Data analysis method and data analysis device

Abstract

The invention discloses a data analysis method and a data analysis device, and relates to the technical field of data analysis. The invention comprises hotel type screening, competitive hotel research, target hotel analysis, pricing information adjustment and status prompting. The competitive hotels are obtained by screening, and then the overall evaluation coefficients of the competitive hotels corresponding to the rooms of the competitive hotels and the experience evaluation coefficients of the target hotels corresponding to the rooms of the target hotels are analyzed, and the target hotels corresponding to the rooms of the reduced-rate types and the rooms of the increased-rate types are obtained, and the price adjustment values ​​of the target hotels corresponding to the rooms of the reduced-rate types and the rooms of the increased-rate types are calculated, so as to help the target hotels to implement accurate price strategy regulation, so as to better cater to the hotel development market and improve the corresponding competitiveness of the target hotels. Meanwhile, the data analysis technology realizes efficient hotel data monitoring and analysis, and then provides effective regulation data basic support for the target hotels.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to a data analysis method and a data analysis device. Background Art

[0002] As data analysis technology is gradually applied to hotel operations, hotel operations have received effective technical support. Data analysis technology monitors and analyzes the hotel's corresponding market competition data and accommodation demand data in real time, so as to adjust its pricing strategy in a timely manner, achieve effective transformation, improve the market competitiveness of its own hotel operations, ensure the maximization of hotel marketing benefits, gain more customers' likes, improve its reputation, and further develop itself.

[0003] Current technology mainly monitors hotel operations through manual data monitoring. Compared with data analysis technology, this manual monitoring method is relatively inconvenient, with low monitoring efficiency, and cannot guarantee the diversity and comprehensiveness of hotel monitoring data. It cannot provide effective data basis support for hotels to improve and change themselves, and thus the hotel’s marketing benefits cannot be maximized, and it cannot effectively improve its market competitiveness and achieve efficient development. At the same time, it also increases the monitoring burden of hotel monitoring personnel. Summary of the invention

[0004] In view of the above-mentioned technical deficiencies, an object of the present invention is to provide a data analysis method and a data analysis device.

[0005] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a data analysis method, including: Step 1, hotel type screening: obtaining the business type and location corresponding to each hotel in the scenic area, and comparing them with the business type and location corresponding to the target hotel, and screening out each competing hotel.

[0006] Step 2: Research on competing hotels: Research the information on each tour guide's booking of each type of room in each competing hotel, including comfort, booking price, and evaluation information, and then analyze and obtain the overall evaluation coefficient of each type of room in each competing hotel. The highest-ranked overall evaluation coefficient is extracted as the reference overall evaluation coefficient of each type of room in each competing hotel.

[0007] Step 3: Target hotel analysis: Obtain the room information corresponding to each type of the target hotel ordered by each tour guide, including the type price and experience information, and then analyze to obtain the experience evaluation coefficient of each type of room in the target hotel, and compare it with the overall evaluation coefficient of each type of room in each competing hotel, and then compare to obtain the target hotel's corresponding reduced-rate room type and the target hotel's corresponding increased-rate room type.

[0008] Step 4: Adjust pricing information: Based on the experience evaluation coefficient of each type of room in the target hotel, calculate the price adjustment value of the target hotel's corresponding price reduction for each type of room with a reduced amount and the price adjustment value of the target hotel's corresponding price increase for each type of room with an increased amount.

[0009] Step 5: Status display: used to display the overall evaluation coefficients of each type of room of each highest-ranked competing hotel, and to display each type of reduced-rate room and each type of increased-rate room.

[0010] Preferably, the screening obtains the competing hotels, and the specific screening process is as follows: the business type set corresponding to each hotel is compared with the business type set corresponding to the target hotel, and the location corresponding to each hotel is compared with the location set corresponding to the target hotel. If the business type set corresponding to a hotel is in the business type set corresponding to the target hotel, and the location corresponding to a hotel is in the location set corresponding to the target hotel, then the hotel is recorded as a competing hotel, so as to obtain the competing hotels.

[0011] Preferably, the analysis obtains the overall evaluation coefficient of each type of room in each competing hotel. The specific analysis process is as follows: according to the sound insulation quality and the number of facilities of each type of room in each competing hotel ordered by each tour guide, the comfort evaluation coefficient of each type of room in each competing hotel is calculated and recorded as Z dj , d represents the number corresponding to each competing hotel, d=1,2....n, n is any integer greater than 2, j represents the number corresponding to each type of room, j=1,2....p, p is any integer greater than 2.

