enterprise data, applied to the intelligent analysis system for enterprise data as claimed in claim 1, comprising the steps of:
s1, inquiring order information of a user, and extracting order quantity information in order information of a designated user;
s2, periodically counting order quantity information, calculating average single quantity base information of each period and storing the average single quantity base information;
s3, comparing the average single-quantity base number of the upper period with the average single-quantity data information of the period, and controlling to inquire the service type information of the corresponding user when the average single-quantity base number information of the period is smaller than the average single-quantity base number of the upper period;
s4, according to the queried service type information, sending the push advertisement information corresponding to the service type to the appointed user at regular intervals.
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