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App big data analysis system

Development Guide

Through appinner, discovering optimal design patterns and most popular thirdparty software packages, inlighting into the latest development trends and capturing the rapid-rised new direction of App .

Security analysis

Using innumerable App data provided by appinner to analyse malicious code, detect vulnerability, access the scope of the thread, discover the latest App download hijack and the risk of counterfeiting, etc.

Industry analysis

Appinner helps industry analyst to find Mobile economy s latest changes and hot spots, provide them the first-hand information and analysis data .

Competitive analysis

Understanding the competitors from the inside to the outside, finding the secret of Apps growth from application code: discovery potential competitive clue and the strategic layout of competitors .

Apps related information searching

Appinner provides up to 20 dimensional application attribute data, including Apps functional design, architecture options, operational data,etc. Simple search can realize quick look for known applications, advanced search helps to narrow the seach and combinatorial searchgives precisepositioning.

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Discovering Apps inner link

Apps are not mutually independent, they are closed connected by the developers, popular SDK, attractive background services and internal key components. By analyzing the relationship amongthem, we can get unexpected surprises.

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Establishing your own analysis cases

For long-term track special Apps, you can create your own analysis cases, then manage and track them. Moreover, you can obtain chart analysis report based on these cases. Long-term updated reports will show change trends dynamically.

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Deep data-mining through machine learning

Appinner provides not only scientific data statistics and visualization, but also provides machine learning-based data analysis. You just need a good idea to do innovative data analysis by using appinner’s mass of apps internal data.

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