WO2018157391A1

WO2018157391A1 - Big-data enterprise evaluation method and system

Info

Publication number: WO2018157391A1
Application number: PCT/CN2017/075625
Authority: WO
Inventors: 马岩
Original assignee: 深圳市博信诺达经贸咨询有限公司
Priority date: 2017-03-03
Filing date: 2017-03-03
Publication date: 2018-09-07

Abstract

A big-data enterprise evaluation method, comprising the following steps: a server obtains an enterprise identification to be evaluated (101); the server queries information related to the enterprise identification from big data according to the enterprise identification (102); and the server evaluates the enterprise credit according to the related information (103). The method can achieve enterprise evaluation.

Description

Method and system for evaluating big data enterprises

Technical field

The present invention relates to the field of data processing, and in particular, to a method and system for evaluating big data enterprises.

Background technique

The McKinsey Global Institute defines big data as a collection of data that is large enough to capture, store, manage, and analyze the capabilities of traditional database software tools. It has a large data scale and fast data flow. Four different data types and low value density.

The strategic significance of big data technology is not to master huge data information, but to professionalize these meaningful data. In other words, if big data is likened to an industry, the key to profitability in this industry is to increase the “processing capability” of the data and “add value” of the data through “processing”. From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data must not be processed by a single computer, and a distributed architecture must be used. It features distributed data mining for massive data. But it must rely on cloud computing for distributed processing, distributed databases and cloud storage, and virtualization technologies. With the advent of the cloud era, big data (Big Data) has also attracted more and more attention. The team of analysts at Yuntai believes that Big Data (Big) Data) is often used to describe a large amount of unstructured data and semi-structured data created by a company that spends too much time and money when downloaded to a relational database for analysis. Big data analytics is often associated with cloud computing because real-time large dataset analysis requires a framework like MapReduce to distribute work to dozens, hundreds, or even thousands of computers.

Existing corporate evaluations cannot evaluate companies based on big data.

technical problem

The application provides a method for big data enterprise evaluation. It solves the shortcomings that the prior art technical solutions cannot evaluate the enterprise.

Technical solution

In one aspect, a method for evaluating a big data enterprise is provided, the method comprising the following steps: a method for evaluating a big data enterprise, the method comprising the following steps:

The server obtains the enterprise identifier to be evaluated;

The server queries, according to the enterprise identifier, information related to the enterprise identifier from the big data;

The server evaluates the enterprise credit based on the related information.

Optionally, the method further includes:

The server queries the related information for the default amount and the default amount of the contract of the enterprise information. If the default data and the default amount exceed the set threshold, the enterprise evaluates the dish as dishonest.

Optionally, the method further includes:

The server queries from the related information whether there is the number and amount of unexecuted cases of the court of the enterprise, and if so, the enterprise is evaluated as dishonest.

In a second aspect, a system for big data enterprise evaluation is provided, the system comprising:

An obtaining unit, configured to obtain an enterprise identifier to be evaluated;

The processing unit is configured to query, according to the enterprise identifier, information related to the enterprise identifier from the big data, and evaluate the enterprise credit according to the related information.

Optionally, the system further includes:

The processing unit is configured to query, by the server, the default amount and the default amount of the contract of the enterprise information from the related information, and if the default data and the default amount exceed a set threshold, the enterprise is evaluated as dishonest.

Optionally, the system further includes:

And a processing unit, configured to query, from the related information, whether there is a number of the unexecuted cases of the enterprise and the amount of the case, and if yes, the enterprise is evaluated as dishonest.

A third aspect provides a server, including: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus, and the wireless transceiver is configured to acquire an enterprise identifier to be evaluated. ;

The processor is configured to query, according to the enterprise identifier, information related to the enterprise identifier from the big data, and evaluate the enterprise credit according to the related information.

Optionally, the processor is configured to query, by the server, the default amount and the default amount of the contract of the enterprise information from the related information, and if the default data and the default amount exceed a set threshold, the enterprise evaluation is performed. For dishonesty.