[0012] According to the number of favorable comments and repurchase times of each tour guide for each type of room in each competing hotel, the evaluation coefficient of each type of room in each competing hotel is calculated and recorded as

[0013] By calculating the formula The analysis yields the survey evaluation coefficient β of the dth target tour group guide corresponding to the jth target hotel. dj , a1, a2, a3 are the weight factors of comfort evaluation coefficient, ordering evaluation coefficient, and price, respectively, 0<a1<1, 0<a2<1, 0<a3<1, η′ is the reference predetermined price, η igdj The reserved price for the j-th type of room ordered by the ith tour guide for the g-th time at the d-th competing hotel, i=1,2...r, i represents the number corresponding to each tour guide, r is any integer greater than 2, g=1,2...y, g represents the number corresponding to each order, y is any integer greater than 2.

[0014] Preferably, the calculation obtains the comfort evaluation coefficient of each type of room in each competing hotel, and the specific analysis process is as follows: through the calculation formula,

[0015] Calculate the comfort evaluation coefficient Z of the j-th room type corresponding to the d-th competing hotel dj , k′ is the reference sound insulation quality and the number of facilities, k igdj is the sound insulation quality of the j-th type of room corresponding to the d-th competitive hotel ordered by the ith tour guide for the g-th time, x′ is the set number of reference facilities, xigdj is the number of facilities corresponding to the j-th type of room of the d-th competitive hotel ordered by the ith tour guide for the g-th time, c1 and c2 are the set weight factors of the sound insulation quality and the weight factors of the number of facilities, respectively, 0<c1<1, 0<c2<1.

[0016] Preferably, the calculation obtains the evaluation coefficient of each type of room of each competing hotel, and the specific calculation process is as follows: Calculate the evaluation coefficient of the j-th room type corresponding to the d-th competing hotel w′ is the set reference number of positive reviews, w igdj is the number of favorable comments for the jth type of room ordered by the ith tour guide for the gth time at the dth competitive hotel, μ′ is the set reference repurchase number, and μ igdj is the number of repurchases for the j-th type of room ordered by the ith tour guide for the g-th time at the d-th competing hotel. s1 and s2 are the weight factors of the set number of positive reviews and the weight factor of the number of repurchases, respectively, 0<s1<1, 0<s2<1.

[0017] Preferably, the analysis obtains the experience evaluation coefficients of the target hotel corresponding to each type of room. The specific analysis process is as follows: according to the room area and air quality of each type of room ordered by each tour guide, the experience evaluation coefficients of the target hotel corresponding to each type of room are calculated and recorded as t represents the number of rooms of each type in the target hotel, t=1,2....σ, σ is any integer greater than 2.

[0018] By calculating the formula The analysis yields the experience evaluation coefficient θ of the target hotel corresponding to the t-th type of room t , ξ′ is the reference type price, ξ igt is the type price of the t-th type room of the target hotel ordered by the i-th tour guide for the g-th time, λ1 and λ2 are the weight factors of the set feeling evaluation coefficient and the type price respectively, 0<λ1<1, 0<λ2<1, i represents the number corresponding to each tour guide, r is any integer greater than 2, g=1,2......y, g represents the number corresponding to each order, y is any integer greater than 2.

[0019] Preferably, the analysis obtains the perception evaluation coefficient of each type of room in the target hotel. The specific analysis process is as follows: Analyze and obtain the perception evaluation coefficient of the target hotel corresponding to the tth type of room f′ is the set reference room area, h′ is the set reference air quality, f igt is the room area of ​​the t-th type of room corresponding to the g-th order of the target hotel by the i-th tour guide, h igt is the air quality of the t-th type of room corresponding to the g-th order of the target hotel by the ith tour guide. ν1 and ν2 are the weight factors of the set room area and air quality, respectively, 0<ν1<1, 0<ν2<1.

