CN114626870A - Enterprise data intelligent analysis system and analysis method thereof - Google Patents
Enterprise data intelligent analysis system and analysis method thereof Download PDFInfo
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- CN114626870A CN114626870A CN202011453223.5A CN202011453223A CN114626870A CN 114626870 A CN114626870 A CN 114626870A CN 202011453223 A CN202011453223 A CN 202011453223A CN 114626870 A CN114626870 A CN 114626870A
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- 238000004364 calculation method Methods 0.000 claims description 27
- 238000000605 extraction Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 7
- 230000008685 targeting Effects 0.000 claims description 2
- 230000003442 weekly effect Effects 0.000 claims description 2
- 238000013523 data management Methods 0.000 abstract description 2
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
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 query module, a user order classification storage module, a user service query module and an advertisement directional pushing module; the invention records all orders of the client when the client generates business orders for the enterprise, and intelligently analyzes all orders of the client, namely, periodically counts according to the periodic orders of the client, and automatically controls business advertisements to be regularly released to the client when the quantity base number of the orders in the period of the client is lower than that of the previous order or is lower than that of the previous orders 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 and data related to enterprise operations, including company profiles, product information, operational data, research results, etc., wherein business confidentiality is not always involved. The enterprise data is generally referred to as narrow-sense enterprise data, and generally only includes company profile introduction, including company management scope, contact information, enterprise size, and the like, and is generally public data. The acquisition channels of enterprise data are centralized and distributed. The centralized data is generally issued by unified government departments, such as data of an industrial and commercial bureau and data of a statistical bureau, has authority and comprehensiveness, but has rough data content and lacks fineness. The distributed type is obtained by a business company through subordinate departments in a scattered manner through various means and is unified and arranged, and the fineness and the accuracy of data can generally meet certain requirements.
The existing enterprise data storage system can store a large amount of customer service data, such as order data of customers, but generally only statistics of all the data is carried out on the data to reflect the total sales volume of enterprise business, and due to the fact that periodic single volume of the customers is not subjected to system analysis, the order volume of the customers is easily reduced gradually due to time lapse, enterprise personnel cannot know the order volume, and then 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, so as to solve the above problems.
Disclosure of Invention
In order to solve the timely problems mentioned in the prior art, the invention aims to provide an enterprise data intelligent analysis system and an analysis method thereof.
In order to achieve the purpose, the invention adopts the following technical scheme:
an enterprise data intelligent analysis system comprises a user ordering module, a user order query module, a user order classification storage module, a user business query module and an advertisement directional pushing module;
the user ordering module is used for appointing a client to perform ordering operation to the enterprise through a user system;
the user order query module is used for querying 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 storing the user order data in a classification mode according to a periodic list;
the user service inquiry module is used for inquiring order service type data in the user order data;
and the advertisement directional pushing module is used for regularly pushing related business advertisement services to the user ordering module according to the user order business data.
Preferably, the user order classification storage module comprises a user order storage sub-module, an order base number calculation module, a base number control storage module and an order base number classification storage module;
the user order storage sub-module is used for storing the inquired user order quantity data information;
the order base number calculation module is used for calculating the average order base number information of the user order number data in unit cycle time;
the base number control storage module is used for comparing the order base number data of the period with the order base number information of the previous period and sending a control signal for reducing the order base number data to the user service inquiry module;
and the order base number classified storage module is used for classified storage of the user order base number data information of different set periods.
Preferably, the order base number calculation module comprises an order quantity extraction module, a week order base number calculation module, a month order base number calculation module and a year order base number calculation module;
the order quantity extraction module is used for extracting various types of periodic order data information of a single user;
the week order base number calculating module is used for calculating the average single quantity base number in the corresponding week period;
the monthly order base number calculating module is used for calculating the average single quantity base number in the corresponding monthly period;
and the annual order base number calculating module is used for calculating the average unit number base number 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 last period base number extraction module is used for extracting the average single quantity base number information of the user in the last period, which is stored by the order base number classification storage module;
the base number comparison control module is used for extracting the user average single quantity base number data in the current period in the order base number calculation and comparing the user average single quantity base number data in the previous period, and automatically sending a control signal to the user service query module when the average single quantity base number in the current period is smaller than the average single quantity base number in the previous period.
Preferably, the advertisement targeting 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 send to the user at regular intervals;
and the advertisement classified storage module is used for classified storage of advertisements corresponding to various services.
An intelligent enterprise data analysis method comprises the following steps:
s1, inquiring user order information, and extracting order quantity information in the specified user order information;
s2, carrying out periodic statistics on the order quantity information, and calculating and storing average single quantity base information of each period;
s3, comparing the average single quantity base number of the previous period with the average single quantity data information of the current period, and controlling and inquiring the service type information of the corresponding user when the average single quantity base number information of the current period is smaller than the average single quantity base number of the previous period;
and S4, periodically sending the push advertisement information corresponding to the service type to the appointed user according to the inquired service type information.
