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Data Science Case Study

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When conducting research, data is crucial because it offers a foundation on which many hypotheses can be supported depending on the information gathered. A significant amount of data may now be made available for use in the research process thanks to the development of big data. As a result, the digital economy has grown significantly, and the usage of the internet to enable data collection has increased (Das et al., 2018). Despite the fact that diverse business analytics and data science components have existed for a while, the advent of big data has opened up a number of prospects for the development of machine intelligence in data science.

In contrast to humans, using machines to make decisions has become increasingly common. This is because these machines offer a high degree of accuracy. Most machine analytics are successful because algorithms and computer systems are taught using large datasets, making them successful and precise decision-makers (Lytras et al., 2017). Due to the fact that big data analysis can yield a variety of insights that can effectively help information system research, big data must be used when an information system researcher is doing a study in this regard.

Big data gathered and used by information system researchers during the research process helps the conclusions since it makes available a variety of data elements that may be needed during the analysis process, broadening the scope of the study. As a result, the information researchers might draw a more accurate conclusion because there is enough evidence to support their decision-making (Lukic, 2019). The capture of raw data, which may be used in several experiments involving a vast number of data, has been fueled in recent decades by the internet. The researcher, however, comes to the conclusion that while using big data for information system study, there should be caution, according to the report. He still believes that using big data for research is a good idea because of its many cutting-edge advantages.

The research that has been presented encourages the researcher to use big data when carrying out various research tasks, which supports the hypothesis. By highlighting a variety of advantages connected with big data in the field of information system research, the research keeps up with the hypothesis. The improvements brought about by big data in machine learning are one of the advantages outlined by the research to back up the hypothesis. In light of the aforementioned points, information system researchers ought to support the use of big data throughout their research processes.

References

Das, S., Roy, S., & Sambasivan, R. (2018). Fast Gaussian Process Regression for Big Data. Big Data Research, 14, 12-26. https://doi.org/10.1016/j.bdr.2018.06.002

Lukic, J. (2019). The impact of information and communication technology on the decision making process in the big data era. Megatrend Revija, 11(2), 221-234. https://doi.org/10.5937/megrev1402221l

Lytras, M., Raghavan, V., & Damiani, E. (2017). Big Data and Data Analytics Research. International Journal on Semantic Web and Information Systems, 13(1), 1-10. https://doi.org/10.4018/ijswis.2017010101