TWM634641U - Marketing Information Generation System Based on Bank Transaction Information Screening - Google Patents
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Abstract
一種基於銀行交易資訊篩選的行銷資訊生成系統,分析伺服器對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料,以依據行銷端裝置透過行銷伺服器提供的篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊,再由行銷伺服器反饋行銷資訊至對應的行銷端裝置並加以顯示,藉此可以達成基於銀行交易資訊篩選以生成行銷端裝置需要的行銷資訊的技術功效。A marketing information generation system based on bank transaction information screening, the analysis server creates a classified data table for the bank customer basic information, bank customer financial transaction data and credit score data, so as to combine the bank customer basic information, bank customer financial transaction data and credit score The data is combined with the classification data table to generate integrated type data, so as to filter the data in the integrated type data according to the filtering information provided by the marketing server through the marketing server to generate marketing information, and then the marketing server feeds back the marketing information to the corresponding marketing terminal device and display it, so that the technical function of generating the marketing information required by the marketing terminal device based on the screening of bank transaction information can be achieved.
Description
一種資訊生成系統,尤其是指一種透過大數據分析生成整合類型資料並進一步篩選出行銷資訊的基於銀行交易資訊篩選的行銷資訊生成系統。 An information generation system, in particular, refers to a marketing information generation system based on bank transaction information screening that generates integrated data through big data analysis and further screens out marketing information.
一般而言,為了有效的拓展銀行業務,現有銀行需將被動的銀行業務行銷轉換為主動的銀行業務行銷,主動進行銀行業務的拓展除了透過工商名冊、展覽設攤或是街頭拜訪…等方式進行,然而行銷人員難以掌握被行銷者的背景情況,無法提供系統性的開啟與切入銀行業務行銷,往往執行起來非常耗時耗力且成功率不佳。 Generally speaking, in order to effectively expand banking business, existing banks need to convert passive banking business marketing into active banking business marketing. Proactive banking business expansion is not only carried out through industrial and commercial registers, exhibition booths or street visits...etc. , however, it is difficult for marketers to grasp the background of the marketers, and cannot provide systematic opening and entry into banking business marketing, which is often very time-consuming and labor-intensive with a low success rate.
如何能協助行銷人員藉由大數據分析且系統性方式掌握被行銷者的背景情況,以提升主動銀行業務行銷的推展效率與成功率,將是本創作所期待的目標。 How to help marketers grasp the background of marketers through big data analysis and a systematic approach, so as to improve the promotion efficiency and success rate of active banking business marketing, will be the expected goal of this creation.
綜上所述,可知先前技術中長期以來一直存在現有主動銀行業務行銷耗時耗力且成功率不佳的問題,因此有必要提出改進的技術手段,來解決此一問題。 To sum up, it can be known that the existing active banking marketing has long been time-consuming and labor-intensive and has a low success rate in the prior art. Therefore, it is necessary to propose improved technical means to solve this problem.
有鑒於先前技術存在現有主動銀行業務行銷耗時耗力且成功率不佳的問題,本創作遂揭露一種基於銀行交易資訊篩選的行銷資訊生成系統,其中:本創作所揭露的基於銀行交易資訊篩選的行銷資訊生成系統,其包含:資料伺服器、分析伺服器、行銷伺服器以及行銷端裝置,分析伺服器更包含:資料接收模組、外部資料接收模組、資料類型解析模組以及行銷資訊生成模組。 In view of the time-consuming, labor-intensive and poor success rate of active banking business marketing in the prior art, this creation discloses a marketing information generation system based on bank transaction information screening, in which: the bank transaction information screening disclosed in this creation The marketing information generation system includes: data server, analysis server, marketing server and marketing terminal device, and the analysis server further includes: data receiving module, external data receiving module, data type analysis module and marketing information Generate mods.
資料伺服器是儲存有銀行客戶基本資料以及銀行客戶金融交易資料。 The data server stores basic bank customer data and bank customer financial transaction data.
