TWI648645B - Cloud Smart Background Computing Punch Big Data System Platform - Google Patents

Abstract

A cloud-based intelligent background computing big data system platform, especially one that converts the information of the punching system into a smart big data analysis through diversified background computing, as a dynamic operational intelligence analysis of enterprise operational decision-making and enterprise dynamic decision-making. In order to obtain the purpose of wide application of business intelligence, the system comprises a punching device, a customer database and a server for connecting the punching device and the customer to the database, and the customer database is protected by a double security mechanism inside and outside. The customer database is a smart big data dynamic operation intelligence analysis, which can be used as a business operation decision, enterprise dynamic decision or other decision mode. When the punch device generates a punch time information, the server receives the punch time information and provides for establishment. A customer transaction result information, the server integrates the punch time information with the customer transaction result information into a record, and stores the transaction record in the customer database, and then through the intelligent analysis system, not only Applied to the management of enterprise organizations, and can derive more yuan Mode, in order to enhance the competitiveness of the market.

Description

Cloud Smart Background Computing Punch Big Data System Platform

This creation is about a card punching system, especially a big data system platform that can be used for background analysis and calculation.

The company's line number generally uses the punching method to grasp the employee's attendance. The common method of punching is to use the traditional mechanical punching machine. With the development of network technology, the punching method has also developed the network punching system.

The conventional action punching system includes a database, a server and a push gateway, the server generates a punch request, and pushes the punch request through the push gateway and an external push host. The notification is transmitted to a specific mobile communication device, and all execution functions are locked until the mobile communication device has completed a punching operation until the completion of the punching operation. And the action punching system currently seen can also provide a number of enterprise organizations to share the attendance and assessment of a system management staff, and execute a single application to establish a network connection in a cloud system with a hybrid cloud mode. The information uploaded by the mobile communication device is managed by each enterprise organization.

However, the above-mentioned punching system can effectively control the absence of personnel in response to the network generation, but for the enterprise organization, it is only the information to be obtained in time, as the management of the personnel time in the enterprise management, Not only does it not help the other management of the organization, and even the commercial derivation of the entire organization is not helpful. Therefore, there is no innovation in the network mode punching system.

Therefore, if you think from different angles, the time information left by the company personnel when entering and leaving the customer can obtain valuable integration information under the analysis of big data, which can be widely used not only in the management side of the enterprise organization. More deriving a more diversified business model and increasing commercial competition Force, for the organization of the organization will greatly help, so the card system can create an updated business model to re-construct the entire system, different from the current only to obtain time information card system.

In view of this, the main purpose of this creation is to provide a cloud intelligent background computing punch card big data system platform, in addition to grasping the attendance status of enterprise organization members, and transforming into a management mode more in line with enterprise needs through diversified background computing. And various types of business models, not only can grasp the customer trading opportunities, but also provide a commercially competitive background computing punching big data system platform.

The creative cloud intelligent background computing punching big data system platform comprises: a punching device, generating a punching time period information; a customer database; a cloud background server, connecting with the punching device and the customer database, and receiving the The card time period information and the information for establishing a customer transaction result, the cloud background server aggregates the card time period information and the customer transaction result information into a record, and stores the transaction record in the customer database; the cloud background The server cross-matches the keyword records with the customer records stored in the customer database to generate a large data collection analysis report, which is applied to enterprise operational decisions, enterprise dynamic decisions, or other decisions.

According to the present creation, since the salesperson needs to punch in when visiting the customer, the cloud background server receives the information of the punching time period, and the management unit can perform intelligent big data analysis according to the information of the punching time period, so as to be widely used for management. And the commercial side, and through the derivation and integration of big data analysis, the decision-making operation of the enterprise organization is smoother and the market competitiveness is increased; and the transaction records stored in the customer database become big data, and can be covered. For the multi-information of food, clothing, housing, travel, education and music, the salesperson can follow the customer transaction mode for the next visitor. Households, for the salesperson, can help to enhance the chances of successful trading, effectively expand business opportunities, and also achieve customer satisfaction and create a win-win situation for customers.

10‧‧‧ Punch device

20‧‧‧Customer Database

21‧‧‧ firewall

30‧‧‧Cloud backend server

40‧‧‧User computer device

50‧‧‧ Punch time information

60‧‧‧Customer results information

70‧‧‧Record

80‧‧‧ keywords

90‧‧‧ Big Data Consolidation Analysis Report

Figure 1: Block diagram of the foreground process of the big data system platform of this creation.

Figure 2: Schematic diagram of the creation of front-end information to the cloud background.

