CN112651632A - Information analysis processing method and device based on marketing data - Google Patents

Information analysis processing method and device based on marketing data Download PDF

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CN112651632A
CN112651632A CN202011567585.7A CN202011567585A CN112651632A CN 112651632 A CN112651632 A CN 112651632A CN 202011567585 A CN202011567585 A CN 202011567585A CN 112651632 A CN112651632 A CN 112651632A
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data
trend analysis
marketing
payment
oil station
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戴震
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Energy chain logistics technology Co.,Ltd.
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Chezhubang Beijing Technology Co Ltd
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    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0635—Risk analysis of enterprise or organisation activities
    • 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
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    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
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    • 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
    • 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
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/03—Credit; Loans; Processing thereof

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Abstract

The invention discloses an information analysis processing method and device based on marketing data, which comprises the following steps: acquiring historical transaction time data and historical order payment data of the oil station; the historical order payment data includes: at least one of transaction amount, payment method, and payment duration; generating a transaction record queue of the oil station according to the historical transaction time data, and obtaining marketing trend analysis data of the oil station according to the transaction record queue and the historical order payment data, wherein the marketing trend analysis data comprises: at least one of order quantity trend analysis data, transaction amount trend analysis data, and payment duration trend analysis data; and generating a service credibility index of the oil station according to the marketing trend analysis data, and providing effective data reference for accurately positioning a sales object and improving the capability of avoiding risks.

