An Implementation of Call-Center Data and Activities Analytics Using ELK Stack Environment

• Main Authors: Chih-Kai Yang, 楊智凱
• Other Authors: Chao-Tung Yang
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/4682ft

碩士 === 東海大學 === 資訊工程學系 === 106 === Cloud computing, Internet, machine learning, Internet of things and Big data has become a Big data era of technology this paper using ELK Stack deal with large data. ELK is based on Elasticsearch (E), Logstash (L), Kibana (K) three systems to handle large amounts of data. In each company or school and even any organization may establish a Call-Center (voice call center) environment. The Call-Center environment generated by the voice data into the ELK Stack for analysis and comparison and thus provide users with more accurate and reliable dialing behavior. Assist the future for a specific time period a specific person. The effective recommendation of the user to improve the completion of efficiency.ELK Stack system with Call-Center needs analysis of voice data. The paper experiment currently combines the voice data center age, activity information, willingness to join or not. The ratio of men and women analysis with reference to the field of data. Such as dial-up rate and dial-up time and as to be able to analyze or assist callers in raising telephone calls to enhance the enthusiasm and interest of customers. The analysis results are provided in a more effective manner at the right time System users and decision makers.