Data, Analytics, and Intelligence

Updata:01-01-1970

Source:
By:Author(s)

DOI: https://doi.org/10.30564/jcsr.v5i4.6072

Abstract:

We are living in an age of big data, analytics, and artificial intelligence (AI). After reviewing a dozen different books on big data, data analytics, data science, AI, and business intelligence (BI), there are the current questions: 1) What are the relationships between data, analytics, and intelligence? 2) What are the relationships between big data and big data analytics? 3) What is the relationship between BI and data analytics? This article first discusses the heuristics of the Greek philosopher Plato and French mathematician Descartes and how to reshape the world. Then it addresses the above questions based on a Boolean structure, which destructs big data, data analytics, data science, and AI into data, analytics, and intelligence as the Boolean atoms. Data, analytics, and intelligence are reorganized and reassembled, based on the Boolean structure, to data analytics, analytics intelligence, data intelligence, and data analytics intelligence. The research will analyse each of them after examining the system intelligence. The proposed approach in this research might facilitate the research and development of big data, data analytics, AI, and data science.

References:

[1] Chen, C.P., Zhang, C.Y., 2014. Data-intensive applications, challenges, techniques and technologies: A survey on big data. Information Sciences. 275, 314-347. DOI: https://doi.org/10.1016/j.ins.2014.01.015 [2] Laney, D., Jain, A., 2017. 100 Data and Analytics Predictions through 2021 [Internet] [cited 2018 Aug 4]. Available from: https://www.scribd.com/document/569847512/100-data-and-analytics-predictions-through-2021 [3] Howarth, J., 2023. 30+ Incredible Big Data Statistics (2023) [Internet] [cited 2023 May 3]. Available from: https://explodingtopics.com/blog/big-data-stats#top-big-data-stats [4] Kumar, B., 2015. An encyclopedic overview of 'big data' analytics. International Journal of Applied Engineering Research. 10(3), 5681-5705. [5] Products in Analytics and Business Intelligence Platforms Market [Internet]. Gartner [cited 2023 Jun 12]. Available from: https://www.gartner.com/reviews/market/analytics-business-intelligence-platforms [6] Sharda, R., Delen, D., Turban, E., 2018. Business intelligence and analytics: Systems for decision support (10th edition). Pearson: Boston, MA. [7] The Evolution of Big Data Analytics Market [Internet]. 3PILLARGLOBAL [cited 2021 Aug 29]. Available from: https://www.3pillarglobal.com/insights/the-evolution-of-big-data-analytics-market/ [8] Kronz, A., Schlegel, K., Sun, J., et al., 2022. Magic Quadrant for Analytics and Business Intelligence Platforms [Internet]. Gartner. Available from: https://www.gartner.com/en/documents/4012759 [9] Russell, S.J., Norvig, P., 2020. Artificial intelligence: A modern approach (4th edition). Prentice Hall: Upper Saddle River. [10] Laudon, K.C., Laudon, J.P., 2020. Management information systems: Managing the digital firm (16th edition). Pearson: Harlow, England. [11] Weber, H., 2020. Big data and artificial intelligence: Complete guide to data science, AI, big data, and machine learning. Independently Published. [12] Hurley, R., 2019. Data science: A comprehensive guide to data science, data analytics, data mining. Artificial intelligence, machine learning, and big data. Independently Published. [13] Brooks, S., 2022. Business intelligence and analytics: Concepts, techniques and applications. Murphy & Moore Publishing: New York, NY. [14] Sharda, R., Delen, D., Turban, E., et al., 2018. Business intelligence, analytics, and data science: A managerial perspective (4th edition). Pearson: London. [15] Thompson, J.K., Rogers, S.P., 2017. Analytics: How to win with intelligence. Technics Publications: Basking Ridge, NJ, USA. [16] Ghavami, P., 2020. Big data analytics methods: Analytics techniques in data mining, deep learning and natural language processing (2nd edition). de Gruyter: Boston/Berlin. [17] EMC Education Services, 2015. Data science and big data analytics: Discovering, analyzing, visualizing and presenting data. Wiley: Hoboken. [18] Aroraa, G., Lele, C., Jindal, M., 2022. Data analytics: Principles, tools and practices. BPB: New Dalhi, India. [19] Blatt, T.J., 2017. Analytics: Business intelligence, algorithms and statistical analysis (5th edition). Todd Blatt: Orlando, FL, USA. [20] Bostrom, N., 2014. Superintelligence: Paths, dangers, strategies. Oxford: London, UK. [21] Hawkins, J., 2021. A thousand brains: A new theory of intelligence. Basic Books: New York. [22] Wade, R., 2020. Advanded analytics in Power BI with R and Python. Apress: New York. [23] Pittman, C., 2022. Google Analytics and GA4: Improve your online sales by better understanding customer data and how customers interact with your website. SMP Publishing: Kingsport, Tennessee. [24] Hua, C.C., 2020. Artificial intelligence, analytics, and data science. Blue Kingfisher Ltd.: Hong Kong. [25] Kantardzic, M., 2011. Data mining: Concepts, models, methods, and algorithms. Wiley & IEEE Press: Hoboken, NJ. [26] Sun, Z., Stranieri, A., 2021. The nature of intelligent analytics. Intelligent analytics with advanced multi-industry applications. IGI-Global: Hershey. pp. 1-22. [27] Chaudhary, K., Alam, M., 2022. Big data analytics: Applications in business and marketing. Auerbach Publications: New York. [28] Plato, Jowett, B., (translator), 2022. The Republic. Independently published. [29] Descartes, R., 1637. Discourse on the methods. GlobalGrey: London. [30] Strang, K.D., Sun, Z., 2022. ERP Staff versus AI recruitment with employment real-time big data. Discover Artificial Intelligence. 2(1), 21. DOI: https://doi.org/10.1007/s44163-022-00037-1 [31] Sun, Z., Strang, K., Li, R. (editors), 2018. Big data with ten big characteristics. Proceedings of the 2nd International Conference on Big Data Research; 2018 Oct 27-29; Weihai, China. New York: Association for Computing Machinery. p. 56-61. DOI: https://doi.org/10.1145/3291801.3291822 [32] Sun, Z., Wang, P.P., 2021. The scientification of China. Cambridge Scholars Publishing: Cambridge. [33] Sun, Z., 2022. Problem-based computing and analytics. International Journal of Future Computer and Communication. 11(3), 52-60. [34] Sun, Z., 2019. Managerial perspectives on intelligent big data analytics. IGI Global: Hershey. [35] Sun, Z., Sun, L., Strang, K., 2018. Big data analytics services for enhancing business intelligence. Journal of Computer Information Systems. 58(2), 162-169. DOI: https://doi.org/10.1080/08874417.2016.1220239 [36] Sabherwal, R., Becerra-Fernandez, I., 2011. Business intelligence: Practices, technologies, and management. John Wiley & Sons, Inc.: Hoboken, NJ. [37] McAfee, A., Brynjolfsson, E., Davenport, T.H., et al., 2012. Big data: The management revolution. Harvard Business Review. 90(10), 60-68. [38] Azvine, B., Nauck, D., Ho, C., 2003. Intelligent business analytics—a tool to build decision-support systems for eBusinesses. BT Technology Journal. 21, 65-71. DOI: https://doi.org/10.1023/A:1027379403688 [39] Data Intelligence [Internet]. Techopedia [cited 2021 Oct 26]. Available from: https://www.techopedia.com/definition/28799/data-intelligence [40] Coronel, C., Morris, S., Rob, P., 2020. Database systems: Design, implementation, and management (14th edition). Course Technology, Cengage Learning: Boston.

Tags: