Abstract
The phrase "big data" refers to the massive amounts of data that have been created as a direct result of the integration of information systems with the internet, cloud computing, mobile devices, and the Internet of Things (IoT). This has led to the production of "big data." As a consequence of this, there has been a growth in the production of what is known as "big data." A data warehouse, information, and online analytical processing (OLAP) are the three independent components that come together to form this real-time data repository. Together, these three elements constitute the repository as a whole. It is composed of real-time data that can be organised, semi-structured, or unstructured, and all three types are incorporated in its make-up. Both commercial companies and academic institutions have developed novel strategies that are their own in order to get value from massive volumes of data. When it comes to making decisions, leveraging huge datasets as an additional input gives a wide range of options to consider. This research will analyse the role that big data plays in the aforementioned fields in order to facilitate improved decision-making by providing more accurate information. In this piece, we will study how big data may be used to make educated decisions in real time, with the ultimate aim of improving business results as a result of these decisions. The study does a literature review and looks at secondary data in order to provide a conceptual overview of the potential opportunities that big data affords for use in decision making. These were accomplished by looking at secondary data. This article discusses a variety of subjects, including the concept of "big data," its role in the decision-making process, and the competitive advantage that big data offers to a variety of enterprises. In addition to that, the research investigates a technique for the management of data in relation to the process of decision making. It is essential to have a conversation about the issue in order to provide superior options for companies, which will lead to increased levels of competence.
Keywords
Data Science, Data Analytics, Decision-Making
Citations
IRE Journals:
Dr. Babasaheb Jadhav
"The Role of Data Science and Analytics in Predictive Modelling and Decision-Making" Iconic Research And Engineering Journals Volume 6 Issue 11 2023 Page 196-209
IEEE:
Dr. Babasaheb Jadhav
"The Role of Data Science and Analytics in Predictive Modelling and Decision-Making" Iconic Research And Engineering Journals, 6(11)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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