Description

Information analysis processing method and device based on marketing data
Technical Field
The invention relates to the technical field of data processing, in particular to an information analysis processing method and device based on marketing data.
Background
With the development of economic globalization and information technology, the traditional petroleum and petrochemical industry has come to the opportunity of industry upgrading, but simultaneously, the competition becomes more intense, the operation and profit space becomes smaller gradually, and the service and brand new marketing means become necessary means of petroleum sales enterprises.
How to effectively utilize marketing data to further improve the market competitiveness of enterprises and the capability of avoiding risks is the problem discussed by the invention.
Disclosure of Invention
The invention aims to provide an information analysis processing method and device based on marketing data, which can scientifically calculate the service reliability index of an oil station serving as a sales object and provide effective data reference for accurately positioning the sales object and improving the capability of avoiding risks.
In view of this, an embodiment of the present invention provides an information analysis processing method based on marketing data, where the information analysis processing method includes:
acquiring historical transaction time data and historical order payment data of the oil station; the historical order payment data comprises: at least one of transaction amount, payment method, and payment duration;
generating a transaction record queue of the oil station according to the historical transaction time data, and obtaining marketing trend analysis data of the oil station according to the transaction record queue, wherein the marketing trend analysis data comprises: at least one of order quantity trend analysis data, transaction amount trend analysis data, and payment duration trend analysis data;
and generating a service credibility index of the oil station according to the marketing trend analysis data.
Preferably, the method further comprises:
and when the service reliability index of the oil station is lower than a preset threshold value, generating transaction risk prompt information.
Preferably, the method further comprises:
and setting the allowable loan amount of each oil station as the total loanable amount upper limit of the order of the loan as the payment mode according to the service credibility index of the oil station.
Preferably, the acquiring historical transaction time data and historical order payment data of the oil station specifically includes:
receiving a query time interval of historical order payment data input by a user;
and querying historical transaction time data and historical order payment data of the oil station within the query time interval of the order creation time and/or the order completion time.
Preferably, the method further comprises:
and generating oil product purchase statistical information of the oil station and/or oil product sale statistical information of the refinery according to the historical transaction time data and the historical order payment data.
Preferably, the generating of the service reliability index of the oil station according to the marketing trend analysis data specifically includes:
and performing weighted average calculation according to the order quantity trend analysis data, the transaction amount trend analysis data and the payment duration trend analysis data to generate a service credibility index of the oil station.
Preferably, when there is missing data in the marketing trend analysis data, the method further comprises:
and assigning the missing data in the marketing trend analysis data according to the set reference value of the corresponding item.
A second aspect of the embodiments of the present invention provides an information analysis processing apparatus based on marketing data, including:
the acquisition module is used for acquiring historical transaction time data and historical order payment data of the oil station; the historical order payment data comprises: at least one of transaction amount, payment method, and payment duration;
the processing module is used for generating a transaction record queue of the oil station according to the historical transaction time data and obtaining marketing trend analysis data of the oil station according to the transaction record queue, wherein the marketing trend analysis data comprises: at least one of order quantity trend analysis data, transaction amount trend analysis data, and payment duration trend analysis data;
and generating a service credibility index of the oil station according to the marketing trend analysis data.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
The invention provides an information analysis processing method based on marketing data, which can scientifically calculate the service credibility index of an oil station serving as a sales object, quantitatively measure the credibility of service cooperation of the oil station through the service credibility index, and provide effective data reference for accurately positioning the sales object and improving the capability of avoiding risks.
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The technical solutions of the embodiments of the present invention are further described in detail with reference to the accompanying drawings and embodiments.
Fig. 1 is a flowchart of an information analysis processing method based on marketing data according to an embodiment of the present invention;
fig. 2 is a block diagram of an information analysis processing apparatus based on marketing data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an information analysis processing method based on marketing data, which can improve the market competitiveness of enterprises and the risk avoidance capability by utilizing the marketing data. Fig. 1 is a flowchart of an information analysis processing method based on marketing data according to an embodiment of the present invention, and the following first describes main method steps of the information analysis processing method based on marketing data according to the present invention with reference to fig. 1. As shown in fig. 1, the method of the present invention mainly comprises the following steps:
step 110, acquiring historical transaction time data and historical order payment data of the oil station;
specifically, the historical transaction time data includes: order creation time or order completion time, etc.
The historical order payment data includes: at least one of transaction amount, payment method, and payment duration.
In addition, optionally, the historical transaction time data or the historical order payment data may further include information such as oil station information, refinery information, oil type, oil transaction amount, payment completion status, and the like.
The payment method is described in particular here. The payment method may include: prepaid, pay-as-you-go, monthly and (credit) loans. Wherein prepayment means payment at the time of creating the order or before the order is shipped; pay-as-you-go refers to payment at the time of order delivery; monthly settlement refers to payment at a fixed settlement time specified each month; the (credit) loan is a special service provided for the credit of the user (oil station), and if a credit loan payment mode is selected at the time of order creation, a credit loan application to a bank is directly generated, and the transaction amount payment of the order is settled in the credit loan mode. And the oil station repays the credit loan through the platform service.
The historical transaction time data and the historical order payment data of the oil station can be acquired according to the query time interval, the information of the oil station or the refinery, and the payment mode, the type of the oil product or the payment completion state.
The following is specifically described in terms of query-time-interval-based acquisition:
receiving a query instruction and a query time interval of historical order payment data input by a user; and inquiring historical transaction time data and historical order payment data of the oil stations within an inquiry time interval according to the inquiry instruction and/or the order creation time and/or the order completion time. Of course, it may be preset or customized to perform query according to the order creation time or the order completion time, or it may be specified that two times are output as valid return values within the query time interval at the same time.
The transaction record for oil marketing is generated by order creation. When the order is created, an order record comprising order creation time, oil station information, refinery information, oil type, oil transaction amount, payment mode and the like is generated; and calculating to obtain the transaction amount according to the oil type, the oil transaction amount and the current oil price, and adding the transaction amount into the order record. The refinery information may not be input by the user, but automatically recommended by the system or selected by the user based on the recommendation.
After the order is delivered, the order completion time is monitored, the time when the order arrives at the destination is the order completion time, the order payment information is immediately generated, the payment duration is generated according to the time interval between the order completion time and the payment completion time, and the payment completion state is determined to be completed when the payment information is monitored.
Step 120, generating a transaction record queue of the oil station according to historical transaction time data, and obtaining marketing trend analysis data of the oil station according to the transaction record queue;