Optionally, the processor is configured to query, from the related information, whether there is a number of court unexecuted cases and an amount of the enterprise, and if yes, the enterprise is evaluated as dishonest.

Beneficial effect

The technical solution provided by the invention retrieves big data related to the enterprise by searching for big data, and then evaluates the integrity of the enterprise according to the breach information or the court execution information in the big data, so it has the advantages of realizing the evaluation of the enterprise. .

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without paying any creative work.

1 is a flowchart of a method for evaluating big data enterprises according to a first preferred embodiment of the present invention;

2 is a structural diagram of a system for evaluating big data enterprises according to a second preferred embodiment of the present invention.

FIG. 3 is a hardware structural diagram of a server according to a second preferred embodiment of the present invention.

Embodiments of the invention

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

Please refer to FIG. 1. FIG. 1 is a method for evaluating a big data enterprise according to a first preferred embodiment of the present invention. The method is as shown in FIG. 1 and includes the following steps:

Step S101: The server acquires an enterprise identifier to be evaluated.

The company logo may specifically be a company name or a corporate unified credit code.

Step S102: The server queries, according to the enterprise identifier, information related to the enterprise identifier from the big data.

Step S103: The server evaluates the enterprise credit according to the related information.

Optionally, the server queries, from the related information, the default amount and the default amount of the contract of the enterprise information, and if the default data and the default amount exceed a set threshold, the enterprise is evaluated as dishonest.

Optionally, the server queries, from the related information, whether there is a number of the unexecuted cases of the enterprise and the amount of the case, and if yes, the enterprise is evaluated as dishonest.

Please refer to FIG. 2. FIG. 2 is a system for evaluating big data enterprises according to a second preferred embodiment of the present invention. The system is as shown in FIG. 2, and includes:

The obtaining unit 201 is configured to obtain an enterprise identifier to be evaluated;

The processing unit 202 is configured to query, according to the enterprise identifier, information related to the enterprise identifier from the big data, and evaluate the enterprise credit according to the related information.

Optionally, the processing unit 202 is configured to query, by the server, the default amount and the default amount of the contract of the enterprise information from the related information, and if the default data and the default amount exceed a set threshold, the enterprise is evaluated as not honest.

Optionally, the processing unit 202 is configured to query, from the related information, whether the number of the unexecuted cases of the enterprise and the amount of the enterprise are obtained, and if yes, the enterprise is evaluated as dishonest.

Referring to FIG. 3, FIG. 3 is a server 30, including: a processor 301, a wireless transceiver 302, a memory 303, and a bus 304. The wireless transceiver 302 is configured to send and receive data with and from an external device. The number of processors 301 can be one or more. In some embodiments of the present application, processor 301, memory 302, and transceiver 303 may be connected by bus 304 or other means. Server 30 can be used to perform the steps of FIG. For the meaning and examples of the terms involved in the embodiment, reference may be made to the corresponding embodiment of FIG. 1. I will not repeat them here.

The wireless transceiver 302 is configured to obtain an enterprise identifier to be evaluated.

The program code is stored in the memory 303. The processor 901 is configured to call the program code stored in the memory 903 for performing the following operations:

The processor 301 is configured to query, according to the enterprise identifier, information related to the enterprise identifier from the big data, and evaluate the enterprise credit according to the related information.

It should be noted that the processor 301 herein may be a processing component or a general term of multiple processing components. For example, the processing element can be a central processor (Central) Processing Unit, CPU), or a specific integrated circuit (Application Specific Integrated) Circuit, ASIC), or one or more integrated circuits configured to implement embodiments of the present application, such as one or more microprocessors (digital singnal Processor, DSP), or one or more Field Programmable Gate Arrays (FPGAs).