分析伺服器與資料伺服器建立連線,分析伺服器的資料接收模組是自資料伺服器接收銀行客戶基本資料以及銀行客戶金融交易資料,接收篩選資訊;分析伺服器的外部資料接收模組是依據銀行客戶基本資料自外部伺服器取得信用評分資料;分析伺服器的資料類型解析模組是對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料;及分析伺服器的行銷資訊生成模組是依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊。 The analysis server establishes a connection with the data server, and the data receiving module of the analysis server receives basic information of bank customers and financial transaction data of bank customers from the data server, and receives screening information; the external data receiving module of the analysis server is Obtain credit scoring data from an external server based on the basic information of bank customers; the data type analysis module of the analysis server is to create a classified data table for the basic information of bank customers, financial transaction data of bank customers and credit score data, so as to integrate the basic information of bank customers , bank customer financial transaction data and credit score data are combined with the classification data table to generate integrated type data; and the marketing information generation module of the analysis server is based on screening information to filter the data in the integrated type data to generate marketing information.
行銷伺服器與分析伺服器建立連線,接收篩選資訊與傳送篩選資訊至資料接收模組,自分析伺服器接收行銷資訊與傳送行銷資訊;及行銷端裝置與行銷伺服器建立連線,行銷端裝置提供篩選資訊至行銷伺服器,行銷端裝置自行銷伺服器接收行銷資訊並加以顯示。 The marketing server establishes a connection with the analysis server, receives the screening information and transmits the screening information to the data receiving module, receives and transmits the marketing information from the analysis server; and the marketing terminal device establishes a connection with the marketing server, and the marketing terminal The device provides filtering information to the marketing server, and the marketing device receives and displays the marketing information from the marketing server.
本創作所揭露的系統如上,與先前技術之間的差異在於分析伺服器對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料,以依據行銷端裝置透過行銷伺服器提供的篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊,再由行銷伺服器反饋行銷資訊至對應的行銷端裝置並加以顯示。 The system disclosed in this creation is as above, and the difference between it and the previous technology is that the analysis server creates a classified data table for the basic information of bank customers, financial transaction data of bank customers and credit scoring data, so as to combine the basic information of bank customers, financial transactions of bank customers The data and credit score data are combined with the classification data table to generate integrated type data, so as to filter the data in the integrated type data according to the screening information provided by the marketing server through the marketing server to generate marketing information, and then the marketing server feeds back the marketing information to The corresponding marketing device and display it.
透過上述的技術手段,本創作可以達成基於銀行交易資訊篩選以生成行銷端裝置需要的行銷資訊的技術功效。 Through the above-mentioned technical means, this creation can achieve the technical effect of generating the marketing information required by the marketing device based on the screening of bank transaction information.