specifically, aiming at historical transaction time, for example, a transaction queue is generated according to order creation time or order completion time, the invention adopts a trend analysis method, and the changing trend of the marketing condition is explained by determining the increasing and decreasing changing direction, amount and amplitude of continuous same indexes, such as oil product transaction amount, payment duration and the like, in the transaction record queue. The independent variable of the trend analysis is time, and the obtained marketing trend analysis data comprises: one or more of order quantity trend analysis data, transaction amount trend analysis data and payment duration trend analysis data.
The above various analytical data were characterized for quantification. An objective function for each item of trend analysis data may be set in advance, and a deviation rate of the actual variation trend corresponding to each item from the objective function may be calculated as the item of trend analysis data.
For example, taking transaction amount trend analysis data as an example, the transaction amount is counted and counted by taking natural days as units, a graph of transaction amount accumulated data in an interval from 1 month to 10 months and 31 days in 2020 is generated according to the statistical data, and the slope of the trend line is obtained. And generating a curve graph of transaction amount reference accumulated data in an interval from 1 month and 1 day to 10 months and 31 days in 2020 by using a preset single-day reference transaction amount, and obtaining a reference slope, wherein the single-day reference transaction amount can be determined according to an industry daily average transaction level. And taking the ratio of the slope of the actual trend line to the reference slope as transaction amount trend analysis data.
The above algorithm is merely an example of practical application in one embodiment and is not intended to limit the present invention to calculate transaction amount trend analysis data in this manner. The specific calculation implementation of each item of analysis data can be carried out by those skilled in the art according to the actual requirements without creative labor.
And step 130, generating a service credibility index of the oil station according to the marketing trend analysis data.
Specifically, according to a preset algorithm, weighted average calculation can be performed on order quantity trend analysis data, transaction amount trend analysis data and payment duration trend analysis data, so as to generate a service credibility index of the oil station.
In a specific preferred example, the order quantity trend analysis data, the transaction amount trend analysis data and the payment duration trend analysis data are 25% of each other.
When missing data exists in the marketing trend analysis data, assignment processing can be carried out on the missing data according to the set reference value of the corresponding item. For example, in the case of using the ratio of the slope of the actual trend line to the reference slope as transaction amount trend analysis data, if the amount trend analysis data is missing, the term may be assigned with 1, i.e., assuming that the slope of the actual trend line is the same as the reference slope. Similarly, the above is merely an example of the practical application in one embodiment, and is not intended to limit the present invention to perform assignment processing on missing data only in this way.
According to the information analysis processing method based on marketing data, the obtained service reliability index can be used for quantitatively measuring the reliability of the service cooperation of the oil station, and an effective data basis is provided for accurately positioning a sales object and improving the capability of avoiding risks.
Specifically, a preset threshold of the service reliability may be set in a user-defined manner, or the preset threshold of the service reliability may be set according to the service reliability indexes of all the oil stations and according to the numerical values of the middle positions or 75% of the decimals in the sequence from high to low.
When the service reliability index of one oil station is lower than a preset threshold value, transaction risk prompt information is automatically generated; the transaction risk prompt message comprises the oil station information of the oil station. And certainly, each item of specific business data can be further inquired by inquiring the transaction risk prompt information.
A business credibility index below a preset threshold value indicates a problem with one or more of payment method, payment period, payment achievement rate, subscription amount and subscription volume, thus suggesting a certain business cooperation risk.
The service credibility index of the oil station can also be used as a basis for calculating the allowable loan amount of the credit loan payment mode. The allowable loan amount of each oil station can be set according to the service credibility index of the oil station, and the allowable loan amount is used as the upper limit of the total loan amount of the order of the loan in the payment mode. This allowable loan amount may be calculated and adjusted periodically.
In addition, according to the historical transaction time data and the historical order payment data of the invention, oil product purchase statistical information of the oil station and/or oil product sale statistical information of the refinery and the like can be generated so as to analyze the cooperative relationship between the oil station and the refinery and the like.
The information analysis processing method based on the marketing data can scientifically calculate the service credibility index of the oil station serving as the sales object, quantitatively measure the credibility of the service cooperation of the oil station through the service credibility index, and provide effective data reference for accurately positioning the sales object and improving the capability of avoiding risks.
Fig. 2 is a block diagram of an information analysis processing apparatus based on marketing data according to an embodiment of the present invention, where the apparatus may be an apparatus, such as a system on a chip, capable of implementing the method according to embodiment 1 of the present invention. As shown in fig. 2, the apparatus includes:
the acquisition module 201 is used for acquiring historical transaction time data and historical order payment data of the oil station; the historical order payment data comprises: at least one of transaction amount, payment method, and payment duration;
the processing module 202 is configured to generate a transaction record queue of the oil station according to the historical transaction time data, and obtain marketing trend analysis data of the oil station according to the transaction record queue, where the marketing trend analysis data includes: at least one of order quantity trend analysis data, transaction amount trend analysis data, and payment duration trend analysis data;
and generating a business credibility index of the oil station according to the marketing trend analysis data.
In a specific implementation manner provided in this embodiment, the processing module 202 is further configured to:
and when the credibility index of the oil station is lower than a preset threshold value, generating transaction risk prompt information.
In another specific implementation manner provided in this embodiment, the processing module 202 is further configured to:
and setting the allowable loan amount of each oil station according to the service credibility index of the oil station, wherein the allowable loan amount is used as the total loanable amount upper limit of the order of the loan as the payment mode.
In another specific implementation manner provided in this embodiment, the obtaining module 201 is specifically configured to:
receiving a query time interval of historical order payment data input by a user;
and querying historical transaction time data and historical order payment data of the oil station within the query time interval of the order creation time and/or the order completion time.
In another specific implementation manner provided in this embodiment, the processing module 202 is further configured to:
and generating oil product purchase statistical information of the oil station and/or oil product sale statistical information of the refinery according to the historical transaction time data and the historical order payment data.
In another specific implementation manner provided in this embodiment, the processing module 202 is further configured to:
and performing weighted average calculation according to the order quantity trend analysis data, the transaction amount trend analysis data and the payment duration trend analysis data to generate a service credibility index of the oil station.
In another specific implementation manner provided in this embodiment, when there is missing data in the marketing trend analysis data, the processing module 202 is further configured to:
and assigning the missing data in the marketing trend analysis data according to the set reference value of the corresponding item.
The information analysis processing device based on marketing data provided by the embodiment of the invention can execute the method steps in the method embodiments, and the implementation principle and the technical effect are similar, and are not repeated herein.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). DVD), or semiconductor media (e.g., Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, the electronic device 300 may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing method steps performed by the electronic device of embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 34, a system bus 35, and a communication port 36. The system bus 35 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for running the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product, which includes a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (9)

