Login / Register Submit Your Article
cover
Article Menu

Journal Browser
Vol. 6 (2024)
Vol. 5 (2023)
Vol. 4 (2022)
Vol. 3 (2021)
Vol. 2 (2020)
Vol. 1 (2019)
Open Access Journal Article

Data Analytics and Decision Sciences

by Daniel Jackson 1,*
1
Daniel Jackson
*
Author to whom correspondence should be addressed.
DSSC  2020 2(1):9; https://doi.org/10.69610/j.dssc.20200513
Received: 13 March 2020 / Accepted: 23 April 2020 / Published Online: 13 May 2020
View Full-Text
Download PDF

Abstract

This paper explores the intersecting fields of Data Analytics and Decision Sciences, examining how advancements in data processing and analytical techniques have transformed decision-making processes. With the proliferation of data in all sectors, the need for effective data analytics has become paramount. The abstract delves into the various methodologies employed in data analytics, including statistical analysis, machine learning, and predictive modeling, and how these tools can be leveraged to inform decisions at both strategic and operational levels. Furthermore, it discusses the challenges of data quality, interpretation, and ethical considerations that arise when utilizing data analytics in decision-making. The paper argues for a comprehensive approach that integrates both qualitative and quantitative methods to ensure robust and informed decision sciences.

Keywords: Data Analytics; Decision Sciences; Predictive Modeling; Statistical Analysis; Ethical Considerations.;
Copyright: © 2020 by Jackson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Cite This Paper
APA Style
Jackson, D. (2020). Data Analytics and Decision Sciences. Decision Sciences and Social Change, 2(1), 9. doi:10.69610/j.dssc.20200513
ACS Style
Jackson, D. Data Analytics and Decision Sciences. Decision Sciences and Social Change, 2020, 2, 9. doi:10.69610/j.dssc.20200513
AMA Style
Jackson D. Data Analytics and Decision Sciences. Decision Sciences and Social Change; 2020, 2(1):9. doi:10.69610/j.dssc.20200513
Chicago/Turabian Style
Jackson, Daniel 2020. "Data Analytics and Decision Sciences" Decision Sciences and Social Change 2, no.1:9. doi:10.69610/j.dssc.20200513

Share and Cite

ACS Style
Jackson, D. Data Analytics and Decision Sciences. Decision Sciences and Social Change, 2020, 2, 9. doi:10.69610/j.dssc.20200513
AMA Style
Jackson D. Data Analytics and Decision Sciences. Decision Sciences and Social Change; 2020, 2(1):9. doi:10.69610/j.dssc.20200513
Chicago/Turabian Style
Jackson, Daniel 2020. "Data Analytics and Decision Sciences" Decision Sciences and Social Change 2, no.1:9. doi:10.69610/j.dssc.20200513
APA style
Jackson, D. (2020). Data Analytics and Decision Sciences. Decision Sciences and Social Change, 2(1), 9. doi:10.69610/j.dssc.20200513

Article Metrics

Article Access Statistics

References

  1. Kuhn, H. F. (2000). The structure of scientific revolutions. University of Chicago Press.
  2. Smith, H. (2000). Exploratory data analysis. Addison-Wesley.
  3. Jones, R. H. (2002). Regression analysis: An introduction. John Wiley & Sons.
  4. Russell, S., & Norvig, P. (2003). Artificial Intelligence: A Modern Approach. Pearson Education.
  5. Hastie, T., Tibshirani, J., & Friedman, J. (2009). The Elements of Statistical Learning. Springer.
  6. Bellman, R. E. (1957). Dynamic Programming. Princeton University Press.
  7. Tukey, J. W. (1977). Exploratory data analysis. Addison-Wesley.
  8. Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science.
  9. Seigfried, M. (2005). Ethical issues in data analysis. Journal of Empirical Research on Human Research Ethics, 30(2), 3-4.
  10. Fader, S. S., Hardie, B. G., & Herr, F. D. (2009). Understanding the role of the customer in the customer lifecycle. Journal of Marketing Research, 46(3), 384-394.
  11. Simchi-Levi, D., Kaminsky, P., & Simchi-Levi, E. (2008). Designing and managing the supply chain: Concepts, strategies, and case studies. McGraw-Hill.