Figure 3: Schematic diagram of the big data aggregation analysis report of the author cloud server.

Figure 4: Schematic diagram of the creation of the customer database in both internal and external networks.

Figure 5: Schematic diagram of the application side of the big data aggregation analysis report of this creation.

The creative cloud-based background computing punching big data system platform includes front-end and background computing, wherein, as shown in FIG. 1, it is a foreground process, which includes a punching device 10, a customer database 20 and a cloud back-end server 30. The customer database 20 and the cloud background server 30 form a cloud for the carding device 10 distributed anywhere and the user computer device 40 to establish a connection through the Internet or a regional network, from the customer database. The cloud formed by the cloud backend server 30 performs the functions of cloud background computing and central management.

The card punching device 10 generates a punching period information. The punching device 10 can be a punching machine, which can be set at a company's working place, such as an office or a factory. When a clerk of the company wants to leave the company to visit the customer, the punching device 10 can be operated to punch the card. The punching device 10 records a first time point when the salesperson leaves the company; when the salesperson returns to the company after visiting the customer, the card punching device 10 is also operated to perform punching, and the punching device 10 records the salesman back. Go to the company's second time point. Alternatively, the card punching device 10 may be a mobile communication device (such as a smart phone or a tablet computer) that executes a punching application (APP), etc., so that the salesperson can perform a punching action outside the company, so that the punching device is enabled. 10 Record the first time before the salesperson visits the customer and visit the customer. At the second time, when punching by smart phone or tablet carried by the salesman, it is not limited to punching only in the company.

It can be seen that the first time point and the second time point have a chronological order, and the punching period information generated by the punching device 10 is a time period formed by the first time point and the second time point. On the other hand, the punching period information generated by the punching device 10 can be accompanied by a punching location information. For example, a mobile communication device such as a smart phone or a tablet computer has built-in positioning function (for example, Google Map positioning). The punch location information is generated, and the location of the salesperson or the location of the client company can be presented according to the information of the punch location.

The customer database 20 can be a cloud database, and the cloud background server 30 can be a cloud server. The cloud background server 30 is connected to the card punching device 10 and the customer database 20 for data transmission. The server 30 can access the data of the customer database 20 to perform background computing functions. Referring to FIG. 2, the cloud background server 30 receives the punching period information 50 sent by the punching device 10 and establishes a customer transaction result information 60, and the cloud background server 30 communicates the punching period information 50 with the customer. The result information 60 is consolidated into a log 70 and stored in the customer database 20 for updating. Moreover, the cloud background server 30 can receive the punching location information sent by the punching device 10, so that when the punching period information is combined with the punching location information, the creation can grasp which customer the salesperson visits at which time. .

After visiting the customer, the salesperson can operate the user computer device 40 to connect and log in to the cloud background server 30. The company can employ multiple salespersons, and each salesperson can have a unique identification code. Therefore, when the salesperson logs in to the cloud background server 30 with his own account password, the established customer transaction result information 60 is also accompanied by the identification code. In this way, the cloud background server 30 can aggregate the card time period information 50 generated by the same salesperson during the current visit and the established customer transaction result information 60 into the current record 70 according to the identification code. .

Referring to FIG. 1, the cloud background server 30 is connected to the user computer device 40, and the user computer device 40 can be a desktop computer, a notebook computer, a smart phone or a company that is equipped with a user or a user. Internet-connectable computer devices such as tablets. When the cloud background server 30 establishes a connection with the user computer device 40, and the cloud background server 30 can read the transaction record 70 of the customer database 20 and perform big data analysis, in the present embodiment, Referring to Figure 3, a large data collection analysis report 90 can be generated.

And the security protection control of the above customer database, please refer to Figure 4, when connecting with the internal network and the external network, it must pass the protection mechanism, such as the firewall 21 in Figure 4, the internal and external double protection Under the full control of the security of information, the access to recorded data can be preserved.

The main purpose of this creation is to transform the information of the punching system into a smart big data analysis through diversified background computing. Please refer to Figure 5, this big data collection analysis report can be used as a dynamic operational intelligence analysis. The dynamic operational intelligence analysis includes analysis of business operation decisions, enterprise dynamic decisions and other decisions. Different analysis information can be presented in an immediate and multi-faceted manner. It can be widely used in management by quickly integrating and analyzing different types of reports. End, client and commercial derivation.

In terms of the management side, the different information analysis data obtained can be used as personnel management, internal logistics management or other aspects of management, and even for dynamic management. In terms of personnel, in addition to controlling attendance, Analyze the visit habits of specific salesmen as the basis for retraining. In terms of logistics, the sales curve of different products and the preferences of customers can be analyzed to serve as the basis for logistics control, thereby achieving the act of actuarial cost.