[0020] Preferably, the comparison obtains the target hotel's corresponding rooms of each reduced-rate type and the target hotel's corresponding rooms of each increased-rate type. The specific comparison process is as follows: compare the experience evaluation coefficient of the target hotel's corresponding rooms of each type with the reference overall evaluation coefficient of the competing hotels' corresponding rooms of each type. If the target hotel's corresponding room of a certain type has an experience evaluation coefficient that is smaller than the competing hotel's corresponding room of that type's reference overall evaluation coefficient, the target hotel's corresponding room of that type is recorded as a reduced-rate type room, thereby obtaining the target hotel's corresponding rooms of each reduced-rate type. If the target hotel's corresponding room of a certain type has an experience evaluation coefficient that is equal to the competing hotel's corresponding room of that type's reference overall evaluation coefficient, then it is determined that the price of that type of room does not need to be changed. If the target hotel's corresponding room of a certain type has an experience evaluation coefficient that is larger than the competing hotel's corresponding room of that type's reference overall evaluation coefficient, the target hotel's corresponding room of that type is recorded as an increased-rate type room, thereby obtaining the target hotel's corresponding rooms of each increased-rate type.

[0021] Preferably, the price adjustment values ​​of the price reduction of each deduction type room of the target hotel and the price increase of each increase type room of the target hotel are calculated, and the specific calculation process is as follows: the reference overall evaluation coefficient of each type of room of each competing hotel is subtracted from the experience evaluation coefficient of each type of room of the target hotel to obtain the coefficient difference. If the coefficient difference is too large, the corresponding price reduction of each deduction type room of the target hotel and the price increase of each increase type room of the target hotel are performed;

[0022] Compare the experience evaluation coefficient of each deduction type room of the target hotel with the experience evaluation coefficient corresponding to the price reduction stored in the database. If the experience evaluation coefficient of a certain deduction type room of the target hotel is the same as the experience evaluation coefficient corresponding to the price reduction stored in the database, use the price reduction as the price reduction of the room of the target hotel corresponding to the certain deduction type, thereby obtaining the price reduction of each deduction type room of the target hotel, and using it as the price adjustment value of each deduction type room of the target hotel;

[0023] The experience evaluation coefficient corresponding to each incremental type of room of the target hotel is compared with the experience evaluation coefficient corresponding to the price appreciation stored in the database. If the experience evaluation coefficient corresponding to a certain incremental type of room of the target hotel is the same as the experience evaluation coefficient corresponding to the price appreciation stored in the database, then the price appreciation is used as the price appreciation corresponding to the certain incremental type of room of the target hotel, thereby obtaining the price appreciation corresponding to each incremental type of room of the target hotel, and using it as the price adjustment value corresponding to each incremental type of room of the target hotel.

[0024] In a second aspect, the present invention provides a data analysis device, comprising: a hotel type screening module, for obtaining the business type and location corresponding to each hotel in a scenic area, and screening each competing hotel.

[0025] The competitive hotel research module analyzes and obtains the overall evaluation coefficients of each competitive hotel corresponding to each type of room, and extracts the highest-ranked overall evaluation coefficient as the reference overall evaluation coefficient of each competitive hotel corresponding to each type of room.

[0026] The target hotel analysis module analyzes and obtains the experience evaluation coefficient of each type of room in the target hotel, and compares it with the reference overall evaluation coefficient of each type of room in each competing hotel, and then obtains the target hotel's corresponding reduced-rate type room and the target hotel's corresponding increased-rate type room.

[0027] The pricing information adjustment module is used to calculate the price reduction of each deduction type room of the target hotel and the price increase of each increase type room of the target hotel according to the experience evaluation coefficient of each type of room of the target hotel.

[0028] The status display module is used to display the overall evaluation coefficients of each type of room corresponding to each highest-ranked competing hotel, and to display each type of room with a reduced amount and each type of room with an increased amount.

[0029] Compared with the prior art, the beneficial effects of the present invention are as follows: the present invention provides a data analysis method and a data analysis device, which obtain each competing hotel by screening, and then analyze the overall evaluation coefficient of each type of room corresponding to each competing hotel, and compare them with the experience evaluation coefficient of each type of room corresponding to the target hotel, obtain each reduction type room corresponding to the target hotel, each increase type room corresponding to the target hotel, and calculate the price adjustment value of each reduction type room corresponding to the target hotel and each increase type room corresponding to the target hotel, so as to help the target hotel to implement accurate price strategy regulation, and then better cater to the hotel development market, improve the corresponding competitiveness of the target hotel, solve the shortcomings in the current technology, and at the same time, the data analysis technology realizes efficient hotel data monitoring and analysis, which can effectively reduce the monitoring burden of hotel monitoring personnel, and timely provide effective control data basic support for the target hotel, ensure the maximization of the target hotel's business profit, improve users' preference for the target hotel and the reputation of the operation, and achieve comprehensive improvement of the target hotel's operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0031] Figure 1 The present invention is a schematic flow chart of the steps for implementing the method.

