비즈니스 인텔리전스와 빅데이터 분석의 비즈니스 응용

• 영문명: A Business Application of the Business Intelligence and the Big Data Analytics
• 발행기관: 한국산업경영시스템학회
• 저자명: 이기광(Ki-Kwang Lee) 김태환(Tae-Hwan Kim)
• 간행물 정보: 『산업경영시스템학회지』제42권 제4호, 84~90쪽, 전체 7쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2019.12.30

영문 초록

Lately, there have been tremendous shifts in the business technology landscape. Advances in cloud technology and mobile applications have enabled businesses and IT users to interact in entirely new ways. One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. BI is the collection of systems and products that have been implemented in various business practices, but not the information derived from the systems and products. On the other hand, big data has come to mean various things to different people. When comparing big data vs business intelligence, some people use the term big data when referring to the size of data, while others use the term in reference to specific approaches to analytics. As the volume of data grows, businesses will also ask more questions to better understand the data analytics process. As a result, the analysis team will have to keep up with the rising demands on the infrastructure that supports analytics applications brought by these additional requirements. It’s also a good way to ascertain if we have built a valuable analysis system. Thus, Business Intelligence and Big Data technology can be adapted to the business’ changing requirements, if they prove to be highly valuable to business environment.

목차

1. Introduction1

2. BI vs Big Data

3. Business Application of Big Data

4. Business Application of BI

5. Conclusion

키워드

Business Intelligence Big Data Analytics Data Mining Business Application