What is data mining?

Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Data mining tools allow enterprises to predict future trends.

The object of data mining is finding unknown data characteristics, relationships, and dependencies that were not know before-hand. Traditional data analysis tools were designed so that when an end user discovers a problem, they are responsible for action to be taken in solving the problem. If the end user decides not to take action or does not discover one, then no action is taken. Data mining does just the opposite of a traditional data analysis tool. Data mining is proactive in taking action in looking for any kind of issues such as, anomalies and possible relationships. This information helps a user to gain an advantage with this knowledge that is given to them

Examples of data mining use ?

Have you watched Netflix “Black Mirror : Bandersnatch ?” if you realize, they used data mining to see and watch the user’s reaction based on the choices that they gave you in this movie. Like the example, the beginning of film you can choose what the character might eat for his breakfast. If we choose cereal for example, they can see your habits that you loved to eat cereals for breakfast.

How can this be possible ?

Netflix got another interesting way to gather user data through this interactive show that invites you to make countless decisions and this could be added as another method to monitor us in an attempt to understand our view habits. I’m not surprised that Netflix is a True Big Data Company. Big Data Analytics is pure gold for recommendation engines, which are so popular for companies such as Amazon, Pinterest, and Best Buy.


Oleh: Erzyani Gadishia Mirdhal & Gunawan Wang