摘要
時代的變化引領著生活中的每一件事情，科技進步、材料的革新，都是每一個不容小覷的因素。網路時代的開啟促進了更多交流，不斷增加的資料量，包括企業因持續經營所積累的交易數據等。龐大的資料帶來了更多值得研究的隱藏資訊。我們認為資料視覺化可以快速地為使用者提供更好的方式去理解資料。避免過於繁雜的資料所帶來的不便。本論文透過使用Opview以及Tableau商業智慧平台進行實作電信業實作分析，首先在Opview社群聆聽平台之實作中我們探討了台灣中最大的五家電信公司(中華電信、台灣大哥大、遠傳電信、台灣之星、亞太電信)去進行研究。對於五家電信公司我們設定了5個關鍵因子去分析，包含頻寬、收訊、網路、wifi及熱點，分析探討完之後發覺其中最重要的因素包含網路、頻寬及收訊，使用完Opview商業智慧平台我們決定利用已蒐集到之中華電信頻寬資料，進行Tableau實作，分析需求、歷年頻寬變化量，了解使用者對於頻寬使用之視覺化圖形呈現。本研究透過使用Tableau智慧商業平台進行實作範例中華電信60,000筆資料，提供後繼的研究者一個視覺化研究的參考。
並列摘要
The evolution of time leads everything happened in the daily life. Both the advances of science and technology and the innovations of materials are important factors of the advance. The Internet promotes more interactions and produces much data. For the accumulation of transactional data from business operation are increasing rapidly, so the study for analyzing big data becomes more and more worth to discover the hidden information among the huge data in hand. In general, the technique of data visualization can quickly provide users with a better way to understand the data. It also avoids the inconvenience caused by too complicated information. In this thesis, two business intelligence platforms, named Opview and Tableau, are applied to analyze the big data produced by telecom industry. First, this work explores the top five telecom companies in Taiwan, such as Chunghwa Telecom, Taiwan Mobile, Far EasTone Telecommunications, Taiwan Star Telecom, and Asia Pacific Telecom, by using Opview social listening platform. For the five telecommunications companies, five key factors are setted for analysis, including broad band, receiving, network, wifi and hot spots. From the result of our analyses by way of Opview implementations, we concluded that the significant factors concerned from end users are the network, broad band and receiving. Thereafter, this study adopts Tableau software to analyze the data of the broad band provided by Chunghwa Telecom to find out the demand analysis, the amount of varieties of bandwith in late years and to locate the concerns of users by way of the presentation of visional graphics. Moreover, this study analyzes the data with sixty thousand records, which are provided by Chunghwa Telecom, by using the business intelligence platform of Tableau. The analyzed results of this study can provide a valuble reference of visualization research for follow-up researchers.