[0032] Figure 2 It is a schematic diagram of the structural connection of the device of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Step 1: Hotel type screening: Obtain the business type and location of each hotel in the scenic area, and compare them with the business type and location of the target hotel to screen out competing hotels.

[0035] It should be noted that the business type and location of other hotels in the scenic area can be queried using the search software.

[0036] As an optional implementation method, the screening obtains the competing hotels, and the specific screening process is as follows: the business type set corresponding to each hotel is compared with the business type set corresponding to the target hotel, and the location corresponding to each hotel is compared with the location set corresponding to the target hotel. If the business type set corresponding to a hotel is in the business type set corresponding to the target hotel, and the location corresponding to a hotel is in the location set corresponding to the target hotel, then the hotel is recorded as a competing hotel, so as to obtain the competing hotels.

[0037] Step 2: Research on competing hotels: Research the information on each tour guide's booking of each type of room in each competing hotel, including comfort, booking price, and evaluation information, and then analyze and obtain the overall evaluation coefficient of each type of room in each competing hotel. The highest-ranked overall evaluation coefficient is extracted as the reference overall evaluation coefficient of each type of room in each competing hotel.

[0038] It should be noted that comfort includes sound insulation quality, number of facilities, and evaluation information includes number of positive reviews and number of repurchases.

[0039] It should also be noted that each tour guide is invited to fill in the corresponding hotel booking survey questionnaire, which is sent after completion, and then the information of each tour guide's booking of each type of room in each competing hotel is received.

[0040] As an optional implementation, the analysis obtains the overall evaluation coefficient of each type of room in each competing hotel. The specific analysis process is as follows: according to the sound insulation quality and the number of facilities of each type of room in each competing hotel ordered by each tour guide, the comfort evaluation coefficient of each type of room in each competing hotel is calculated, which is recorded as Z dj , d represents the number corresponding to each competing hotel, d=1,2....n, n is any integer greater than 2, j represents the number corresponding to each type of room, j=1,2....p, p is any integer greater than 2;

[0041] According to the number of favorable comments and repurchase times of each tour guide for each type of room in each competing hotel, the evaluation coefficient of each type of room in each competing hotel is calculated and recorded as

[0042] By calculating the formula The analysis yields the survey evaluation coefficient β of the dth target tour group guide corresponding to the jth target hotel. dj , a1, a2, a3 are the weight factors of comfort evaluation coefficient, ordering evaluation coefficient, and price, respectively, 0<a1<1, 0<a2<1, 0<a3<1, η′ is the reference predetermined price, η igdjThe reserved price for the j-th type of room ordered by the ith tour guide for the g-th time at the d-th competing hotel, i=1,2...r, i represents the number corresponding to each tour guide, r is any integer greater than 2, g=1,2...y, g represents the number corresponding to each order, y is any integer greater than 2.

[0043] As an optional implementation, the calculation obtains the comfort evaluation coefficient of each type of room in each competing hotel. The specific analysis process is as follows: By calculating the formula,

[0044] Calculate the comfort evaluation coefficient Z of the j-th room type corresponding to the d-th competing hotel dj , k′ is the reference sound insulation quality and the number of facilities, k igdj is the sound insulation quality of the j-th type of room corresponding to the d-th competitive hotel ordered by the ith tour guide for the g-th time, x′ is the set number of reference facilities, xigdj is the number of facilities corresponding to the j-th type of room of the d-th competitive hotel ordered by the ith tour guide for the g-th time, c1 and c2 are the set weight factors of the sound insulation quality and the weight factors of the number of facilities, respectively, 0<c1<1, 0<c2<1.

[0045] As an optional implementation, the evaluation coefficients of each type of room in each competing hotel are obtained by calculation. The specific calculation process is as follows: Calculate the evaluation coefficient of the j-th room type corresponding to the d-th competing hotel w′ is the set reference number of positive reviews, w igdj is the number of favorable comments for the jth type of room ordered by the ith tour guide for the gth time at the dth competitive hotel, μ′ is the set reference repurchase number, and μ igdj is the number of repurchases for the j-th type of room ordered by the ith tour guide for the g-th time at the d-th competing hotel. s1 and s2 are the weight factors of the set number of positive reviews and the weight factor of the number of repurchases, respectively, 0<s1<1, 0<s2<1.

