Title: DATA SCIENCE FOR THE NEXT MILLENNIUM: A UBIQUITOUS REVIEW
Authors:
Sabiha Jabeen Anwar, Hajira Banu, Ruhiya Sarwar Nazneen, Dr. Tariq Zubair and Dr. Mohammed Maqsood Ali
Abstract:
Simple algorithms and analytical tools are not capable of processing the complex data into meaning insights. Data science receives widespread attention in all the aspects of business operations and strategies and moves into the next millennium. Organizations use it to predict, classify, detect, communicate, and analyze complex data for business planning and decision makings. This paper provides a comprehensive review of data science, advanced tools, and its applications in the aspects of business sectors. Articles previously published for periods of 6 years (2018-2023) from various scientific databases (EBSCO, Web of Science, Scopus, Emerald, ProQuest, Wiley, Taylor and Francis) are selected for the study. Results of this review revealed that data science is the intersection of various fields such as computer sciences, business, operation research, engineering, machine learning and automation. The main purpose of data science is to solve problem (s) and develop insights from the extracted information and knowledge of data. Majority of research studies conducted in the context of education and healthcare across 20 countries. This review energizes to all types of business practitioners and academicians to advance data science for decision makings and future research directions.
Keywords: Data science, Machine Learning, Artificial Intelligence, Data Mining.
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