英文摘要
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With the changing competitive environment, business decision makers are paying more and more attention to the assistance that data may bring. However, a large amount of raw data comes with inconsistent formats and messy arrangements which increase the level of difficulty for reading and understanding. Therefore, information visualization has become an easy and meaningful way to understand data. This research is based on the service history of road rescue companies from January 2017 to June 2020 and the open data from the Ministry of the Interior and the Central Weather Bureau to conduct to conduct researches on three stages, respectively: enterprise corporate data collection & sorting, data warehousing, and information visualization platform system construction. An Excel Power Business Intelligence (BI) Tool is used to create a brand new business intelligence system. In the presentation of road rescue service data analysis, infographics are classified into four modes: (1) Data fusion presentation, (2) Time series presentation, (3) Future forecast presentation, and (4) Spatial geographic location presentation through required interviews with business decision makers as well as literature discussions. To assist companies with road rescue services, the correlation between internal and external information is analyzed effectively. Through visualized information presentation, the market development trend can be grasped quickly to improve the accuracy and validity of decision-making.
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