[0046] Step 3: Target hotel analysis: Obtain the room information of each type of target hotel ordered by each tour guide, including the type price and experience information, and then analyze and obtain the experience evaluation coefficient of each type of room of the target hotel, and compare it with the overall evaluation coefficient of each type of room of each competing hotel, and then obtain the room of each type of reduction and the room of each type of increase corresponding to the target hotel;

[0047] It should also be noted that the perception information includes room area and air quality.

[0048] It should be noted that the information of each type of room corresponding to each target hotel ordered by each tour guide is obtained from the hotel management center, and the air quality is obtained through a gas detector and then uploaded to the hotel management center.

[0049] As an optional implementation, the analysis obtains the experience evaluation coefficients of the target hotel corresponding to each type of room. The specific analysis process is as follows: According to the room area and air quality of each type of room of the target hotel, the experience evaluation coefficients of each type of room of the target hotel are calculated and recorded as t represents the number of rooms of each type in the target hotel, t=1,2....σ, σ is any integer greater than 2;

[0050] According to the room area and air quality of each type of room in the target hotel ordered by each tour guide, the perception evaluation coefficient of each type of room in the target hotel is calculated and recorded as t represents the number of rooms of each type in the target hotel, t=1,2....σ, σ is any integer greater than 2;

[0051] By calculating the formula The analysis yields the experience evaluation coefficient θ of the target hotel corresponding to the t-th type of room t , ξ′ is the reference type price, ξ igt is the type price of the t-th type room of the target hotel ordered by the i-th tour guide for the g-th time, λ1 and λ2 are the weight factors of the set feeling evaluation coefficient and the type price respectively, 0<λ1<1, 0<λ2<1, i represents the number corresponding to each tour guide, r is any integer greater than 2, g=1,2......y, g represents the number corresponding to each order, y is any integer greater than 2.

[0052] As an optional implementation, the analysis obtains the perception evaluation coefficient of each type of room in the target hotel. The specific analysis process is as follows: By calculating the formula Analyze and obtain the perception evaluation coefficient of the target hotel corresponding to the tth type of room f′ is the set reference room area, h′ is the set reference air quality, f igt is the room area of ​​the t-th type of room corresponding to the g-th order of the target hotel by the i-th tour guide, h igt is the air quality of the t-th type of room corresponding to the g-th order of the target hotel by the ith tour guide. ν1 and ν2 are the weight factors of the set room area and air quality, respectively, 0<ν1<1, 0<ν2<1.

[0053] As an optional implementation, the comparison obtains the target hotel's corresponding rooms of various reduced-rate types and the target hotel's corresponding rooms of various increased-rate types. The specific comparison process is as follows: compare the experience evaluation coefficient of the target hotel's corresponding rooms of various types with the reference overall evaluation coefficient of the competing hotels' corresponding rooms of various types. If the target hotel's corresponding room of a certain type has an experience evaluation coefficient that is smaller than the competing hotel's corresponding room of this type's reference overall evaluation coefficient, the target hotel's corresponding room of this type is recorded as a reduced-rate type room, thereby obtaining the target hotel's corresponding rooms of various reduced-rate types. If the target hotel's corresponding room of a certain type has an experience evaluation coefficient that is equal to the competing hotel's corresponding room of this type's reference overall evaluation coefficient, then it is determined that the price of this type of room does not need to be changed. If the target hotel's corresponding room of a certain type has an experience evaluation coefficient that is larger than the competing hotel's corresponding room of this type's reference overall evaluation coefficient, the target hotel's corresponding room of this type is recorded as an increased-rate type room, thereby obtaining the target hotel's corresponding rooms of various increased-rate types.

[0054] Step 4: Adjust pricing information: Based on the experience evaluation coefficients of the target hotel's corresponding rooms of each type, calculate the price adjustment values ​​of the target hotel's corresponding rooms of each type with reduced amounts and the price adjustment values ​​of the target hotel's corresponding rooms of each type with increased amounts;

[0055] As an optional implementation, the price adjustment value of the price reduction corresponding to each deduction type room of the target hotel and the price increase corresponding to each increase type room of the target hotel is calculated, and the specific calculation process is as follows: the reference overall evaluation coefficient corresponding to each type of room of each competing hotel is subtracted from the experience evaluation coefficient corresponding to each type of room of the target hotel to obtain the coefficient difference. If the coefficient difference is too large, the price reduction corresponding to each deduction type room of the corresponding target hotel and the price increase corresponding to each increase type room of the target hotel are performed;

