A Review On Data Science Approach Towards Decision-Making

Authors

  • Prashanth Paul  
  • Dr. R. J. Anandhi  

Keywords:

Analytics, Data Science, Data Scientist, Decision Support System, Rationality, DSS Design, Data Science Tools, Data Prediction

Abstract

Data Science is a modern intellectual trans-discipline that intensified over long duration of exploration about assisting managerial decisions in companies. It is an essential and notable hypothesis. It is a newly boosting track that integrates diverse workouts, for example data mining and information investigation, machine learning. It handles different techniques extending from programming, processing, information building, data transformation, and design recognition. Examining the demand for data scientist uplifts instructors and executives to investigate concerns of decision-makers reasoning needs of data analysis, analytical tools, skill requirements and educational development. This review examines data science and data experts who make use of latest information streams and analytics to assist decision-making. It also gives a well-defined approach pertaining to data science technologies, applications, and preparing data scientists to be better decision-makers.

References

Downloads

Published

2019-12-30

Issue

Section

Research Articles

How to Cite

[1]
Prashanth Paul, Dr. R. J. Anandhi, " A Review On Data Science Approach Towards Decision-Making " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 9, pp.692-697, November-December-2019.