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The key purpose of data analytics is to ensure and enable business leaders to take decisions backed by data & information – and not simply basis gut feeling. This includes storage of transaction & business data into reliable data systems and referring those to take insightful decisions. This is a priority area for businesses now a days with business heavily investing in data & analytics. Therefore, virtually everything starting from the data collection, cleansing, manipulation, modelling & finally visualization comes under the radar of data analytics.
Data analytics is a broad term that encompasses many diverse types of data analysis.
In short, data analytics is the process of examining, analyzing and uncovering hidden data patterns from Big Data.
Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.