In the client side, the customer's transaction result information edited by the salesperson may include the company name, company phone number, company address, interview object, name, transaction success, transaction amount, and payment amount (including check) of the current visit customer. Amount or cash amount) or transaction failure, or the date of the next visit, or the brand and model of the product used by the customer... etc.; thus integrating a diversified customer Information, and instant service management, can even include customers' diverse information on food, clothing, housing, travel, education and music, and achieve instant and comprehensive customer service support.

In terms of commercial derivation, the dynamic operational intelligence analysis of this creation includes analysis of business operation decisions, enterprise dynamic decisions and other decisions, so that the business can be adjusted at any time according to changes in the environment and customer needs. The strategy, as shown in FIG. 3, can be typed in the manner of the keyword 80, and the cloud background server 30 cross-matches the current record 70 stored by the customer database 20 according to the keyword 80 to generate a large The data aggregation analysis report 90, which reflects a commercial derivation model.

The application description of the client is as follows: Referring to FIG. 1 , after the company personnel operates the user computer device 40 and logs in to the cloud background server 30, the cloud background server 30 provides an analysis page, and the analysis page has a The keyword input field (similar to the Google homepage), which enters a field for the user to edit the keyword. The keyword may include a customer name and a time point, and the cloud background server 30 can perform cross-matching on the customer database 20 according to the customer name and the time point to compare the punch time information 50. At that point in time, a plurality of log records 70 corresponding to the customer name are recorded, and the plurality of log records 70 can be listed in the big data summary analysis report 90. If there are a hundred records in the customer database 20 corresponding to the customer name, 80 of the transaction records 70 are successful at the time, and the other twenty transactions 70 are transactions at the time. If the failure occurs, the cloud background server 30 can automatically calculate that the company's chance of successful transaction at that point in time is 80%, which is the key reason for visiting the customer.

Since the big data collection analysis report 90 can reflect the customer purchase mode behavior, that is, the customer can have a high probability of successful transaction at that time, the big data collection analysis report 90 can be arranged as a salesman to arrange the next visit. Time reference. On the other hand, the salesperson can also analyze the reason for the transaction failure according to the big data collection analysis report 90, for example, when the entered time point keyword generates a transaction with a probability of success of 10%, the time point may be a transaction. The obstacle to success. Yes, this creation borrows The cloud background server 30 performs background operations to learn important messages, thereby reminding the salesperson that the business opportunity will not be caused by permanent obstruction; since the big data collection analysis report 90 can present a high probability of a particular transaction success rate, Therefore, the big data collection analysis report 90 is a customer preference analysis report 90 that reflects the customer's purchase pattern behavior, and can be further developed into a unique business model according to the creation.

Therefore, when the above system is applied to client information integration and analysis, better business opportunities can be obtained, so the whole big-data system platform of intelligent background computing is a quite unique dynamic operational intelligence analysis, and then obtain commercial business. The purpose of intelligent application is of great help to enterprise organization's business operation decision, enterprise dynamic decision or other decision.

Claims (7)

A cloud intelligent background computing punching big data system platform comprises: a punching device, generating a punching time period information; a customer database; a cloud background server, connecting with the punching device and the customer database, and receiving the The card time period information and the information for establishing a customer transaction result, the cloud background server aggregates the card time period information and the customer transaction result information into a record, and stores the transaction record in the customer database; the cloud background The server cross-matches the key records stored in the customer database according to the keyword to generate a large data collection analysis report, which is applied to the enterprise operation decision or the enterprise dynamic decision. The cloud smart background computing punching big data system platform according to claim 1, wherein the cloud background server connects a user computer device, and the user computer device edits and establishes the customer transaction result information. The cloud smart background computing punching big data system platform as claimed in claim 2, the customer transaction result information includes a customer company name, a company phone number, a company address, an interview object, a name, a transaction success, a transaction amount, a payment amount, or Information such as transaction failure. The cloud smart background computing punching big data system platform according to any one of claims 1 to 3, wherein the keyword includes a time point. The cloud smart background computing punching big data system platform according to any one of claims 1 to 3, wherein the punching device is a punch card machine. The cloud smart background computing punching big data system platform according to any one of claims 1 to 3, wherein the punching device is a mobile communication device that executes a punching application. The cloud smart background computing punching big data system platform according to claim 6, wherein the punching time information generated by the punching device is accompanied by a punching location information, and the cloud background server receives the punching location information.