本課程為管院AI學程課程之一，因應國際"From AI to BI"之課程設計趨勢。人工智慧主要有兩派應用:以電腦模擬人腦、以電腦支援人腦。前者主要為機器學習，後者在商管領域主要為商業智慧(BI)。以Google Trends分析全球趨勢可發現，BI近年成為E化需求第一名，同時也是未來行動應用需求的第一名，亦和巨量資料分析(Big Data)相呼應。
本課程旨在使學生具備善用資訊科技分析各類資料的能力，以實用為原則，不深入介紹複雜抽象的理論，而以深入淺出方式介紹企業用BI-鼎新V-Point、自助式BI-微軟Power BI等軟體，讓學生能從做中學具體了解，進而提升實務應用能力。期能讓學生在修完課後可以直接考取經濟部及教育部核可之BI軟體應用師證照，並強化專業知識以應付職場與研究所應試需求。This course is one of the AI courses in the management institute, and it is in line with the international "From AI to BI" course design trend. There are two main applications of artificial intelligence: using computers to simulate human brains and supporting human brains with computers. The former is mainly machine learning, while the latter is mainly business intelligence (BI) in the business management field. Google Trends analyzes the global trends and can be found that BI has become the number one in E-demand demand in recent years, and it is also the number one in future mobile application requirements. It also corresponds to Big Data Analysis (Big Data).
This course aims to enable students to make good use of information technology to analyze various types of data, and use practical as the principle, without in-depth introduction of complex abstract theories, but in-depth introduction of BI-Dingxin V-Point and self-service BI-microphone for enterprises in a thorough and pure way Software such as Power BI allows students to learn a specific understanding through work, thereby improving their practical application capabilities. This will allow students to directly obtain the BI software application certificate approved by the Ministry of Economics and the Ministry of Education after completing the course, and strengthen their professional knowledge to meet the requirements of the field and institutes.
企業電子化對現代企業經營的重要性已無庸置疑。企業經由諸如ERP、SCM、CRM等各種資訊系統累積了多年的營運資料之後，自然會進一步想充分分析與運用這些資料以幫助企業營運。如果說ERP等系統是現在式，BIS則可稱為未來式。漸漸的會有越來越多的企業體悟到導入BIS的需求。
企業智慧系統包括兩大類技術：了解過去—資料倉儲與線上即時分析（OLAP）；預測未來—資料探勘。因此本課程的目的便是培養BIS的規劃建置與軟體應用的人才以迎合此需求，期能讓學生在修完課後可以直接考取經濟部及教育部核可之BI軟體應用師證照。
此外，本課程亦深入簡出介紹多種智慧型系統，讓學生得以強化專業知識以應付職場與研究所應試需求。
The importance of enterprise electronics to modern enterprise operations is beyond doubt. After accumulating operation data from various information systems such as ERP, SCM, CRM, etc. for many years, the enterprise will naturally want to fully analyze and use these data to help the enterprise operate. If systems such as ERP are current, BIS can be called future. There will be more and more companies that have realized the need to enter BIS.
Enterprise intelligence systems include two major technologies: Understanding the past—data storage and online real-time analysis (OLAP); predicting the future—data exploration. Therefore, the purpose of this course is to cultivate talents in BIS planning and software application to meet this demand, so that students can directly obtain BI software application certificates approved by the Ministry of Economics and the Ministry of Education after completing the course.
In addition, this course also provides in-depth introduction to a variety of intelligent systems, allowing students to strengthen their professional knowledge to meet the needs of their jobs and institutes.
(1) 商業智慧深化應用：落實企業績效管理，鼎新電腦編著
(2) Power BI零售大數據分析應用：強化工作效率，掌握市場先機！(第二版)、謝邦昌, 蘇志雄, 宋龍華、碁峰出版、2020
(3) 其他中英文課外補充教材
(投影片請至教學平台下載，作業繳交亦請上傳至教學平台)
(4) 使用軟體
鼎新V-Point EIS
Microsoft Power BI
(1) Deepening application of business wisdom: Implement enterprise performance management, edited by Dingxin Computer
(2) Power BI retail large data analysis application: Strengthen work efficiency and master the market first! (Second Edition), Xie Bangchang, Su Zhixiong, Song Longhua, Qi Feng Publishing, 2020
(3) Other supplementary textbooks for Chinese and English courses
(For projection videos, please download them on the teaching platform, and for work payments, please upload them to the teaching platform)
(4) Use software
Dingxin V-Point EIS
Microsoft Power BI
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| 期中考期中考 Midterm exam |
30 | 筆試 (BI證照考試模擬考) |
| 期末報告期末報告 Final report |
30 | 須找尋實際資料，運用Power BI進行分析 |
| 上機作業上機作業 On-machine operation |
10 | 上機作業 (只要跟著上機實作即可完成) |
| 平時成績平時成績 Regular achievements |
30 | 出席率與上課表現 (點名五次以上(含)未到，平時成績0分) |
