Advancements and Ethical Challenges in Data Analytics : Transforming Research, Decision-Making, and Business Strategy

Authors

  • Dr. Dipikaben Umakant Thakar Assistant Professor, Department of Computer Science & Application, Shri C. J Patel College of Computer Studies ( BCA), Sankalchand Patel University, Visnagar, Gujarat, India Author
  • Dr. Bhawesh Kumawat Associate Professor, Department of Computer Science &Application; Engineering, Madhav University, Pindwara, Sirohi, Rajasthan, India Author
  • Dr. Darshanaben Dipakkumar Pandya Associate Professor, Department of Computer Science & Application, Shri C. J Patel College of Computer Studies ( BCA), Sankalchand Patel University, Visnagar, Gujarat, India Author

DOI:

https://doi.org/10.32628/CSEIT25112459

Keywords:

Data Analytics, Big Data, Data Engineering, Cloud Computing, Data Cleaning, Machine Learning

Abstract

Data analytics is now the central field of study in research, led by the explosive growth of data coming from many sources. This article investigates the background of data analytics from the challenge of handling large data and the significance of data engineering. We then consider basic processes such as data cleansing, transformation, and modeling. Various methods of analysis, including exploratory data analysis, predictive modeling, and machine learning, are explained. We also highlight the programming languages and software that are most commonly used in data analytics. The paper then goes on to explain recent advancements in the discipline, including big data, cloud computing, and data privacy. Lastly, this comprehensive review is meant to enable researchers to make use of data analytics to gain useful insights from their data.

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References

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Published

15-03-2025

Issue

Vol. 11 No. 2 (2025): March-April

Section

Research Articles

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