Customer Satisfaction Evaluation Method Based on Big Data

AbstractThe traditional data of satisfaction evaluation comes from questionnaire survey, however, the accuracy and objectivity need to be strengthened, the practical application value is limited. The output of the research is usually the result of satisfaction evaluation, but the deep reasons of low customer satisfaction are not deeply explored. The purpose of this study is to propose a new customer satisfaction evaluation method system based on big data. According to different data collection methods, three evaluation methods are proposed, namely business big data evaluation, crawler big data evaluation, hardware big data evaluation and so on, to test and evaluate the real customer satisfaction level. These methods are helpful for enterprises to strengthen innovation, so as to improve customer satisfaction and loyalty.KeywordsSatisfaction evaluationBig dataText miningEmotion analysis