financial special training meeting of 2020 half year meeting of KEYUN Group
on the afternoon of July 19, 2020, the financial managers of the group's subsidiary companies gathered in the small conference room of Jizhou Fangu Mijing park to hold a training meeting on financial management data analysis model and investment analysis model. With the vigorous development of digital economy, unprecedented changes have taken place in the business model. Customer orientation, employee initiative, global resources, data-driven, intelligent operation and enterprise digitalization are all in full swing. Financial transformation has entered a new stage of digital intelligence. Industry finance integration, real-time accounting, data intelligent sharing and enabling operation have become the inevitable trend of financial management development, and the improvement of data quotient and intelligent reporting efficiency has been achieved Changing the positioning has become a new trend in the future development of group finance. In view of the problems existing in the financial management of each company and the new changes and trends mentioned above, the annual half year meeting of group finance in 2020 will be held in the form of expert training. This training is invited to: Introduction of model trainer Mr. Ye graduated from Harbin Institute of technology with a bachelor's degree in computational mechanics and a master's degree in statistics. He once served as senior vice president of big data group of Harbin Institute of technology, and as chief architect of Oracle (China) Co., Ltd. and bea systems (China) Co., Ltd. for 15 years. The first generation of front-end development engineer of sina. Led many large-scale system development and architecture design work. For example, the online mall of China's national e-commerce center has participated in the construction of Jinbao and Jinshui projects, and obtained the support of provincial scientific research funds. He is currently working in qlik as chief data analyst. The main contents of the training include: Chapter specific content Data analysis basic data analysis methodology introduces the standard methodology of data analysis, introduces the current mainstream data analysis and data mining method system, so as to have a certain understanding of data analysis. A brief introduction of statistical modeling methods, describes the principles of descriptive statistics and inferential statistics. This paper introduces the general process of statistical modeling, so as to have a certain understanding of the principle and process of statistical modeling. Statistical modeling and forecasting use regression method to forecast. This paper introduces the principle of linear regression model, introduces the modeling method of linear regression model, and forecasts through linear regression model. The concept, principle, method and application of time series model are introduced. This paper introduces how to forecast by time series model. Introduction to operations research solving linear programming problems with Excel. This paper introduces the concept and principle of linear programming problems, and how to find the optimal solution of linear programming problems through Excel. Data layering and clustering simple data processing and perspective introduces how to summarize, process and perspective data. A brief introduction of clustering algorithm introduces the principle of clustering algorithm and how to layer data by clustering algorithm. Through the data case of Keyun-Kifa company, this paper introduces the thinking and establishment process of the whole data analysis model. Through three hours of training and case operation, we have achieved the expected goal of expanding management vision and opening digital thinking. In the future, we will strengthen and cooperate with the group's strategic management and control in two aspects 1. In the face of low overall net interest rate and low capital turnover efficiency, which leads to low return on investment, it is urgent for financial managers to study hard and master the establishment of investment return analysis model and standard, assist managers to predict and coordinate the company's operation or project operation, establish evaluation mechanism, and closely follow the group's strategic positioning, adjust the direction of capital investment and investment For the projects with low net interest rate and low return on investment, timely closing, stopping, merging and transferring should be adopted. 2. Timely grasp and adapt to the new trend of industry finance integration and digital intelligence empowerment, strive to change the passive situation of financial management supporting company's weak operation ability, assist business to establish data analysis and prediction model, so as to build customer credit evaluation, screening and hierarchical system, and optimize the company's customer acquisition ability.
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