[0056] Compare the experience evaluation coefficient of each deduction type room of the target hotel with the experience evaluation coefficient corresponding to the price reduction stored in the database. If the experience evaluation coefficient of a certain deduction type room of the target hotel is the same as the experience evaluation coefficient corresponding to the price reduction stored in the database, use the price reduction as the price reduction of the room of the target hotel corresponding to the certain deduction type, thereby obtaining the price reduction of each deduction type room of the target hotel, and using it as the price adjustment value of each deduction type room of the target hotel;

[0057] The experience evaluation coefficient corresponding to each incremental type of room of the target hotel is compared with the experience evaluation coefficient corresponding to the price appreciation stored in the database. If the experience evaluation coefficient corresponding to a certain incremental type of room of the target hotel is the same as the experience evaluation coefficient corresponding to the price appreciation stored in the database, then the price appreciation is used as the price appreciation corresponding to the certain incremental type of room of the target hotel, thereby obtaining the price appreciation corresponding to each incremental type of room of the target hotel, and using it as the price adjustment value corresponding to each incremental type of room of the target hotel.

[0058] Step 5: Status display: used to display the overall evaluation coefficients of each type of room of each highest-ranked competing hotel, and to display each type of reduced-rate room and each type of increased-rate room.

[0059] See also Figure 2 As shown, a data analysis device includes a hotel type screening module, a competitive hotel research module, a target hotel analysis module, a pricing information adjustment module and a status display module.

[0060] The hotel type screening module is connected to the competitive hotel research module and the target hotel analysis module respectively, and the status display module is connected to the competitive hotel research module, the target hotel analysis module and the pricing information adjustment module respectively.

[0061] The hotel type screening module is used to obtain the business type and location of each hotel in the scenic area and screen out competing hotels;

[0062] The competitive hotel research module analyzes and obtains the overall evaluation coefficients of each competitive hotel corresponding to each type of room, and extracts the highest-ranked overall evaluation coefficients as the reference overall evaluation coefficients of each competitive hotel corresponding to each type of room;

[0063] The target hotel analysis module analyzes and obtains the experience evaluation coefficients of the target hotel's corresponding rooms of various types, and compares them with the reference overall evaluation coefficients of the corresponding rooms of various types of competing hotels, and then obtains the target hotel's corresponding rooms of various types of reduced amounts and the target hotel's corresponding rooms of various types of increased amounts;

[0064] A pricing information adjustment module is used to calculate the price reduction of each type of room of the target hotel and the price increase of each type of room of the target hotel according to the experience evaluation coefficient of each type of room of the target hotel;

[0065] The status display module is used to display the overall evaluation coefficients of each type of room corresponding to each highest-ranked competing hotel, and to display each type of room with a reduced amount and each type of room with an increased amount.

[0066] The present invention provides a specific embodiment, which obtains each competing hotel by screening, and then analyzes the overall evaluation coefficient of each type of room corresponding to each competing hotel, and compares them with the experience evaluation coefficient of each type of room corresponding to the target hotel, so as to obtain each deduction type room corresponding to the target hotel and each increase type room corresponding to the target hotel, and calculates the price adjustment value of each deduction type room corresponding to the target hotel and each increase type room corresponding to the target hotel, so as to help the target hotel to implement accurate price strategy regulation, so as to better cater to the hotel development market, improve the corresponding competitiveness of the target hotel, solve the deficiencies in the current technology, and at the same time, the data analysis technology realizes efficient hotel data monitoring and analysis, which can effectively reduce the monitoring burden of hotel monitoring personnel, timely provide effective control data basic support for the target hotel, ensure the maximization of the target hotel's business profit acquisition, improve users' preference for the target hotel and the reputation of the operation, and realize the comprehensive improvement of the operation of the target hotel.

[0067] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they shall all fall within the protection scope of the present invention.