Compared with the prior art, the invention has the following beneficial effects: when a customer generates a business order for 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 the periodic orders of the customer, and when the order quantity base number of the customer in the period is lower than that of the previous order or is lower than that of the previous orders, business advertisements are automatically controlled to be put to the customer regularly, so that the advertising strength of the customer is improved.
Drawings
The invention is described in further detail below with reference to the following figures 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 user order classification storage module according to the present invention;
FIG. 3 is a system diagram of an order cardinality calculation module of the present invention;
FIG. 4 is a system diagram of a radix control storage module of the present invention;
FIG. 5 is a system diagram of an advertisement timing push module of the present invention;
fig. 6 is a flowchart of the overall invention.
Detailed Description
The following description of the embodiments of the present invention is provided for illustrative purposes, and other advantages and effects of the present invention will become apparent to those skilled in the art from the present disclosure.
Please refer to fig. 1 to 5. The invention provides a technical scheme that: an enterprise data intelligent analysis system comprises a user ordering module, a user order query module, a user order classification storage module, a user business query module and an advertisement directional pushing module;
the user ordering module is used for appointing a client to perform ordering operation to the enterprise through a user system;
the user order query module is used for querying 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 storing the user order data in a classification mode according to a periodic list;
the user service inquiry module is used for inquiring order service type data in the user order data;
and the advertisement directional pushing module is used for regularly pushing related business advertisement services to the user ordering module according to the user order business data.
It should be noted that, in the process of storing the customer order in the enterprise data by using the enterprise data intelligent analysis system of the present invention, when the customer places the order for the enterprise service business by using the customer order placing module, for example, when the type of the order placing business is a periodic order, the customer order data is queried by the customer order querying module, and the order is stored by using the customer order classification storage module, and in the process of storing the order, all the order quantities of the customer are continuously accumulated, and the accumulated orders of the customer are classified and stored according to the period list, that is, when the average number base of the order in the week of the customer is large, the customer order can be stored according to the type of the order in the week, such order can be a monthly order, a quarterly order, or an annual order period, and when the average number base in the customer period is lower than the average number base of the previous period, the system can automatically feed back to the user service query module to query the order service type of the user, for example, when the order service type of the client is the A-type product order service, the system can query the push advertisement corresponding to the A-type product order service type through the advertisement oriented push module, and send the push advertisement to the specified client to carry out related product advertisement promotion.
In a further implementation mode, the user order classification storage module comprises a user order storage sub-module, an order base number calculation module, a base number control storage module and an order base number classification storage module;
the user order storage sub-module is used for storing the inquired user order quantity data information;
the order base number calculation module is used for calculating the average order base number information of the user order number data in unit cycle time;
the base number control storage module is used for comparing the order base number data of the period with the order base number information of the previous period and sending a control signal for reducing the order base number data to the user service inquiry module;
the order base number classified storage module is used for classified storage of user order base number data information of different set periods;
in the process of storing the inquired user orders, the user order storage sub-module is used for storing order data, the order base number calculation module is used for calculating the average period single quantity base number data of the user orders, the base number control storage module is used for comparing and analyzing the order base number of the current period with the order base number of the previous period, and when the order base number of the current period is small, a control signal is sent to the user business inquiry module to inquire the business type of an order client, and the user is pushed regularly for business promotion advertisements, so that the client is reminded to place orders or select order placement work.
In a further embodiment, the order base number calculation module comprises an order number extraction module, a week order base number calculation module, a month order base number calculation module and a year order base number calculation module;
the order quantity extraction module is used for extracting various types of periodic order data information of a single user;
the week order base number calculating module is used for calculating the average single quantity base number in the corresponding week period;
the monthly order base number calculating module is used for calculating the average single quantity base number in the corresponding monthly period;
the annual order base number calculating module is used for calculating the average unit number base number in the corresponding annual period;
by utilizing the order quantity two-extraction module, the average order quantity base number calculation of weekly orders, monthly orders or annual orders can be carried out according to the order quantity of the user in a unit period, so that the change situation of the order quantity demand of the customer can be known conveniently.
In a further embodiment, the radix control storage module comprises an upper period radix extraction module and a radix comparison control module;
the last period base number extraction module is used for extracting the average single quantity base number information of the user in the last period, which is stored by the order base number classification storage module;
the base number comparison control module is used for extracting the user average single quantity base number data in the current period in the order base number calculation to be compared with the user average single quantity base number data in the previous period, and automatically sending a control signal to the user service query module when the average single quantity base number in the current period is smaller than the average single quantity base number in the previous period;
when the calculated periodic average single quantity base number is stored, the average single quantity base number in the period can be compared with the average single quantity base number in the previous period, and when the average single quantity base number in the period is reduced, the control signal can be sent to the user service query module through the base number comparison control module to query 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 implementation mode, the advertisement targeted 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 send to the user at regular intervals;
the advertisement classified storage module is used for classified storage of advertisements corresponding to various services;
through utilizing the classified storage module of the advertisement, the pushed advertisement that all kinds of business correspond in the storage enterprise of can being convenient for, when the average unit quantity cardinal number of this period of customer reduces, can send the advertisement for this customer automatically to realize the advertising to this customer, improve the advertising dynamics to this customer.