10:資料伺服器 10: Data server
20:分析伺服器 20: Analysis Server
21:資料接收模組 21: Data receiving module
22:外部資料接收模組 22: External data receiving module
23:資料類型解析模組 23: Data type analysis module
24:行銷資訊生成模組 24:Marketing information generation module
24:規劃模組 24: Planning Module
30:行銷伺服器 30: Marketing Server
40:行銷端裝置 40:Marketing device
51:整合類型資料 51:Integrate type data
52:行銷資訊 52:Marketing information
53:行銷資訊 53:Marketing information
54:行銷資訊 54:Marketing information
61:使用者介面 61: User Interface
62:下拉式選單 62:Pull-down menu
701:處理器 701: Processor
702:記憶體模組 702: Memory module
703:匯流排 703: busbar
709:外殼 709: shell
步驟101:資料伺服器儲存有銀行客戶基本資料以及銀行客戶金融交易資料 Step 101: The data server stores basic bank customer data and bank customer financial transaction data
步驟102:分析伺服器與資料伺服器建立連線 Step 102: The analysis server establishes a connection with the data server
步驟103:行銷端裝置與行銷伺服器建立連線,行銷端裝置提供篩選資訊至行銷伺服器 Step 103: The marketing device establishes a connection with the marketing server, and the marketing device provides screening information to the marketing server
步驟104:行銷伺服器提供篩選資訊至分析伺服器 Step 104: Marketing server provides screening information to analysis server
步驟105:分析伺服器自資料伺服器接收銀行客戶基本資料以及銀行客戶金融交易資料 Step 105: The analysis server receives the bank customer's basic information and the bank customer's financial transaction data from the data server
步驟106:分析伺服器依據銀行客戶基本資料自外部伺服器取得信用評分資料 Step 106: The analysis server obtains the credit score information from the external server according to the bank customer basic information
步驟107:分析伺服器對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料 Step 107: Analyze the server to create a classification data table for the bank customer basic information, bank customer financial transaction data and credit score data, so as to combine the bank customer basic data, bank customer financial transaction data and credit score data with the classification data table to generate integrated type data
步驟108:分析伺服器依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊 Step 108: The analysis server performs data filtering on the data in the integration type data according to the filtering information to generate marketing information
步驟109:行銷伺服器自分析伺服器接收行銷資訊 Step 109: The marketing server receives marketing information from the analysis server
步驟110:行銷伺服器傳送行銷資訊至行銷端裝置並加以顯示 Step 110: The marketing server sends the marketing information to the marketing device and displays it
第1A圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成系統的系統方塊圖。 Fig. 1A shows the system block diagram of the marketing information generating system based on bank transaction information screening.
第1B圖繪示為本創作所提之計算設備的元件示意圖。 Figure 1B shows a schematic diagram of the components of the computing device proposed in this invention.
第2圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的整合類型資料示意圖。 Figure 2 is a schematic diagram of the integrated type data generated for this creation based on the marketing information filtered by bank transaction information.
第3A圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的使用者介面示意圖。 FIG. 3A is a schematic diagram of a user interface generated for this invention based on marketing information filtered by bank transaction information.
第3B圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的行銷資訊示意圖。 FIG. 3B is a schematic diagram of the marketing information generated for this creation based on the marketing information filtered by bank transaction information.
第4A圖以及第4B圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的行銷資訊示意圖。 FIG. 4A and FIG. 4B are schematic diagrams of the marketing information generated for this creation based on the marketing information filtered by bank transaction information.
第5A圖以及第5B圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的進一步篩選行銷資訊示意圖。 FIG. 5A and FIG. 5B are schematic diagrams of further filtering marketing information generated for this creation based on marketing information filtered by bank transaction information.
第6A圖以及第6B圖繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的流程圖。 FIG. 6A and FIG. 6B show the flow chart of generating marketing information based on bank transaction information screening for this creation.
以下將配合圖式及實施例來詳細說明本創作的實施方式,藉此對本創作如何應用技術手段來解決技術問題並達成技術功效的實現過程能充分理解並據以實施。 The implementation of this creation will be described in detail below with drawings and examples, so as to fully understand and implement the realization process of how this creation uses technical means to solve technical problems and achieve technical effects.
以下首先要說明本創作所揭露的基於銀行交易資訊篩選的行銷資訊生成系統,並請參考「第1A圖」所示,「第1A圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成系統的系統方塊圖。 The following will firstly explain the marketing information generation system based on bank transaction information screening disclosed in this creation, and please refer to "Figure 1A", which shows the marketing information generation based on bank transaction information screening in this creation System block diagram of the system.