Claims

1. A data analysis method, characterized in that: include: Step 1: Hotel type screening: Obtain the business type and location of each hotel in the scenic area, and compare them with the business type and location of the target hotel to screen out competing hotels; The screening process is as follows: Compare the business type set corresponding to each hotel with the business type set corresponding to the target hotel, and compare the location corresponding to each hotel with the location set corresponding to the target hotel. If the business type set corresponding to a hotel is in the business type set corresponding to the target hotel, and the location corresponding to a hotel is in the location set corresponding to the target hotel, then record the hotel as a competing hotel, thereby obtaining each competing hotel; Step 2: Competitive hotel research: by researching the information of each tour guide's booking of each type of room in each competitive hotel, including comfort, booking price, and evaluation information, the overall evaluation coefficient of each type of room in each competitive hotel is obtained through analysis, and the highest-ranked overall evaluation coefficient is extracted as the reference overall evaluation coefficient of each type of room in each competitive hotel; The above analysis obtains the overall evaluation coefficient of each type of room in each competing hotel. The specific analysis process is as follows: According to the sound insulation quality and the number of facilities of each type of room in each competing hotel booked by each tour guide, the comfort evaluation coefficient of each type of room in each competing hotel is calculated, which is recorded as Z dj , d represents the number corresponding to each competing hotel, d=1,2....n, n is any integer greater than 2, j represents the number corresponding to each type of room, j=1,2....p, p is any integer greater than 2; According to the number of favorable comments and repurchase times of each tour guide for each type of room in each competing hotel, the evaluation coefficient of each type of room in each competing hotel is calculated and recorded as By calculating the formula The analysis yields the survey evaluation coefficient β of the dth target tour group guide corresponding to the jth target hotel. dj , a1, a2, a3 are the weight factors of comfort evaluation coefficient, ordering evaluation coefficient, and price, respectively, 0<a1<1, 0<a2<1, 0<a3<1, η′ is the reference predetermined price, η igdj The reserved price for the jth type of room of the dth competitive hotel ordered by the i-th tour guide for the g-th time, i=1,2...r, i represents the number corresponding to each tour guide, r is any integer greater than 2, g=1,2...y, g represents the number corresponding to each order, y is any integer greater than 2; The calculation obtains the comfort evaluation coefficient of each type of room in each competing hotel. The specific analysis process is as follows: By calculating the formula, Calculate the comfort evaluation coefficient Z of the j-th room type corresponding to the d-th competing hotel dj , k′ is the reference sound insulation quality and the number of facilities, k igdj is the sound insulation quality of the jth type of room corresponding to the dth competitive hotel ordered by the ith tour guide for the gth time, x′ is the number of reference facilities set, x igdj The number of facilities corresponding to the j-th type of room for the i-th tour guide's g-th order at the d-th competing hotel, c1 and c2 are the weight factors of the sound insulation quality and the number of facilities, respectively, 0<c1<1, 0<c2<1; The calculation obtains the evaluation coefficients of each type of room of each competing hotel, and the specific calculation process is as follows: By calculating the formula Calculate the evaluation coefficient of the j-th room type corresponding to the d-th competing hotel w′ is the set reference number of positive reviews, w igdj is the number of favorable comments for the jth type of room ordered by the ith tour guide for the gth time in the dth competitive hotel, μ′ is the set reference repurchase number, and μ igdj is the number of repurchases for the jth type of room ordered by the ith tour guide for the gth time at the dth competing hotel, s1 and s2 are the weight factors of the number of positive reviews and the number of repurchases, respectively, 0<s1<1, 0<s2<1; Step 3: Target hotel analysis: Obtain the room information of each type of target hotel ordered by each tour guide, where the room information includes the type price and experience information, and then analyze and obtain the experience evaluation coefficient of each type of room of the target hotel, and compare it with the reference overall evaluation coefficient of each type of room of each competing hotel, and then obtain the room of each type of reduced amount and the room of each type of increased amount corresponding to the target hotel; The analysis obtains the experience evaluation coefficients of the target hotel corresponding to each type of room. The specific analysis process is as follows: According to the room area and air quality of each type of room in the target hotel ordered by each tour guide, the perception evaluation coefficient of each type of room in the target hotel is calculated and recorded as t represents the number of rooms of each type in the target hotel, t=1,2....