The two articles and the James Toole talk do not give an exact definition of what is big data. However, all the sources have a similar explanation of what is big data? Gary and Davis explain that big data is everywhere; from their explanation big data can be defined as the computerized data obtained from the zillion of searches in Google, the phone records, airline statistics, and other kinds of data that is used to predict the future. Big data is used to predict the health of people, the buying behavior and other kinds of behavior that occur in our lives. Lohr explains that big data is the advanced technology that opens new approaches to understanding the world and decision making. Big data is the bulk of new and old information that grows every year by over 50 percent. Toole on the other hand explains that big data is the everyday activities that are done repeatedly, in this case it is done on a computer and is stored on the hard drive of a computer, he data is then sued in the future to make decisions and predict the future.
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The new thing about big data is how the information is used. As Lohr explains big data is evolving on a day to day basis, the existing information on the internet changes and new statistics of information is formed. Toole explanation is more similar; big data keeps on changing. When Twitter was innovated, it became a necessity for most social media users. Gary and Davis say that new data will not only be important to technological development. It is possible to use big data to predict the future accurately. Big data can be used to detect correlations, for instance, the murder rates in the United States compared to the market share or internet explorer. Between 2006 and 2011 big data was used to predict the relationship between autism and the sales of organic foods.
Big data creates employment opportunities, according to Lohr Mo Zhou, who is a fresh MBA graduate who works at I.B.M as a data consultant helps companies predict the future through the massive traffic data. In this way, the company can cut on costs, predict profits and losses. Justin Grimmer is also another beneficiary of big data opportunities, he analyzes blogs and congregational papers, creating an analysis of how political ideas spread.
Despite the many advantages and opportunities big data creates it comes with many problems. First is that the big data analysis does not tell us the meaningful data analyzed. It is upon the user to determine which more meaningful data are. Secondly, big data cannot be used to solve wholly scientific problems. Although the analysis obtained is important, scientific tests need a proper understanding of the original concepts. Thirdly is with regards to accuracy, big data analysis tools can easily be manipulated and not show the true meaning of data.
The main ethical issue about big data is that the analysis is influential to behavior. Through big data, organizations can make decisions that do not influence any aspect o the organization. Big data use is as predicted by Toole is likely to interfere with privacy. For instance cloud storage can easily be interfered with by third parties. It is for this reason that he warns us to be careful when using the internet. Big data relates to the topic data often results in statistics, which in return is used as evidence. It is important to understand big data and related problems so as to determine whether or not to rely on statistics as evidence.
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