本創作所揭露的基於銀行交易資訊篩選的行銷資訊生成系統,其包含:資料伺服器10、分析伺服器20、行銷伺服器30以及行銷端裝置40,分析伺服器20更包含:資料接收模組21、外部資料接收模組22、資料類型解析模組23以及行銷資訊生成模組24。
The marketing information generating system based on bank transaction information screening disclosed in this creation includes: a
資料伺服器10、分析伺服器20、行銷伺服器30以及行銷端裝置40皆為計算設備不同的呈現形式,資料伺服器10、分析伺服器20以及行銷伺服器30偏向著重於計算設備的計算效能、資料分析、資料安全保護以及資料大量儲存…等的性能,行銷端裝置40偏向著重於計算設備的個人使用性,在此僅為舉例說明之,並不以此侷限本創作的應用範疇。
The
請參考「第1B圖」所示,「第1B圖」繪示為本創作所提之計算設備的元件示意圖。 Please refer to "Figure 1B", which is a schematic diagram of the components of the computing device proposed in this creation.
本創作所提之計算設備包含但不限於一個或多個處理器701、一個或多個記憶體模組702、及匯流排703等硬體元件,其中,匯流排703可以連接不同的硬體元件。透過所包含之多個硬體元件,計算設備可以載入並執行作業系統,使作業系統在計算設備上運行,也可以執行軟體或程式。計算設備也包含一個外殼709,上述之各個硬體元件設置於外殼內。
The computing device mentioned in this creation includes but is not limited to hardware components such as one or
本創作所提之計算設備的匯流排703可以包含一種或多個類型,例如包含資料匯流排(data bus)、位址匯流排(address bus)、控制匯流排(control bus)、擴充功能匯流排(expansion bus)、及/或局域匯流排(local bus)等類型的匯流排。計算設備的匯流排包括但不限於並列的工業標準架構(ISA)匯流排、周邊元件互連(PCI)匯流排、視頻電子標準協會(VESA)局域匯流排、以及串列的通用序列匯流排(USB)、快速周邊元件互連(PCI-E)匯流排等。
The
本創作所提之計算設備的處理器701與匯流排703耦接。處理器701包含暫存器(Register)組或暫存器空間,暫存器組或暫存器空間可以完全的被設置在處理晶片上,或全部或部分被設置在處理晶片外並經由專用電氣連接及/或經由匯流排耦接至處理器。處理器701可為處理單元、微處理器或任何合適的處理元件。若計算設備為多處理器設備,也就是計算設備包含多個處理器,則計算設備所包含的處理器都相同或類似,且透過匯流排耦接與通訊。處理器701可以解釋一連串的多個指令以進行特定的運算或操作,例如,數學運算、邏輯運算、資料比對、複製/移動資料等,藉以運行作業系統或執行各種程式、模組、及/或元件。
The
計算設備的處理器701可以與晶片組耦接或透過匯流排703與晶片組電性連接。晶片組是由一個或多個積體電路(IC)組成,包含記憶體控制器以及周邊輸出入(I/O)控制器,也就是說,記憶體控制器以及周邊輸出入控制器可以包含在一個積體電路內,也可以使用兩個或更多的積體電路實現。晶片組通常提供了輸出入和記憶體管理功能、以及提供多個通用及/或專用暫存器、計時器等,其中,上述之通用及/或專用暫存器與計時器可以讓耦接或電性連接至晶片組的一個或多個處理器存取或使用。
The
計算設備的處理器701也可以透過記憶體控制器存取安裝於計算設備上的記憶體模組702和大容量儲存區中的資料。上述之記憶體模組702包含任何類型的揮發性記憶體(volatile memory)及/或非揮發性(non-volatile memory,NVRAM)記憶體,例如靜態隨機存取記憶體(SRAM)、動態隨機存取記憶體(DRAM)、快閃記憶體(Flash)、唯讀記憶體(ROM)等。上述之大容量儲存區可以包含任何類型的儲存裝置或儲存媒體,例如,硬碟機、光碟片、隨身碟(快閃記憶體)、記憶卡(memory card)、固態硬碟(Solid State Disk,SSD)、或任何其他儲存裝置等。也就是說,記憶體控制器可以存取靜態隨機存取記憶體、動態隨機存取記憶體、快閃記憶體、硬碟機、固態硬碟中的資料。
