The Journal of Bigdata (한국빅데이터학회지)

Korea Bigdata Society (한국빅데이터학회)
권호 표지

Business Innovation Through Spatial Data Analysis: A Multi-Case Analysis

공간 데이터 분석 기반의 비즈니스의 혁신: 해외 사례 분석을 중심으로

  • Received : 2019.08.01
  • Accepted : 2019.08.30
  • Published : 2019.08.30
Download PDF
⟨ Previous Next ⟩

Abstract

With sensor and communication technology development, spatial data related to business activities is exploding. Spatial data is now evolving into atypical data about space over three dimensions, away from two-dimensional geographic data. In addition to the Fourth Industrial Revolution, which connects the virtual space with the real space, there is a great opportunity for companies to utilize it. The analysis of recent overseas cases shows that it is possible to analyze customized services by understanding the situation of customers and objects located in the space, to manage risk, and furthermore to innovate business processes by analyzing spatial data. In the future, business innovation that combines spatial data from various sources and real-time analysis of relationships and situations between people and objects in space is expected to expand in all business fields.

서 및 통신 기술 발전으로 기업경영과 관련된 공간 데이터가 급증하고 있다. 공간 데이터는 이제 2차원적인 지리 데이터를 벗어나 3차원 이상의 공간에 관한 비정형 데이터로 진화하고 있다. 가상공간과 현실공간을 연결해야 하는 제4차산업혁명과 함께 기업들이 이를 활용할 기회도 크게 확대되고 있다. 최근의 해외 사례들의 분석 결과 특히 공간 속에 위치한 고객과 사물의 상황을 파악하여 맞춤화된 서비스를 제공하고, 위험관리를 하며, 더 나아가 업무 프로세스의 혁신도 공간 데이터 분석으로 가능해지고 있다. 향후 공간 속 사람과 사물 들 간의 관계 및 상황을 다양한 소스로부터의 공간 데이터를 결합하여 실시간으로 분석하는 비즈니스 혁신이 모든 분야에서 확대될 전망된다.

