What determines Big Data? According to Big data training institute in Bangalore, it refers to a volume of data that cannot be processed by methods of everyday use, as well as the variety and the speed at which they are generated. Starting from this last point, we are currently talking about what the most important quality or quantity of information is stored. So, to get the most out of it, you also have to take into account the truthfulness, variability and value of the data.
Surely by now you will be wondering, but how is this large amount of data analyzed? Next, we will discuss five data analysis techniques necessary used in Big data to develop new ideas and improve decision making.
DATA VISUALIZATION
It has become one of the most demanded methods due to its ease and speed when it comes to interpreting and detecting patterns in the data through infographics and / or graphics, which provide different software today.
SPLIT TESTING
Better known as A / B testing, it is a system widely used in digital marketing. It consists of comparing a series of actions and observing the reactions of users to a particular product or message. In this way, differences can be detected to determine what works best and achieve greater conversion.
TEMPORARY SERIES ANALYSIS
It consists of a set of statistical techniques that analyze sequences of data points to predict the probability of a result. Predictive analytics is set and learned from the past to project certain scenarios in the future such as, for example, the total sales of a company for the next year.
ANALYSIS OF FEELINGS AND TEXTS
We talk about analysis techniques that are based on aspects as subjective as our emotions, but that help to recognize the attitude of a person or group. Text mining does the same but with the semantics of large volumes of texts. Both methods are of great importance for companies, since they determine the reaction of the public to certain topics, products and / or services on digital platforms such as social networks or blogs.
LEARNING ASSOCIATION RULES
These are algorithms capable of detecting a relationship between different variables in a database. This practice helps to establish rules and / or patterns of customer behavior and to detect, for example, which products are bought more and less frequently. Essential information to plan and execute successful online advertising campaigns with the appropriate audience segment.
These are the five techniques of data analysis used in big data to manage the data base of every company by Data analysts. Learning Big Data in big data training in Bangalore gives you a additional skill to your profile as there is a huge demand in this digital era. Still if you have any queries, Contact us today!
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