The
計算設備的處理器701也可以透過周邊輸出入控制器經由匯流排703與周邊輸出裝置、周邊輸入裝置、通訊介面、以及GPS接收器等周邊裝置或介面連接並通訊。周邊輸入裝置可以是任何類型的輸入裝置,例如鍵盤、滑鼠、軌跡球、觸控板、搖桿等,周邊輸出裝置可以是任何類型的輸出裝置,例如顯示器、印表機等,周邊輸入裝置與周邊輸出裝置也可以是同一裝置,例如
觸控螢幕等。通訊介面可以包含無線通訊介面及/或有線通訊介面,無線通訊介面可以包含支援Wi-Fi、Zigbee等無線區域網路、藍牙、紅外線、近場通訊(NFC)、3G/4G/5G等行動通訊網路或其他無線資料傳輸協定的介面,有線通訊介面可為乙太網路裝置、非同步傳輸模式(ATM)裝置、DSL數據機、纜線(Cable)數據機等。處理器701可以週期性地輪詢(polling)各種周邊裝置與介面,使得計算設備能夠透過各種周邊裝置與介面進行資料的輸入與輸出,也能夠與具有上面描述之元件的另一個計算設備進行通訊。
The
資料伺服器10、分析伺服器20、行銷伺服器30以及行銷端裝置40所提及的各執行功能通常是在各自計算設備中的處理器701執行被載入記憶體模組702之特定程式後產生,或是包含在處理器701中。
The execution functions mentioned by the
資料伺服器10是儲存有銀行客戶基本資料以及銀行客戶金融交易資料,銀行客戶基本資料例如是:帳戶名稱、連絡電話、通訊地址、性別、年齡、職業、出生年月日…等,銀行客戶金融交易資料例如是:薪資、信用卡消費資料、貸款資料…等,在此僅為舉例說明之,並不以此侷限本發明的應用範疇。
The
分析伺服器20與資料伺服器10透過有線傳輸方式或是無線傳輸方是建立連線,前述的有線傳輸方式例如是:電纜網路、光纖網路…等,前述的無線傳輸方式例如是:Wi-Fi、行動通訊網路…等,在此僅為舉例說明之,並不以此侷限本創作的應用範疇。
The
分析伺服器20的資料接收模組21自資料伺服器10接收銀行客戶基本資料以及銀行客戶金融交易資料,分析伺服器20的外部資料接收模組22即可依據銀行客戶基本資料自外部伺服器(即聯徵中心)取得信用評分資料,分
析伺服器20的外部資料接收模組22是透過API方式以自外部伺服器取得信用評分資料,信用評分資料是外部伺服器透過信用卡繳款方式(例如是:全額繳款、最低金額、分期繳款…等)、信用卡是否負債(例如是:信用卡額度使用率、授信餘額、授信餘額連續減少月份數、借款金融機構家數、預借現金、循環信用、)、信用卡最長持卡時間、信用卡被聯徵查詢次數…等的資訊計算出的評分數值,在此僅為舉例說明之,並不以此侷限本創作的應用範疇。
The
接著,分析伺服器20的資料類型解析模組23對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料。
Next, the data
具體而言,銀行客戶基本資料中的性別分別為男性以及女性,分析伺服器20的資料類型解析模組23所建立的分類數據表即包含有性別分類,性別分類包含男性以及女性;銀行客戶基本資料中的職業分別為公務人員、軍人、教師、資訊人員、技術人員、餐飲人員…等,分析伺服器20的資料類型解析模組23所建立的分類數據表即包含有職業分類,職業分類包含公務人員、軍人、教師、資訊人員、技術人員、餐飲人員…等;銀行客戶金融交易資料包含有月收入減去月支出的月結餘,分析伺服器20的資料類型解析模組23會依據最高月結餘數值、最低月結餘數值以及劃分區間數量以建立多個月結餘區間,月結餘區間例如是:1至5000、5001至10000、10001至20000、1至10000、10001至25000、25001至35000…等,在此僅為舉例說明之,並不以此侷限本創作的應用範疇;銀行客戶金融交易資料包含有年資,分析伺服器20的資料類型解析模組23會依據最高年資、最低年資以及劃分區間以建立多個年資區間,年資區
