Question

What is difference between data analytics and data mining?

Answer 1

Data mining is an approach to finding unknown relationships in data, i.e. not attempting to confirm a specific hypothesis but looking for “interesting” relationships. A classic example is an engineer looking at a data set from a convenience store chain noticed the high correlation of men buying beer and diapers on Friday afternoons. (Despite urban legend, the store did not change anything because of it).

Data analytics is the use of statistical techniques to test hypotheses in order to improve decisions in business. Its really just a new name for things advanced companies have been doing for years. Big data is just hype to push a non-relational agenda

Answer 2

Difference Between Data Mining and Data Analytics

Data mining is catering the data collection and deriving crude but essential insights. Data analytics then uses the data and crude hypothesis to build upon that and create a model based on the data. Data mining is a step in the process of data analytics.