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Network black big data query, a glance, known as "microscope level" query tool!

Source: excellent group -- the first brand of credit and financial training. Release time 2018-07-21


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It can be called "microscope level" query tool for user big data.
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With the upgrading of Internet technology, we use the Internet all the time. Nowadays, the concept of big data has gradually penetrated into the development of society. Big data technology has also been applied to various industries, such as medical treatment, net loan, online shopping platform and so on.


What does that mean?


Many people do not understand what is big data. For the borrower or the so-called "user" of Internet finance, the meaning of big data is to collect personal information as much as possible, and obtain the user's credit status after processing, sorting and analyzing the information.

For example, Alipay's Sesame credit score is Alipay's score by collecting, sorting, and analyzing information about user's property, behavior preferences, contacts and historical credit.


Big data can help to provide products that can not be provided under traditional mode, satisfy users' needs, improve the credit reporting system with big data, help financial institutions provide financial products, reduce credit risks, on the other hand, big data can also create demand, can help realize artificial intelligence, use massive data to calculate, and analyze the inherent rule system through learning the rules. We should improve the scoring model, optimize the examination and approval, and get better customers, collect more massive data, get more effective rules, further optimize the scoring model, optimize the examination and approval, and so on.


What tools can we use to check our big data? Today Xiaobian gives you a good tool to check big data.

This data query tool has two sections, personal network credit report query and intermediary professional edition net loan data query. It covers user evaluation, panoramic detection, loan application status, risk prediction, network asset status and communication analysis.


Bright spot

introduce


Core engine: super precision big data grabbing Technology

Independent research and development: one key to generate user big data analysis report

Microscopes: Panoramic detection of 198 details of user lending behavior and risk analysis

Net bag artifact: essential for big data inquiry, Pocket Monster in pocket!

On the 68 day, the technical team is making great efforts to build it.

198 big data detailed detailed inquiry!

1 key to generate user data evaluation report!

1000 front-line mutual gold intermediary recommended after the actual measurement!

It can be called "microscope level" query tool for user big data.



tool

introduce


Query section: comprehensive evaluation of the 8 major projects



Plate user basic information


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Two user evaluation analysis of plate


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User data evaluation, user data through risk engine evaluation, multi-dimensional display of user data quality, through the quality of user data to determine the user and net loan pass rate, and the estimated amount of the next amount. To detect the risk of user data in various ways, avoid touching the red line of net loan.


Section three user contacts analysis


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The user contacts analyze the close contacts of the user, the number of calls and the maximum number of contacts. Through risk monitoring comparison library, the risk label users in user contacts are cleaned.


Plate four user panorama detection


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The corresponding data in the database can be obtained through user authorization. For example, the highest level of credit, the average credit line, the number of net loan applications, the number of applications for cancellation, the historical deduction, the number of failures, the number of recent loans and the monitoring of user risk. Data coverage is wide.


Module five loan application / overdue condition


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It shows the total application status and overdue condition of the user loan. If the database has corresponding data, it will be like overdue details and whether the overdue days are settled.


Plate six user risk detection


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Monitoring user credit risk. Data such as dishonesty or being executed.


Plate seven user network asset status


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Display user network assets, spend the current quota, spend credit lines and so on. It can better analyze users' consumption situation in the last month, three months and six months, and directly show the user's receiving address and common receiving address.


Eight user communication analysis of plate


 Picture 9.png Detection and analysis of the user's communication behavior can show the risk of user communication behavior, multi loan, risk call and so on.


The intimate little editor has provided you with a big data user manual.



Use

Explain


Reminder: First query the service password of your mobile phone card, you can play the corresponding service query of the platform. You can also send SMS to query. In search, we must keep the network in good condition and not break the network.

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Step one: Open the lecture hall and click the bottom data query at the bottom of the menu bar.

The second step: To grant authorization

The third step: After entering the phone number, click to get the verification code. After receiving the message, enter the mobile verification code and click on login.

The fourth step: Click on user qualification for one key evaluation

The fifth step: User data panoramic evaluation and personal network credit reporting

Reminder: The intermediary can use user data panoramic evaluation to query the customer's credit report, which contains Taobao data information; personal network credit report can query personal credit report or query other people's credit report, but there is no Taobao data information.

The sixth step: Click on the personal network credit report query and will prompt, click OK to enter the page, there are two options, personal enquiries and other queries, click on the options you need and fill in the information, after all information is completed, click on the query.

Be careful: The name of the information is entered; the ID card number and the phone number must be the same information; that is, the ID card information when the registration number is registered, and the name must be exactly the same as the information here.

The seventh step: Data query to fill in personal information, matters needing attention and the same. After query, it will skip to the recharge page. Once each query is 19 yuan, you can recharge it as required.

The eighth step: After recharging, it will jump and finish and enter the waiting page.

The ninth step: Receive verification code, input, complete query.

User data panoramic evaluation procedures and personal network credit reporting procedures are the same, but we should pay attention to the completion of customer information after your cell phone will jump out of a two-dimensional code, the two-dimensional code time is limited, so customers need to open the phone Taobao in advance, sweep the two-dimensional code.

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Be careful: You can't mediate your own Taobao scan code, because you jump back to the main screen to open Taobao app, which makes the entire query fail. Therefore, if intermediaries want to check their own network big data, it is recommended to query with personal network newspapers instead of using intermediary channels.

Here is another detail. After the scan is completed, the client must click and confirm, then click again to confirm.


It can be called "microscope level" query tool for user big data.

July formally launched, looking forward to your use!




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