間例如是:未滿6個月、未滿1年、1年至3年、3年至5年…等,在此僅為舉例說明之,並不以此侷限本創作的應用範疇;信用評分資料包含有評分數值,分析伺服器20的資料類型解析模組23會依據最高評分數值、最低評分數值以及劃分區間以建立多個評分數值區間,評分數值區間例如是:未滿400、701至450、451至500、501至550…等,在此僅為舉例說明之,並不以此侷限本創作的應用範疇。
Specifically, the genders in the basic data of bank customers are male and female respectively, and the classification data table created by the data
透過上述對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表後,分析伺服器20的資料類型解析模組23即可將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料51,整合類型資料51請參考「第2圖」所示,「第2圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的整合類型資料示意圖。
After establishing the classified data table for the above-mentioned basic bank customer information, bank customer financial transaction data, and credit score data, the data
行銷伺服器30透過有線傳輸方式或是無線傳輸方式與分析伺服器20建立連線,行銷端裝置40透過有線傳輸方式或是無線傳輸方式與行銷伺服器30建立連線,前述的有線傳輸方式例如是:電纜網路、光纖網路…等,前述的無線傳輸方式例如是:Wi-Fi、行動通訊網路…等,在此僅為舉例說明之,並不以此侷限本創作的應用範疇。
The
行銷端裝置40藉由是透過使用者介面61中所提供的多個下拉式選單62以讓行銷人員選擇需要的篩選資訊,使用者介面61的示意請參考「第3A圖」所示,「第3A圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的使用者介面示意圖,在「第3A圖」中,月結餘區間的下拉式選單62被選擇為“10001至20000”以及評分區間的下拉式選單62被選擇為“501至550”,行銷
端裝置40於使用者介面61所獲得的篩選資訊即為月結餘區間為“10001至20000”以及評分區間為“501至550”。
The
行銷伺服器30提供篩選資訊至分析伺服器20,分析伺服器20的行銷資訊生成模組24依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊,值得注意的是,篩選資訊可以是單一的篩選條件,篩選資訊也可以是多個篩選條件,篩選條件例如是:性別、職業、月結餘區間、年資區間以及評分區間…等,在此僅為舉例說明之,並不以此侷限本創作的應用範疇。
The
在實施例中,分析伺服器20的行銷資訊生成模組24即可依據篩選資訊對整合類型資料51中符合月結餘區間為“10001至20000”以及評分區間為“501至550”的資料篩選出以生成行銷資訊52,行銷資訊52的示意請參考「第3B圖」所示,「第3B圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的行銷資訊示意圖。
In the embodiment, the marketing
在分析伺服器20的行銷資訊生成模組24生成行銷資訊後,行銷伺服器30即可自分析伺服器20接收行銷資訊,行銷伺服器30自分析伺服器20接收行銷資訊,再將行銷資訊傳送至對應的行銷端裝置40,行銷端裝置40在自行銷伺服器30接收行銷資訊時即可顯示行銷資訊以進行後續的行銷工作。
After the marketing
值得注意的是,分析伺服器20的行銷資訊生成模組24可進一步依據分類數據表生成篩選資訊,以再依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊,請參考「第4A圖」以及「第4B圖」所示,「第4A圖」以及「第4B圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的行銷資訊示意圖。