Keywords

References

  1. 오충원. "국토모니터링 시스템을 위한 시공간 GIS 연계 방안에 관한 연구". 국토지리학회지, Vol.43, No.2, pp.285-292, 2009.
  2. 정윤재, 최형욱, 박현철, "자료 기반 정밀 공간 정보매핑 시스템", 한국지리정보학회지, Vol.21, No.1, pp.1-11, 2018. https://doi.org/10.11108/KAGIS.2018.21.1.001
  3. 함유근, 이것이 빅데이터 기업이다, 삼성경제연구소, 2015.
  4. BIA/Kesley, Making Location Intelligence Actionable for Partners, Brands & Agencies, 2017.
  5. Bin Sulaiman, R., "Artificial Intelligence Based Autonomous Car," SSRN Electronic Journal, 2018.
  6. Chen, P. C., Dokic, T., Stokes, N., "Predicting Weather-associated Impacts in Outage Management Utilizing the GIS Framework," 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), pp.417-422, 2015.
  7. Charles, R., Dennery, P., Guttikonda, A., "Supply Chain Risk: A Utility Company Perspective," MIT Sloan, 2015.
  8. Deloitte. Geospatial Analytics: The three-minute guide, 2012.
  9. Duffy, James P., Laura Pratt, Karen Anderson, "Spatial Assessment of Intertidal Seagrass Meadows Using Optical Imaging Systems and a Lightweight Drone," Estuarine, Coastal and Shelf Science 200, pp.169-180, 2018. https://doi.org/10.1016/j.ecss.2017.11.001
  10. eMarketer, Location Intelligence Roundup, 2019.
  11. ESRI, Location Analytics for the Banking Sector Using ArcGIS Platform, 2018.
  12. Fernandes, G. B., Artes, R., "Spatial dependence in credit risk and its improvement in credit scoring," European Journal of Operational Research, Vol.249, No.2, pp.517-524, 2016. https://doi.org/10.1016/j.ejor.2015.07.013
  13. Folkers, A., Stenmanns, J., "Logistical resistance against operations of capital: Security and protest in supply chains and finance," Geoforum, 100, pp.199-208, 2019. https://doi.org/10.1016/j.geoforum.2019.01.011
  14. Furunes, T., Mkono, M., "Service-delivery success and failure under the sharing economy," International Journal of Contemporary Hospitality Management, 2019.
  15. Ghahramani, M., Zhou, M., & Hon, C. T., "Mobile phone data analysis: A spatial exploration toward hotspot detection," IEEE Transactions on Automation Science and Engineering, Vol.16, No,1, pp.351-362, 2018. https://doi.org/10.1109/tase.2018.2795241
  16. Hagedorn, S., Gootze, P., Sattler, K. U., "The STARK framework for spatio-temporal data analytics on spark," Datenbanksysteme fur Business, Technologie, 2017.
  17. Haining, R., "Spatial data analysis in the social and environmental sciences,"Cambridge University Press, 1993.
  18. Hamann, H. F., Big spatio-temporal data analytics, IBM T.J. Watson Research Center, 2017.
  19. IBM, Weather Means Business, IBM Analytics White Paper, 2015.
  20. Ivanov, D., Dolgui, A., Sokolov, B., "The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics," International Journal of Production Research, Vol.57, No.3, 829-846, 2019. https://doi.org/10.1080/00207543.2018.1488086
  21. Iqbal, R., Doctor, F., More, B., "Big data analytics: Computational intelligence techniques and application areas," Technological Forecasting and Social Change, 2018.
  22. Kezunovic, M., "Predictive Asset and Outage Management," Keynote, MEDPOWER conf. in Belgrade, Serbia, November, 2016.
  23. Klein, L.J., Marianno, F.J., Albrecht, C.M., Freitag, "PAIRS: A scalable geo-spatial data analytics platform. In Big Data (Big Data)," 2015 IEEE International Conference on pp. 1290-1298, 2015.
  24. Kumar, S. and Bansal, V. K., "Use of GIS in locating TFs safely on a construction site in hilly regions," International Journal of Construction Management, Vol.19, No.4, pp.341-353, 2019. https://doi.org/10.1080/15623599.2018.1435153
  25. Lee, J. G., & Kang, M., "Geospatial big data: challenges and opportunities," Big Data Research, Vol.2, No.2, pp.74-81, 2015. https://doi.org/10.1016/j.bdr.2015.01.003
  26. Manogaran, G., Varatharajan, R., Lopez, D., "A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system," Future Generation Computer Systems, 82, pp.375-387, 2018. https://doi.org/10.1016/j.future.2017.10.045
  27. Martinez-Aires, M. D., Lopez-Alonso, M., & Martinez-Rojas, M., "Building information modeling and safety management: A systematic review," Safety science, 101, pp.11-18, 2018. https://doi.org/10.1016/j.ssci.2017.08.015
  28. Morstatter, F., Gao, H., Liu, H, "Discovering Location Information in Social Media," IEEE Data Eng. Bull., Vol.38, No.2, pp.4-13, 2015.
  29. Ponjavic, M., & Karabegovic, A., "Location Intelligence Systems and Data Integration for Airport Capacities Planning," Computers, 8(1), pp.13, 2019. https://doi.org/10.3390/computers8010013
  30. Piwowar, J. M., LeDrew, E. F., & Dudycha, D. J., "Integration of spatial data in vector and raster formats in a geographic information system environment," International Journal of Geographical Information System, Vol4, No.4, pp.429-444, 1990. https://doi.org/10.1080/02693799008941557
  31. Rainey, J. W., "Space and place in business intelligence: A case study of Starbucks Coffee company in central Ohio" (Doctoral dissertation, The Ohio State University), 2012.
  32. Rosenbaum, M. S., Ramirez, G. C., Campbell, J., "The product is me: Hyper-personalized consumer goods as unconventional luxury," Journal of Business Research, 2019.
  33. Shekhar, S., "Spatial big data," In Proc. AAG-NIH Symp on Enabling a National Geospatial Cyberinfrastructure for Health Research, 2012.
  34. Shema, A.. "Effective credit scoring using limited mobile phone data," In Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, p.7, 2019.
  35. Usery, E. L., Varanka, D. E., Davis, L. R., "Topographic Mapping Evolution: From Field and Photographically Collected Data to GIS Production and Linked Open Data," The Cartographic Journal, Vol.55, No.4, pp.378-390, 2018. https://doi.org/10.1080/00087041.2018.1539555
  36. VoPham, T., Hart, J. E., Laden, F., "Emerging trends in geospatial artificial intelligence (geoAI): potential applications for environmental epidemiology," Environmental Health, Vol.17, No.1, pp.40, 2018. https://doi.org/10.1186/s12940-018-0386-x
  37. Zlatanova, S., Rahman, A., & Pilouk, M., "3D GIS: current status and perspectives," International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, Vol.34, No.4, pp.66-71, 2002.
  38. Atluri, G., Karpatne, A., Kumar, V., "Spatio-temporal data mining: A survey of problems and methods," ACM Computing Surveys (CSUR), Vol.51, No.4, pp.83, 2018.