Introduction
With the advancement of technology, data mining has increased dramatically. Data mining refers to the process of analyzing data to identify unrecognized data patterns or trends to make decisions (Bourgeois et al., 2019). Both large and small companies use this technology to ensure that they gather and assess the information regarding their performance and customers’ satisfaction before they can make new investments.
Discussion
The shift in internet usage has led to Web 2.0, where websites and other applications have changed to user interactive. Various bloggers can now gather information from different websites or companies and post such information on social media. On the other hand, the readers can comment and give their views freely. Although Web 2.0 can be used in data mining, it has several disadvantages.
Too much information is posted daily; hence, there is data overload. With Web 2.0, people with different thoughts post a lot of content on the internet. This data can be confusing to the readers and may not be reliable. The freedom allowed by Web 2.0 to post a comment on the posted content allows rivals of the company to give negative feedback (Bourgeois et al., 2019). Therefore, the information gathered may not be reliable for making decisions. There could be an issue of forgery and hacking crimes (Gallaugher, 2015). This happens when an individual impersonates or tries to access data to use maliciously. Such crimes are possible with the use of Web 2.0 in data mining. For example, a person may create a Facebook account with company details and post irrelevant information. This is likely to attract negative comments and may ruin the reputability of the affected company.
Conclusion
In conclusion, although Web 2.0 can be a good way of obtaining data through user comments, its disadvantages are significant. For instance, information overload can be confusing and may lead to unreliability. The freedom to express views allows rivals to post negative comments that may perplex decision-making. Lastly, with the use of Web 2.0, forging and hacking crimes can be experienced, leading to privacy threats over confidential information.
References
Bourgeois, D, Smith, J. L., Wang, S, & Mortati, J. (2019). Information systems for business and beyond. Open Textbooks. Web.
Gallaugher, J. (2015). Information systems: A manager’s guide to harnessing technology. University of Minnesota Libraries Publishing. Web.