Esearch On The Refined Operation Strategy Of Education And Training Enterprises Under The Big Data

With the vigorous development of China's education and training industry,more and more education and training institutions,competition is also growing,traditional operational management tools can't meet the needs of the survival and development of training institutions.Refined operations can expand the content of training,ensure the quality and the flexibility of business education and training,tap the needs of customer training,and bring unlimited vitality to education and training institutions.When the big data horn is more and more loud,how to combine the effective operation of big data with the operation of education and training institutions to achieve precise operation has become the focus of training institutions.This paper uses questionnaire survey,data analysis method,case analysis method,etc.to study the refined operation strategy of education and training enterprises in the era of big data,combined with the current characteristics of big data era and the status quo of education and training industry,analyzes the big data to the education and training industry customers.On the basis of this,taking the H education and training institution as a case,using the PEST analysis method and the SWOT analysis method to grasp the internal and external environment of the refined operation of the H education and training institutions,and adopting the "Educational Training Institutions Refined Operation Questionnaire" for H education.The training organization refined the status quo of the operation to investigate,combined with the data analysis H education and training institutions to refine the existing problems,and proposed the use of big data to reconstruct the refined operation mode.Finally,combined with the characteristics of big data,the H-education training organization refined operation big data platform was constructed,and the refined operation strategy of customer segmentation,marketing and internal and external operations of H education and training institutions under the background of big data was proposed.In the specific analysis process,the K-means clustering method is used to segment the customers of the H education and training institutions.Through data collection,data preprocessing,and big data mining,the customer segments of the H education and training institutions are obtained.To develop customer personalized management strategies to provide reference for the rapid development of education and training industry in the era of big data,and use big data to promote innovation and development of education.