What is String Enhanced Analysis (Hangzhou Chenfeng Qingxing Technology Co., Ltd.)? String Enhanced Analysis (Hangzhou Chenfeng Qingxing Technology Co., Ltd.) Review, Features

What is String Enhanced Analysis (Hangzhou Chenfeng Qingxing Technology Co., Ltd.)? String Enhanced Analysis (Hangzhou Chenfeng Qingxing Technology Co., Ltd.) Review, Features

String Enhanced Analysis (Hangzhou Chenfeng Qingxing Technology Co., Ltd.) helps business personnel ask questions about the business indicators they care about most in a search box, locate the reasons for data changes and develop action plans, helping companies make decisions quickly and efficiently.

About String Enhanced Analysis (Hangzhou Chenfeng Qingxing Technology Co., Ltd.)

  • String enhanced data analysis tool, A big data computing is specifically designed to solve massive Ad-hoc analysis problems with high analysis difficulty and delicate analysis granularity requirements. Relying on AI big data precise calculation, automated feature engineering, and feature screening algorithms that adapt to ultra-high dimensions, it conducts comprehensive inspections on tens of thousands of factors and detects the possibility of millions of permutations and combinations. Data analysis is highly accurate and can easily handle difficult business data problems with tens of thousands of data dimensions;
  • String releases more data analysis potential of the analysis team and empowers the market and operations departments to easily get started without programming. Ask questions in Chinese natural language in a search box and get feedback on data analysis results in seconds, greatly reducing communication costs and the opportunity cost of waiting for data analysis results.
  • String enhanced analysis tools do not require personnel maintenance or multiple dashboard analysis. Indicators are clearly defined, and data across departments is truly synchronized in real time. The calculation results are fed back in seconds, answering your questions about what the current data is, what changes have taken place, why the data has changed, what to do, and what to do next.


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