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MIS 2502 Extra Credit Assignment

MIS 2502 Extra Credit Assignment

Big Data: A Brief Overview

Big data is characterized in terms of volume, variety, and veracity. On average, we produce about 2.5 quintillion bytes of data each day and over the past two years, 90% of our data has been generated (Marr). Every time we click a link or share a post on social media, businesses are using this data to identify new opportunities and to make decisions about the future.  It is important that companies stay up to date with big data in order to keep up with competition and increased demand. With data being produced every second, it is easy for businesses to fall behind.

Relation to MIS 2502

Big data has been incorporated in most of the topics we have discussed in MIS2502. For example, when learning how to use MySQL, we discovered how to create, update, and delete tables from the database. By doing this, we were adjusting the data sets on a much simpler scale. Also, we learned about structured, semi-structured, and unstructured data. Big data is mostly comprised of unstructured data.  Lastly, clustering and association rule mining are effective techniques that we learned in class that are used when analyzing big data. These techniques allow us to interpret relationships within the data and to forecast future outcomes. Ultimately, this can help a company recognize where they perform effectively and vice versa to improve their overall performance in the business world.

Example of Big Data in Healthcare Today

Since I am interested in working in Healthcare IT, I decided to research examples of big data in the Healthcare industry. Big data is significant in the Healthcare industry because it has the potential to improve the lives of millions. One example I found interesting is that medical researchers can use large quantities of data on treatment plans and recovery rates of cancer patients in order to locate trends and treatments that have the best outcome of success for the patient (Lebied). Using big data in Healthcare has the opportunity to not only save lives, but to make the patient’s overall experience better. No one enjoys going to the hospital, however, big data has the power to lessen the anxieties associated with hospital visits and help improve people’s everyday lives. Although there are some complications associated with big data such as data breaching, the potential for good far outweighs the bad.

Works Cited

Lebied, Mona. “12 Examples of Big Data In Healthcare That Can Save People.” Datapine, 4 Jan.


Marr, Bernard. “How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read.”

Forbes, Forbes Magazine, 21 May 2018,

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