Data analytics is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses.
Types of data analytics applications:
At a high level, data analytics methodologies include exploratory data analysis, which aims to find patterns and relationship data, and confirmatory data analysis, which applies statistical techniques determine whether hypothesis about a data set are true are false.EDA is often compared to detective work, while CDA is akin to the work of a judge or jury during a court trial.
Inside the data analytics process:
Data analytics applications involve more than just analysing data. Particularly on advanced analytics projects, much of the required work takes place up front, in collecting, integrating and preparing data and then developing, testing and revising analytical models to ensure that they produce accurate results.