Article on Big data analysis
Big data is a valued insight that hugely enhances the decision-making process. Due to the significance of big data, it has attracted interest from both academicians and practitioners. There is the massive adoption of big data analytics in organizations and their purpose of valuable information from Big data analysis. According to the article, the process of big data analytics includes the use of big data tools since they are responsible for efficiency improvement .it creates new revenue streams and hence allowing an organization to attain a competitive advantage over the competitors. Experts advocate for a practical and deep understanding of the big data landscape with the need to achieve to make a profitable decision on investment. There are extensive use and adoption of big data, which touches on many levels ranging from business to public administration and also by a nonprofit organization. The article does explain that with the increased use of big data, it has led to an increase in the number of scientific research that allows the analysis of possible threats, strengths, and opportunities that can be identified.
The article also talks of the datafication.it says that it is a concept and improved technology that has improved the technologies and improvement for the future. Most of the data can be shared and be generated through the use of machines. Big data tools and machines can be used in data mining,data collection, and analysis. It is also good to understand that despite big data analysis being good in its role in information and technology, it also faces many challenges (“Critical analysis of big data challenges and analytical methods,” n.d). The challenges facing big data and big data analysis need to be addressed for the users and the company to fully realize the big data potentiality.it has been noticed that some challenges are a result of the functions of the features of the big data. Some challenges are as a result of the analytic methods used, the methods used in big data, especially in data mining and data analysis. And finally, the disadvantages associated with big data processing. With big data in place in organizations, there is a likelihood of an organization going against the principle that governs information. Information is always guided by the principles of confidentiality, integrity, and availability. With a compromise in the big data, information and service delivery can be made nit to adhere to the principles. It is easy to compromise the information privacy especially in big data
The article also talks about challenges that can be witnessed in the situation. There are challenges in what is to be shared and be generated. Another challenge experienced and explained by the article is ethical issues that are important in data mining. Some big data issues are ethically challenging and need to be handled with care because they can leak out. It will be unethical. Another challenge is the requirements of the human analysis (“Critical analysis of big data challenges and analytical methods,” n.d). Some time without the use of big data tools, it is easy to cause errors that can be caused by human analysis. An article the elements that touch on challenges that affect the big data are deeply discussed, and the article has categorized those big data challenges into three major categories. Those challenges are processing challenges, data challenges, and management challenges.
The article has successfully explained the big data analytics in many aspects. It has defined well and has touched on the importance it has too many organizations, non- profit organizations, and governments. Despite the efficiency of big data, big data also faces many challenges, which has been discussed as challenges associated with human ability, challenges associated with characteristics of big data, ethical issues, and information principles, especially the principle of confidentiality. The article id relevant and need to be recommended to learner learning Information technology as a course. It has been edited professionally, making it a recommendable article as a scholarly article. It has many authors, and elements of plagiarism are not visible.
References
Critical analysis of significant data challenges and analytical methods. (n.d.). Retrieved from https://www.sciencedirect.com/science/article/pii/S014829631630488X