Research And Analysis Of After-sales Data Of Flexible Package Printing Equipment Based On Hadoop

With the rapid development of technology,the market competition of enterprises has become increasingly fierce.As a printing equipment manufacturer in the traditional industry,its after-sale maintenance service has also become one of the important competitiveness of the company.How to excavate useful information from a large amount of historical maintenance data and display it intuitively becomes an important topic,and it is also an urgent desire of printing equipment manufacturers.The article makes use of the after-sale data records of Shaanxi Beiren Printing Machinery Co.,Ltd.Different methods are used to analyze the customer data,product data,and maintenance record data via statistical analysis and mining analysis.The results would provide guidance for companies in the after-sales service.Data analysis includes data preprocessing,data analysis,data storage,and platform visualization.First,it performs data cleaning and other preprocessing operations to deal with the problems of a wide variety of existing maintenance data,multiple dirty data,and many textual descriptions etc.Then building a data model of algorithm analysis to statistical research of customer area characteristics,customer purchasing power,product sales and maintenance,maintenance service efficiency,failure rate and other issues.Mining analysis uses the big data Hadoop processing platform to implement K-means algorithm for customer's parallel cluster analysis and Collaborative Filtering Algorithm for parallel recommendation analysis of Product-Maintenance Accessories.Finally,the data storage method is designed to meet the business data operations and data analysis operations by combining the relational database SQL Server and the Hive data warehouse on Hadoop.The establishment of the Hive data warehouse lays the foundation for further analysis on the Hadoop platform.Establishing Shaanxi Beiren Cloud Center background management platform system based on the above analysis and research results,which is divided into four modules:customer management,product management,after-sales management,and data analysis.The use of data visualization technology to display the results of diversification,more intuitive access to the company's sales,production,after-sales and other aspects of valuable data information,improve after-sales data analysis technology of the flexible packet printing equipment company.