3b Post (Data vs Big Data)

There is a difference between data and ‘big data’. Traditional data is a set of qualitative and quantitative variables (Kaminskiy, 2017). Traditional tools can be used to read this type of data. ‘Big Data’ is described as data that has so much volume, velocity and variety that regular tools used to read traditional data cannot read this type of data. It is basically a larger set of data. Big data is used by companies because for many reasons such as improving operations, for better customer service, produce personalized marketing campaigns, and provide solutions that will increase profits (Boelho and Bigelo, 2022). For example a company can use big data to see how their customers change their wants and needs using both historical and real time data.  TechTarget discusses the many way different businesses use big data. Medical researchers use big data to look up symptoms of different diseases and their risk factors. Another example they provide is how government will use big data for emergency responses, crime prevention, and smart city initiatives (Boelho and Bigelo, 2022).

 

Botelho, B., & Bigelow, S. J. (2022, January 5). What is Big Data and why is it important? Data Management. Retrieved March 2, 2023, from https://www.techtarget.com/searchdatamanagement/definition/big-data#:~:text=Why%20is%20big%20data%20important,can%20increase%20revenue%20and%20profits.

Kaminskiy, D. (2017, December 4). What’s the difference between ‘big data’ and ‘data’? Digital Leaders. Retrieved March 2, 2023, from https://digileaders.com/whats-difference-big-data-data/