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Data Analytics

The process of studying data sets with the motive of drawing conclusions about the information that they contain, progressively more with the assistance of software and specialized systems, is called Data analytics. Commercial industries use data analytic technologies and methodologies to empower organizations to make business decisions that are more-informed. Data analytics is also used by scientists and researchers, who prove or invalidate scientific theories, models and hypotheses. Businesses can be greatly helped by data analytics, as revenues can be increased, operational efficiency can be improved and marketing campaigns can be optimized, ultimately helping in advancing the business performance.

Types of data analytics applications:


This type of data analytics illustrates the main element of the data that is analyzed. It helps to make comparisons between different entities analyzed.


The exploratory data analysis is usually used to find out unknown relationships between two or more involved entities. This type of analysis helps to find new links and also, to provide potential suggestion.   


This type of data analysis is used to bring out the details about a large population using a small portion or sample of the entire population.


Predictive analysis is useful to predict the possibilities of future happening base on historical data using data, statistical algorithms and methodologies of machine learning.  

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