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Why is data mining important?
So why is data mining important? You’ve seen the staggering numbers – the volume of data produced is doubling every two years. Unstructured data alone makes up 90 percent of the digital universe. But more information does not necessarily mean more knowledge.

Data mining allows you to:

Sift through all the chaotic and repetitive noise in your data.
Understand what is relevant and then make good use of that information to assess likely outcomes.
Accelerate the pace of making informed decisions.
Learn more about data mining techniques in Data Mining From A to Z, a paper that shows how organizations can use predictive analytics and data mining to reveal new insights from data.

Big data encompasses advanced analytic technique that is used to diverse a very large size of data sets from terabytes to zettabytes. The data sets include structured, semi-structured and unstructured data. Big data sets the data whose sizes are beyond the relational databases for the purpose of capturing, managing and processing the data with a low latency rate. Big data has the following characteristics:

High Volume
High Velocity
High Variety
Big data is being used in Artificial intelligence (AI), social and Internet of Things (IoT) to drive data complexity through new sources of data. Big data can be extracted from sensors, social media, devices, networks, audios, videos, log files, and transactional applications. Big data is generated on a very large scale in real-time. Analysts and researchers use big data for decision making. Businesses are using the following advance analytics technique:

Text Analytics
Machine Learning
Predictive Analytics
Data Mining
Statistics and Natural Language Processing