Big data can be extremely helpful when used correctly and to its full potential, however with the potential for so much good there is also a lot of potential for misuse. For example some credit card companies, based on where a person lives, will give that person a lower credit card rating. This is completely beyond the control of the person, they are living in an area where some people have a lower repayment history, as such they find that their own credit card rating will be lowered. This isn't a fair method as that person having their credit rating lowered may have an excellent repayment rate and is being adversely affected due to the inaccuracy of the data being collected.
Traditional data analysis is outdated for a few reasons, the number one reason is that it simply can not keep up with the massive amounts of data being generated in this day and age . The systems were not designed with such large quantities of data in mind. Second of all most of the data that is being generated is semi or unstructured data, meaning that the data is in a format that can't be read by the older traditional data analysis systems, such as email, video, audio and texts.
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