The memory 303 may be a storage device or a collective name of a plurality of storage elements, and is used to store executable program code or parameters, data, and the like required for the application running device to operate. And the memory 303 may include random access memory (RAM), and may also include non-volatile memory (non-volatile memory) Memory), such as disk storage, flash (Flash), etc.

Bus 304 can be an industry standard architecture (Industry Standard Architecture, ISA) bus, Peripheral Component (PCI) bus or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is shown in Figure 3, but it does not mean that there is only one bus or one type of bus.

The terminal may further include input and output means connected to the bus 304 for connection to other parts such as the processor 301 via the bus. The input/output device can provide an input interface for the operator, so that the operator can select the control item through the input interface, and can also be other interfaces through which other devices can be externally connected.

It should be noted that, for the foregoing various method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should understand that the present invention is not limited by the described action sequence. Because certain steps may be performed in other sequences or concurrently in accordance with the present invention. In addition, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the present invention.

In the above embodiments, the descriptions of the various embodiments are different, and the parts that are not described in detail in a certain embodiment can be referred to the related descriptions of other embodiments.

A person skilled in the art may understand that all or part of the various steps of the foregoing embodiments may be performed by a program to instruct related hardware. The program may be stored in a computer readable storage medium, and the storage medium may include: Flash drive, read-only memory (English: Read-Only Memory, referred to as: ROM), random accessor (English: Random Access Memory, referred to as: RAM), disk or CD.

The content downloading method and the related device and system provided by the embodiments of the present invention are described in detail above. The principles and implementation manners of the present invention are described in the specific examples. The description of the above embodiments is only used to help understand the present invention. The method of the invention and its core idea; at the same time, for the person of ordinary skill in the art, according to the idea of the present invention, there are some changes in the specific embodiment and the scope of application. In summary, the content of the specification should not be understood. To limit the invention.

Claims

A method for evaluating a big data enterprise, characterized in that the method comprises the following steps:

The server obtains the enterprise identifier to be evaluated;

The server queries, according to the enterprise identifier, information related to the enterprise identifier from the big data;

The server evaluates the enterprise credit based on the related information.
The method of claim 1 further comprising:

The server queries the related information for the default amount and the default amount of the contract of the enterprise information. If the default data and the default amount exceed the set threshold, the enterprise evaluates the dish as dishonest.
The method of claim 2, wherein the method further comprises:

The server queries from the related information whether there is the number and amount of unexecuted cases of the court of the enterprise, and if so, the enterprise is evaluated as dishonest.
A system for evaluating big data enterprises, characterized in that the system comprises:

An obtaining unit, configured to obtain an enterprise identifier to be evaluated;

The processing unit is configured to query, according to the enterprise identifier, information related to the enterprise identifier from the big data, and evaluate the enterprise credit according to the related information.
The system of claim 4, wherein the system further comprises:

The processing unit is configured to query, by the server, the default amount and the default amount of the contract of the enterprise information from the related information, and if the default data and the default amount exceed a set threshold, the enterprise is evaluated as dishonest.
The system of claim 5, wherein the system further comprises:

And a processing unit, configured to query, from the related information, whether there is a number of the unexecuted cases of the enterprise and the amount of the case, and if yes, the enterprise is evaluated as dishonest.
A server includes: a processor, a wireless transceiver, a memory, and a bus, wherein the processor, the wireless transceiver, and the memory are connected by a bus, wherein

The wireless transceiver is configured to obtain an enterprise identifier to be evaluated;

The processor is configured to query, according to the enterprise identifier, information related to the enterprise identifier from the big data, and evaluate the enterprise credit according to the related information.
The server according to claim 7, wherein the processor is configured to query, by the server, the default amount and the default amount of the contract of the enterprise information from the related information, if the default data and the default amount exceed When the threshold is set, the company is evaluated as dishonest.
The server according to claim 7, wherein the processor is configured to query, from the related information, whether there is a number of court unexecuted cases and an amount of money of the enterprise, and if yes, the enterprise Evaluation is dishonest.