Please refer to fig. 6. An intelligent enterprise data analysis method comprises the following steps:
s1, inquiring user order information, and extracting order quantity information in the specified user order information;
s2, carrying out periodic statistics on the order quantity information, and calculating and storing average single quantity base information of each period;
s3, comparing the average single quantity base number of the previous period with the average single quantity data information of the current period, and controlling and inquiring the service type information of the corresponding user when the average single quantity base number information of the current period is smaller than the average single quantity base number of the previous period;
s4, according to the inquired service type information, regularly sending the push advertisement information corresponding to the service type to the appointed user;
when the enterprise data intelligent analysis method of the invention is used for analyzing the order of the client, the client can firstly carry out ordering operation on the service business in the enterprise, the system can automatically inquire and count the order quantity of the client in the period, calculate the average single quantity base data in each period and carry out comparison work of the average single quantity base data in each period, and when the average single quantity base data in the period is reduced, the method can be regularly sent to the client for advertisement promotion by utilizing the advertisement push service of the corresponding business so as to improve the propaganda strength of the enterprise client.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings and described in the specification are only used for matching with the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions under which the present invention can be implemented, so that the present invention has no technical significance, and any structural modification, ratio relationship change, or size adjustment should still fall within the scope of the present invention without affecting the efficacy and the achievable purpose of the present invention. In addition, the terms "upper", "lower", "left", "right", "middle" and "one" used in the present specification are for clarity of description, and are not intended to limit the scope of the present invention, and the relative relationship between the terms and the terms is not to be construed as a scope of the present invention.
The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.
Claims (6)
1. An enterprise data intelligent analysis system is characterized by comprising a user ordering module, a user order query module, a user order classification storage module, a user business query module and an advertisement directional pushing module;
the user ordering module is used for appointing a client to perform ordering operation to the enterprise through a user system;
the user order query module is used for querying 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 storing the user order data in a classification mode according to a periodic list;
the user service inquiry module is used for inquiring order service type data in the user order data;
and the advertisement directional pushing module is used for regularly pushing related business advertisement services to the user ordering module according to the user order business data.
2. The intelligent enterprise data analysis system of claim 1, wherein said customer order classification storage module comprises a customer 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 inquired user order quantity data information;
the order base number calculation module is used for calculating the average order base number information of the user order number data in unit cycle time;
the base number control storage module is used for comparing the order base number data of the period with the order base number information of the previous period and sending a control signal for reducing the order base number data to the user service inquiry module;
and the order base number classified storage module is used for classified storage of the user order base number data information of different set periods.
3. The system of claim 2, wherein said order base calculation module comprises an order quantity extraction module, a weekly order base calculation module, a monthly order base calculation module, and an annual order base calculation module;
the order quantity extraction module is used for extracting various types of periodic order data information of a single user;
the week order base number calculating module is used for calculating the average single quantity base number in the corresponding week period;
the monthly order base number calculating module is used for calculating the average single quantity base number in the corresponding monthly period;
and the annual order base number calculating module is used for calculating the average unit number base number in the corresponding annual period.
4. The system of claim 2, wherein said radix control storage module comprises an upper cycle radix extraction module and a radix comparison control module;
the last period base number extraction module is used for extracting the average single quantity base number information of the user in the last period, which is stored by the order base number classification storage module;
the base number comparison control module is used for extracting the user average single quantity base number data in the current period in the order base number calculation and comparing the user average single quantity base number data in the previous period, and automatically sending a control signal to the user service query module when the average single quantity base number in the current period is smaller than the average single quantity base number in the previous period.
5. The system for intelligently analyzing enterprise data according to claim 1, wherein the advertisement targeting 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 send to the user at regular intervals;
and the advertisement classified storage module is used for classified storage of advertisements corresponding to various services.
6. An intelligent enterprise data analysis method is characterized by comprising the following steps:
s1, inquiring user order information, and extracting order quantity information in the specified user order information;
s2, carrying out periodic statistics on the order quantity information, and calculating and storing average single quantity base information of each period;
s3, comparing the average single quantity base number of the previous period with the average single quantity data information of the current period, and controlling and inquiring the service type information of the corresponding user when the average single quantity base number information of the current period is smaller than the average single quantity base number of the previous period;
and S4, periodically sending the push advertisement information corresponding to the service type to the appointed user according to the inquired service type information.
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