What is Big Data criticized for?


Big Data has recently been considered as an essential technology component of the smart city as well as the 4.0 industrial revolution. Big Data applications are now everywhere in the latest virtualization technology trends. Currently, there are two main criticisms for Big Data; one is about how people use Big Data, and the other is related to the way that the world is getting information from Big Data. 


First of all, how is the first criticism for the way people use Big Data? According to Chris Anderson, an entrepreneur and writer, he thinks that using Big Data has to be contextualized in social, economic and political contexts. For instance, even when companies have invested billions of dollars in Big Data and got information about many things, only fewer than 40% of employees can truly understand and utilize this kind of information; and this reduces the efficiency of Big Data much more than at the beginning, leading to a waste of resources.

Moreover, there is criticism that Big Data can only describe the world in the past, because it is based on the data which was created before; and even it only describes the world in reality. Using Big Data to talk about the future requires combination between Big Data and the modeling, simulation or research methods about the movement of the world; and this will help people to make accurate predictions. Additionally, some people also worry about user’s privacy. Collecting Big Data may include information which is able to format users without their approvals, and this breaks the law in some countries. Many experts from various fields are now promoting the privacy protection when using Big Data.

Next, criticism about getting information from Big Data is an issue which should be concerned. Mr. Danah Boyd, a researcher, has raised his concern of the fact that using Big Data in choosing statistical patterns can cause subjectivity, and it can more or less affect the last result. Data mining from some sources which are not Big Data also poses challenges for people when analyzing data.

Furthermore, in the aspect of the future of Big Data, Erik Swan, co-founder and chief technology officer of Spunk, predicts that the biggest change in Big Data is everyone’s attitude towards it. The consumption of a large amount of data will gradually become more popular, from farmers to engineers. Actually, people will use data to analyze everything in the next 10 years. Technology, of course, also needs developing so that this can become a reality.

All in all, despite some criticisms, Big Data plays an important part in businesses, which helps to maintain competitiveness, profitability and preparation for the future. Especially, analyzing Big Data is one of the best ways for leaders to exploit new insights and ideas.