Data Analysis Method In Common Scenarios Of Finance

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The overall introduction of data analysis, the idea of dimensional disassembly, serial substitution, retention analysis；The lecturer will introduce the data analysis as a whole, and provide the idea of dimension disassembly through business processes and actual scenarios;Three methods of basic data analysis are provided: serial substitution method, retention analysis method and funnel analysis method.Finally, based on their years of work experience, the lecturers will share and summarize the ideas of business data dimension disassembly, as well as the application scenarios and matters needing attention of data analysis methods.Overall introduction to data analysisThe idea of dimension disassemblySignificance of dimension disaggregationBusiness process and three elementsCase – How to analyze the decline in the conversion rate of users’ orders – the rise in the credit card cancellation rate in three monthsThree, serial substitution methodApplication scenario: quantify the influence of child indicators on parent indicatorsPrinciple and model introductionRetention analysisApplication scenario: Optimize user experience and improve retention Method application cases Funnel analysisApplication scenario: Application case of targeted optimization of key node methodLecturer: Engaged in data science and data analysis in the credit center of Tencent and large joint-stock banksMore than 5 years of experience in the development, analysis and implementation of the whole data process. Familiar with the specific application of data in financial customer acquisition, risk management and other fields

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