CDA Suning Yunshang Group's data mining talent training is a complete success

2021-08-17

From June to September 2017, CDA data analysts conducted a talent training program with the theme of "R language data mining" in Suning Yunshang Group (Suning Nanjing Headquarters), targeting Suning Data Management Department, Customer Service Department, A total of more than 40 employees in the general management office, logistics sector, financial sector, supermarket sector and major categories provided comprehensive guidance. On September 16, the CDA data analyst's talent training program in Suning Cloud Business Group ended successfully.



Company Introduction
Suning Yunshang Group Co., Ltd. (Headquarters)
Suning Yunshang Group is a leading commercial retail enterprise in China. In 2016, Suning ranked 13th in the "China's 500 Most Valuable Brands" with a brand value of 158.268 billion yuan, ranking first in the retail industry.

Founded in 1990, Suning adheres to the essence of retail, facing the Internet, Internet of Things, and big data era, continues to promote O2O transformation, full-category operation, omni-channel operation, global expansion, open logistics cloud, data cloud and financial cloud The POS terminal, PC terminal, mobile terminal and home terminal cooperate to realize the ubiquitous one-stop service experience.

In 2017, Suning Yunshang is building the core competitiveness of the three business units of retail, logistics, and finance, focusing on channel construction, commodity supply chain improvement, and service experience enhancement, and strengthening service capabilities for consumers, upstream suppliers, and partners. Use the Internet and Internet of Things technology to perceive consumption habits, predict consumption trends, guide manufacturing, provide consumers with diversified and personalized products and services, and innovate new smart retail models.

brief introduction
(1) Data mining for marketing activities and risk control
(2) Data analysis and processing in R language
(3) Descriptive statistical analysis and drawing in R language
(4) Basic data mining and data pre-processing technology, and formed data warehouse
(5) Utilize key variable mining technology to make key variables that are effective for project goals
(6) Use the classification technology of Bayesian network and decision tree to establish a cross-selling model to improve the company's profit
(7) Use the neural network of classification technology and logistic regression to establish a credit scoring model to reduce company losses
(8) Use more advanced classification technology to improve the classification efficiency of the model and increase the company's profit
(9) Use the linear regression, regression tree and neural network of prediction technology to establish a numerical prediction model-such as predicting the customer's annual income, so that the company can design marketing activities
(10) Use the time series of forecasting technology to establish a numerical forecasting model-such as forecasting the sales volume of specific products, so that the company can plan marketing activities
(11) Use clustering technology to establish a customer group analysis model, so that enterprises can use different marketing strategies for different customer groups to maximize the company's profit
(12) Use correlation and sequence analysis techniques to establish cross-selling and sales promotion models to improve the company's profit (13) Project combat 1: retail big data promotion project
(14) Project II: Retail product recommendation

(15) Project actual three: the establishment of bank credit risk score card



Student evaluation

In this activity, the students gave unanimous praise for the sharing of Teacher Chang, Teacher Li, Teacher Xiong and Teacher Xu. It was suggested that the design of the CDA training system is clear, the content is interlinked, and it is very practical. Most of the knowledge in the classroom can be immediately put into use for Suning's existing business.








Leader evaluation
One of the sponsors of the planned project, Manager Song of Suning ’s data management department said, “The ten-day CDA Data Modeling Analyst Talent Program is short and long, and all the highly skilled and experienced industry teachers explained the Applications, hands-on technology, algorithm theory and case studies have built a complete knowledge structure for the students and broadened the horizons of the students who participated in the data analysis. The data can still be "played" like this. Our original intention of training is to keep up with the times The development of the company has improved the capabilities of data analysts and led the company to inspire broad incremental value. With Suning's massive data and strong technical support, I believe that everyone can not forget their original intentions after in-depth and fun "fun" training. With feelings and a sense of mission, we will continue to improve ourselves in the future, and use the power of big data prediction to guide the company to create more intelligent products, thereby enhancing the company's core competitiveness, brand influence, and market profit! " CDA data analyst training in special courses, CDA exam certification, project consulting and talent delivery Many ways to achieve more in-depth cooperation.

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