Data analytics, in a nutshell, is the collection, transformation, and organisation of data in order to either arrive at a conclusion or make predictions based on data collected in the past. While the terms data analytics and data analysis are sort of manipulated interchangeably, this is wrong. Data analytics is a subcategory of data analysis; it is a multidisciplinary field that requires a lot of knowledge and practical skill in maths, statistics, computer science, etc., and as the modern era is replenished with data, it is not problematic to say that data is everywhere around us, therefore it is important in many businesses.
But why is it so significant?
Any business that has customers that require it to sell or give a service for money will have certain quirks that are not obvious or even sometimes hidden. With these quirks, a data analyst can comprehend where the issue is, what the majority of people like, and what can be enhanced or removed from the process of either manufacturing, selling, or just providing a service. For that matter, any business can have an enormous advantage with a data analytics specialist working in their company. Not only that, but they can also predict future trends, sort of allowing the business to either prepare for an upcoming market crash or bad weather. Even this of course relies on the person who has hired them because this data can really benefit businesses by either saving money or even making more financially stable choices through the prediction and the data collected.
Major areas of data analysis which will determine in decision making
Descriptive analytics is quite a huge part of the analysis, which gives us the whole idea about the happening of the entire operation.
Diagnostic analytics, this allows us to look at the picture to find out if something happened, the reason and explanation behind it.
Predictive analytics is quite commonly used to analyse the future of the corporation or anything in such a manner to predict the unforeseen circumstances.
Prescriptive analytics is one of the major aspects which will guide in decision making, prepare our path to success.
Why is data analytics so important for modern computers?
Computer science is a quite popular domain of major as development and growth nowadays relies on computers and technology. Computer Science mainly focuses on computers and computational systems. People in the field of computer science mostly work with software and their systems from design to development.
Data analysis is a subcategory of modern computer science, and as the market and society are improving, the computer science also needs to adapt to it. A person who learns data analysis is sure to uncover tremendous success, and moving ahead, it might also become a pillar stone for computer science.
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