It is worth noting that the marketing
具體而言,假設篩選資訊為月結餘區間“10001至20000”,分析伺服器20的行銷資訊生成模組24即可將整合類型資料51中符合月結餘區間為“10001至20000”的資料篩選出以生成行銷資訊53,行銷資訊53的示意請參考「第4A圖」所示;假設篩選資訊為性別“男性”以及評分數值區間“501至550”,分析伺服器20的行銷資訊生成模組24即可將整合類型資料51中符合性別為“男性”以及評分數值區間為“501至550”的資料篩選出以生成行銷資訊54,行銷資訊53的示意請參考「第4B圖」所示。
Specifically, assuming that the screening information is the monthly balance range "10001 to 20000", the marketing
行銷伺服器30依據行銷端裝置40的行銷成功率以及行銷效率對行銷端裝置40進行評分,行銷伺服器30再依據評分對行銷端裝置40設定對應的評分權重,當行銷伺服器30自分析伺服器20接收行銷資訊時,行銷伺服器30再依據行銷端裝置40的評分權重高低選定行銷端裝置40,以將行銷資訊傳送至被選定的行銷端裝置40並加以顯示以進行後續的行銷工作。
The
行銷端裝置40更包含提供位置資訊至行銷伺服器30,行銷伺服器30提供位置資訊至分析伺服器20的資料接收模組21,分析伺服器20的行銷資訊生成模組24依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊時,再依據位置資訊進一步篩選出行銷資訊中銀行客戶基本資料的地址資訊相近的資訊。
The
具體而言,假設行銷端裝置40提供位置資訊為“松山區”至行銷伺服器30,行銷伺服器30提供位置資訊為“松山區”至分析伺服器20的資料接收模組21,分析伺服器20的行銷資訊生成模組24依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊54時,再依據位置資訊為“松山區”進一步篩選出行銷資訊54(請參考「第4B圖」所示)中銀行客戶基本資料的地址資
訊相近的資訊,進一步篩選出行銷資訊55請參考「第5A圖」所示,「第5A圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的進一步篩選行銷資訊示意圖。
Specifically, assuming that the
具體而言,假設行銷端裝置40提供位置資訊為“萬華區”至行銷伺服器30,行銷伺服器30提供位置資訊為“萬華區”至分析伺服器20的資料接收模組21,分析伺服器20的行銷資訊生成模組24依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊54時,再依據位置資訊為“萬華區”進一步篩選出行銷資訊54中銀行客戶基本資料的地址資訊相近的資訊,進一步篩選出行銷資訊56請參考「第5B圖」所示,「第5B圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的進一步篩選行銷資訊示意圖。
Specifically, assuming that the
分析伺服器20更包含規劃模組25,分析伺服器20的規劃模組25以位置資訊為起點且行銷資訊中進一步篩選出的資訊為中間點或是終點以生成行銷路徑,行銷伺服器30自分析伺服器20接收行銷路徑再提供至行銷端裝置40並加以顯示。
The
接著,請同時參考「第6A圖」以及「第6B圖」所示,「第6A圖」以及「第6B圖」繪示為本創作基於銀行交易資訊篩選的行銷資訊生成的流程圖。 Next, please refer to "Figure 6A" and "Figure 6B" at the same time. "Figure 6A" and "Figure 6B" are the flow charts for the creation of marketing information based on bank transaction information screening.