σ, σ is any integer greater than 2; By calculating the formula The analysis yields the experience evaluation coefficient θ of the target hotel corresponding to the t-th type of room t , ξ′ is the reference type price, ξ igt The type price of the t-th type of room in the target hotel ordered by the i-th tour guide for the g-th time, λ1 and λ2 are the weight factors of the set perception evaluation coefficient and the type price respectively, 0<λ1<1, 0<λ2<1, i represents the number corresponding to each tour guide, r is any integer greater than 2, g=1,2......y, g represents the number corresponding to each order, y is any integer greater than 2; The analysis obtains the perception evaluation coefficients of each type of room in the target hotel. The specific analysis process is as follows: By calculating the formula Analyze and obtain the perception evaluation coefficient of the target hotel corresponding to the tth type of room f′ is the set reference room area, h′ is the set reference air quality, f igt is the room area of ​​the t-th type of room corresponding to the g-th order of the target hotel by the i-th tour guide, h igt is the air quality of the t-th type of room corresponding to the target hotel ordered by the i-th tour guide for the g-th time, ν1 and ν2 are the weight factors of the set room area and air quality, respectively, 0<ν1<1, 0<ν2<1; The comparison obtains the target hotel's corresponding rooms of various deduction types and the target hotel's corresponding rooms of various increase types. The specific comparison process is as follows: Compare the experience evaluation coefficients of the target hotel corresponding to each type of room with the reference overall evaluation coefficients of the competing hotels corresponding to each type of room. If the experience evaluation coefficient of a certain type of room of the target hotel is less than the reference overall evaluation coefficient of the corresponding type of room of the competing hotel, the corresponding type of room of the target hotel is recorded as a reduced-rate type room, thereby obtaining the corresponding types of reduced-rate rooms of the target hotel. If the experience evaluation coefficient of a certain type of room of the target hotel is equal to the reference overall evaluation coefficient of the corresponding type of room of the competing hotel, it is determined that the price of the type of room does not need to be changed. If the experience evaluation coefficient of a certain type of room of the target hotel is greater than the reference overall evaluation coefficient of the corresponding type of room of the competing hotel, the corresponding type of room of the target hotel is recorded as an increased-rate type room, thereby obtaining the corresponding types of increased-rate rooms of the target hotel. Step 4: Adjust pricing information: Based on the experience evaluation coefficients of the target hotel's corresponding rooms of each type, calculate the price adjustment values ​​of the target hotel's corresponding rooms of each type with reduced amounts and the price adjustment values ​​of the target hotel's corresponding rooms of each type with increased amounts; The price reduction of the target hotel's corresponding rooms of each deduction type and the price adjustment value of the target hotel's corresponding rooms of each increase type are calculated, and the specific calculation process is as follows: Subtract the experience evaluation coefficient of each type of room of the target hotel from the reference overall evaluation coefficient of each type of room of each competing hotel to obtain the coefficient difference. If the coefficient difference is too large, the price of each type of room of the corresponding target hotel will be reduced, and the price of each type of room of the corresponding target hotel will be increased; Compare the experience evaluation coefficient of each deduction type room of the target hotel with the experience evaluation coefficient corresponding to the price reduction stored in the database. If the experience evaluation coefficient of a certain deduction type room of the target hotel is the same as the experience evaluation coefficient corresponding to the price reduction stored in the database, use the price reduction as the price reduction of the room of the target hotel corresponding to the certain deduction type, thereby obtaining the price reduction of each deduction type room of the target hotel, and using it as the price adjustment value of each deduction type room of the target hotel; Compare the experience evaluation coefficient of each incremental type room of the target hotel with the experience evaluation coefficient corresponding to the price value-added stored in the database. If the experience evaluation coefficient of a certain incremental type room of the target hotel is the same as the experience evaluation coefficient corresponding to the price value-added stored in the database, use the price value-added as the price value-added of the target hotel corresponding to the certain incremental type room, thereby obtaining the price value-added of each incremental type room of the target hotel, and using it as the price adjustment value of each incremental type room of the target hotel; Step 5: Status display: used to display the overall evaluation coefficients of each type of room of each highest-ranked competing hotel, and to display each type of reduced-rate room and each type of increased-rate room.

2. A data analysis device for executing the data analysis method according to claim 1, comprising: The hotel management system includes: a hotel type screening module, which is used to obtain the business type and location of each hotel in the scenic area, and screen out each competing hotel; The competitive hotel research module analyzes and obtains the overall evaluation coefficients of each competitive hotel corresponding to each type of room, and extracts the highest-ranked overall evaluation coefficients as the reference overall evaluation coefficients of each competitive hotel corresponding to each type of room; The target hotel analysis module analyzes and obtains the experience evaluation coefficients of the target hotel's corresponding rooms of various types, and compares them with the reference overall evaluation coefficients of the corresponding rooms of various types of competing hotels, and then obtains the target hotel's corresponding rooms of various types of reduced amounts and the target hotel's corresponding rooms of various types of increased amounts; A pricing information adjustment module is used to calculate the price reduction of each type of room of the target hotel and the price increase of each type of room of the target hotel according to the experience evaluation coefficient of each type of room of the target hotel; The status display module is used to display the overall evaluation coefficients of each type of room corresponding to each highest-ranked competing hotel, and to display each type of room with a reduced amount and each type of room with an increased amount.

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