What does the new ranking of Aurora Big Data mean?

Aurora iAPP is a data service product that provides mobile Internet investors with industry trend insights, mobile application monitoring (user characteristics analysis and operational data analysis), and comparative analysis of competing products.

The main functions include: application list, ranking analysis, operation analysis, usage habits, user characteristics, competitor comparison, etc.

Aurora focuses on providing mobile application developers with stable and efficient developer services such as message push, instant messaging, statistical analysis, social components and SMS. Based on the accumulation of massive data and insights, Aurora has expanded its business to the field of big data services, including precision marketing (Aurora Effect), financial risk control, market insight and business geographic services (Aurora iZone). Aurora will continue to use artificial intelligence and machine learning to empower mobile big data, and is committed to improving operational efficiency and optimizing decision-making for society and all walks of life.

The new ranking of Aurora Big Data is to improve the competitiveness of products.

1. Wide coverage.

The SDK has been installed in more than 1.4 million apps in China, covering more than 90% of mobile terminals in China, and monitoring hundreds of millions of monthly active devices. 22 primary industries, 206 secondary industries 2 million + apps. Competitors generally cover tens of thousands of apps.

Stove Rock. 2. The data is accurate and compliant.

The data source is Aurora SDK's own data + operator + mobile phone manufacturer, the data is more accurate, and there is no risk for enterprise use. (Competitors don't).

3. Fast update speed.

Daily indicators (DAU, new, penetration, etc.) are launched on T+2, and monthly indicators (MAU, user portraits, industry analysis, etc.) are launched on T+8.

4. The product is rich in functions.

6 sub-products, 30+ functional modules. It contains many unique functions, such as Aurora Index, Enterprise Analysis, Sinking Analysis, Opportunity Discovery, Fastest Rising Gear Defense, etc.; Due to the large enough sample size, the new and active dimensions of our products can be viewed by city, which is not possible with competing products.

5. There are many product coverage indicators.

200+ key operational indicators; 18 tag categories, more than 1000 user tags. Competitors need to purchase multiple products, because some versions have DAUs, but there are few indicators; Some versions have many indicators, but there is no dau

Aurora Big Data: 3 percent of netizens have more than 200 friends, but no more than 20 people communicate every week.

Aurora (NASDAQ.

Founded in 2011, it is a leading mobile big data service platform in China.

Aurora focuses on providing mobile application developers with stable and efficient developer services such as ZenPai, instant messaging, statistical analysis, social components and SMS.

As of June 2018, Aurora has provided services for 10,000 mobile app developers and 10,000 mobile apps, with nearly 15 billion SDK installs and nearly 1 billion unique active devices per month.

Based on the accumulation of massive data and insights, Aurora has expanded its business to the field of big data services, including precision marketing.

Aurora effect), financial risk control.

Market insights and business geography services (Aurora izone).

Aurora will continue to use artificial intelligence and machine learning.

Empowering mobile big data, we are committed to improving operational efficiency and optimizing decision-making for society and all walks of life.

Aurora Big Data's Aurora Research is a combination of big data mining and research methods, providing a full range of research services such as user churn and preference attribution analysis, market trend analysis, product experience and marketing effect analysis for the purpose of enterprise investigation.

Big data accurate geography: covering the first to fifth tier groups in China, online delivery, cost savings.

Customized research: 1000+ accurate user tags, data mining and research expert team.

Product advantages: high-precision target population screening.

1000+ smart tags.

Precise geolocation.

Coverage of cities below the third tier.

Ensure sample randomness.

900 million+ monthly active devices.

90% mobile device coverage.

Questionnaires are available in abundant channels.

Aurora Effect, third-party advertising platform cooperation, etc., to answer the multi-channel optimization delivery.

High-quality questionnaire data, verified by authenticity, scientific and objective.

Random selection from countless devices, closed-loop tracking, and cross-verification of Aurora big data.

Eliminate the phenomenon of sample falsification and prevent the infiltration of the wool party.

Customized services to achieve efficient and refined research goals.

It complements other products of Aurora and customizes a scenario-based comprehensive solution.

Anti-fraud is a part of risk control. Whether it is financial anti-fraud for financial risk control, or non-financial anti-fraud for business risk control. The so-called big data financial risk control or anti-fraud enterprises really have no big data, and there are serious defects in terms of data magnitude, dimension, and authenticity.

The whole industry is still in the stage of engaging in concepts and fooling investors. Personally, I believe that the main bottleneck is the lack of personal credit data of mutual finance users, because there is no real, credit-related user data cover branches, so the model and technology are just flickering materials, no good effect.