首先,資料伺服器儲存有銀行客戶基本資料以及銀行客戶金融交易資料(步驟101);接著,分析伺服器與資料伺服器建立連線(步驟102);接著,行銷端裝置與行銷伺服器建立連線,行銷端裝置提供篩選資訊至行銷伺服器(步驟103);接著,行銷伺服器提供篩選資訊至分析伺服器(步驟104);接著,分析伺服器自資料伺服器接收銀行客戶基本資料以及銀行客戶金融交易資料(步驟105);接著,分析伺服器依據銀行客戶基本資料自外部伺服器取 得信用評分資料(步驟106);接著,分析伺服器對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料(步驟107);接著,分析伺服器依據篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊(步驟108);接著,行銷伺服器自分析伺服器接收行銷資訊(步驟109);最後,行銷伺服器傳送行銷資訊至行銷端裝置並加以顯示(步驟110)。 First, the data server stores the basic information of the bank customer and the financial transaction data of the bank customer (step 101); then, the analysis server establishes a connection with the data server (step 102); then, the marketing terminal device establishes a connection with the marketing server line, the marketing terminal device provides screening information to the marketing server (step 103); then, the marketing server provides screening information to the analysis server (step 104); then, the analysis server receives the bank customer basic information and the bank Customer financial transaction data (step 105); then, the analysis server fetches from the external server according to the bank customer basic data Get the credit score data (step 106); then, the analysis server establishes a classification data table for the bank customer basic data, bank customer financial transaction data and credit score data, so that the bank customer basic data, bank customer financial transaction data and credit score data Cooperate with the classification data table to generate integrated type data (step 107); then, the analysis server performs data filtering on the data in the integrated type data according to the screening information to generate marketing information (step 108); then, the marketing server receives marketing from the analysis server information (step 109); finally, the marketing server sends the marketing information to the marketing terminal device and displays it (step 110).
綜上所述,可知本創作與先前技術之間的差異在於分析伺服器對銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料建立分類數據表,以將銀行客戶基本資料、銀行客戶金融交易資料以及信用評分資料配合分類數據表生成整合類型資料,以依據行銷端裝置透過行銷伺服器提供的篩選資訊對整合類型資料中資料進行資料篩選以生成行銷資訊,再由行銷伺服器反饋行銷資訊至對應的行銷端裝置並加以顯示。 In summary, it can be seen that the difference between this creation and the prior art lies in that the analysis server establishes a classification data table for the bank customer basic information, bank customer financial transaction data and credit scoring data, so as to combine the bank customer basic information, bank customer financial transaction The data and credit score data are combined with the classification data table to generate integrated type data, so as to filter the data in the integrated type data according to the screening information provided by the marketing server through the marketing server to generate marketing information, and then the marketing server feeds back the marketing information to The corresponding marketing device and display it.
藉由此一技術手段可以來解決先前技術所存在現有主動銀行業務行銷耗時耗力且成功率不佳的問題,進而達成基於銀行交易資訊篩選以生成行銷端裝置需要的行銷資訊的技術功效。 This technical means can solve the time-consuming, labor-intensive and poor success rate problems of the existing active banking business marketing in the prior art, and then achieve the technical effect of generating marketing information required by the marketing terminal device based on screening of bank transaction information.
雖然本創作所揭露的實施方式如上,惟所述的內容並非用以直接限定本創作的專利保護範圍。任何本創作所屬技術領域中具有通常知識者,在不脫離本創作所揭露的精神和範圍的前提下,可以在實施的形式上及細節上作些許的更動。本創作的專利保護範圍,仍須以所附的申請專利範圍所界定者為準。 Although the embodiment disclosed in this creation is as above, the content described is not used to directly limit the scope of patent protection of this creation. Anyone with ordinary knowledge in the technical field to which this creation belongs can make slight changes in the form and details of the implementation without departing from the spirit and scope disclosed in this creation. The scope of patent protection for this creation must still be defined by the scope of the attached patent application.
10:資料伺服器 10: Data server
20:分析伺服器 20: Analysis Server
21:資料接收模組 21: Data receiving module
22:外部資料接收模組 22: External data receiving module
23:資料類型解析模組 23: Data type analysis module
24:行銷資訊生成模組 24:Marketing information generation module
30:行銷伺服器 30:Marketing Server
40:行銷端裝置 40:Marketing device
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2022
- 2022-08-11 TW TW111208710U patent/TWM634641U/en unknown
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
TWI820857B (en) * | 2022-08-11 | 2023-11-01 | 彰化商業銀行股份有限公司 | Marketing information generation system based on screening of bank transaction information and method thereof |
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