There are four different methods in data processing
Data mining splits vast reserves of raw data into tiny, accessible bits of material. They also recognize anomalies in data groups and determine the interrelationship dependencies between data groups. Data mining is used in many clinical trials to evaluate behavioral patterns of patient data in clinical trials.
Text analytics is used to build auto-correct for your mobile automatically and is reliable for typing emails. It involves the processing of algorithms through vast pieces of unstructured text. It involves linguistic analysis, textual data pattern recognition, and the filtering of valuable spam emails.
It requires the visualization of data in order to be properly analyzed. It helps to explain complicated details. The bars, histograms, tables, and pie charts are some of examples of data visualization.
It turns data into a company’s actionable insight. These findings are used to build organizational plans for product positioning and pricing. Visual methods like heat maps, pivot tables, and visualization techniques are used.