1. An information analysis processing method based on marketing data is characterized by comprising the following steps:
acquiring historical transaction time data and historical order payment data of the oil station; the historical order payment data comprises: at least one of transaction amount, payment method, and payment duration;
generating a transaction record queue of the oil station according to the historical transaction time data, and obtaining marketing trend analysis data of the oil station according to the transaction record queue and the historical order payment data, wherein the marketing trend analysis data comprises: at least one of order quantity trend analysis data, transaction amount trend analysis data, and payment duration trend analysis data;
and generating a service credibility index of the oil station according to the marketing trend analysis data.
2. The marketing data-based information analysis processing method according to claim 1, further comprising:
and when the service reliability index of the oil station is lower than a preset threshold value, generating transaction risk prompt information.
3. The marketing data-based information analysis processing method according to claim 1, further comprising:
and setting the allowable loan amount of each oil station according to the service credibility index of the oil station, wherein the allowable loan amount is used as the total loanable amount upper limit of the order of the loan as the payment mode.
4. The marketing data-based information analysis processing method according to claim 1, further comprising:
and generating oil product purchase statistical information of the oil station and/or oil product sale statistical information of the refinery according to the historical transaction time data and the historical order payment data.
5. The method for analyzing and processing information based on marketing data according to claim 1, wherein the generating of the service reliability index of the oil station according to the marketing trend analysis data specifically comprises:
and performing weighted average calculation according to the order quantity trend analysis data, the transaction amount trend analysis data and the payment duration trend analysis data to generate a service credibility index of the oil station.
6. The marketing data-based information analysis processing method according to claim 1, wherein when there is missing data in the marketing trend analysis data, the method further comprises:
and assigning the missing data in the marketing trend analysis data according to the set reference value of the corresponding item.
7. An information analysis processing apparatus based on marketing data, the apparatus comprising:
the acquisition module is used for acquiring historical transaction time data and historical order payment data of the oil station; the historical order payment data comprises: at least one of transaction amount, payment method, and payment duration;
the processing module is used for generating a transaction record queue of the oil station according to the historical transaction time data and obtaining marketing trend analysis data of the oil station according to the transaction record queue and the historical order payment data, wherein the marketing trend analysis data comprises: at least one of order quantity trend analysis data, transaction amount trend analysis data, and payment duration trend analysis data;
and the processing module is also used for generating a service credibility index of the oil station according to the marketing trend analysis data.
8. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of claims 1-6;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
9. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any one of claims 1-6.
CN202011567585.7A 2020-12-25 2020-12-25 Information analysis processing method and device based on marketing data Pending CN112651632A (en)

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