DOI QR코드

DOI QR Code

Big Data, Business Analytics, and IoT: The Opportunities and Challenges for Business

빅데이터, 비즈니스 애널리틱스, IoT: 경영의 새로운 도전과 기회

  • Received : 2015.12.20
  • Accepted : 2015.12.29
  • Published : 2015.12.30

Abstract

With the advancement of the Internet/IT technologies and the increased computation power, massive data can be collected, stored, and processed these days. The availability of large databases has brought forth a new era in which companies are hard pressed to find innovative ways to utilize immense amounts of data at their disposal. Indeed, data has opened a new age of business operations and management. There are already many cases of innovative businesses reaping success thanks to scientific decisions based on data analysis and mathematical algorithms. Big Data is a new paradigm in itself. In this article, Big Data is viewed as a new perspective rather than a new technology. This value centric definition of Big Data provides a new insight and opportunities. Moreover, the Business Analytics, which is the framework of creating tangible results in management, is introduced. Then the Internet of Things (IoT), another innovative concept of data collection and networking, is presented and how this new concept can be interpreted with Big Data in terms of the value centric perspective. The challenges and opportunities with these new concepts are also discussed.

Keywords

References

  1. Ward, Jonathan Stuart, and Adam Barker. "Undefined by data: a survey of big data definitions." arXiv preprint arXiv:1309.5821 (2013)
  2. Manyika, James, et al. "Big data: The next frontier for innovation, competition, and productivity." (2011)
  3. Davenport, Thomas H., and Jeanne G. Harris. Competing on analytics: The new science of winning. Harvard Business Press, 2007
  4. McAfee, Andrew, et al. "Big data." The management revolution. Harvard Bus Rev 90.10 (2012): 61-67
  5. Big Data, Analytics Big Data, Analytics and the Path From Insights to Value - The Magazine - MIT Sloan Management Review, Winter 2011
  6. Sathi, Arvind. Engaging Customers Using Big Data: How Marketing Analytics Are Transforming Business. Palgrave Macmillan, 2014
  7. Too Big to Ignore: The Business Case for Big Data, Phil Simon, Wiley, 2013 - 당신의 흔적에는 기회가 있다, 장영재/이유진 번역, 한국경제신문사, 2015
  8. Caro, Felipe, and Jeremie Gallien. "Inventory management of a fast-fashion retail network." Operations Research 58.2 (2010): 257-273. https://doi.org/10.1287/opre.1090.0698
  9. 코오롱-카이스트 빅데이터와 비즈니스 애널리틱스를 활용한 리테일 연구 - 2014년 연구보고서, 장영재, 2014
  10. 경영학콘서트, 장영재, 비즈니스북스, 2010
  11. "빅데이터를 활용한 동계스포츠 과학화," 미래부 스포츠 산업융합 연차 보고서, 장영재, 2014
  12. 화두는 빅데이터 - 결정의 패러다임이 바뀐다, 장영재, 동아비즈니스 리뷰, No, 101, 2011
  13. Young Jae Jang (2012), Manufacturing Applications in Big Data, The Korean Institute of Communication and Information Science Magazine, Vol.19, No.11, pp 30-35, September, 201