Data Analytics is the process of analysing raw data to discover patterns and trends to generate useful information.
Data analytics has become a prominent subject of study as our society has become more information-based. Nowadays, every discussion focuses around how much data is available on a specific topic.
Possessing analysed data and information in real-time is not only a necessity in our daily lives, but it also governs how society runs as a whole. Everything we see around us is based on data analytics.
A data analytic process is what causes you to stop at a red light and progress at a green light. A data analytic approach is used when reporting numbers on how many vaccinated persons died from Covid-19.
Any sentient lifeform that can evaluate raw data, discover patterns and trends, and use them to create usable information, draw conclusions, and make educated judgments is technically a data analyst.
Humans are data analyzers by nature. When a newborn first opens his or her eyes, the movement of the eyes is markedly different from that of adults. This is due to the fact that the infant is ingesting a large amount of raw input, reviewing it, detecting patterns, and then converting it into meaningful information and acting on it.
The more data the infant collects, the better it is able to recognise the mother by creating a pattern of how the source of food, protection, and comfort appears.
Data analytics is not as difficult as most people believe. It is a simple, everyday activity that we all engage in without even realizing it. The tools we choose to use reflect the complexities of data analytics. If you see dark clouds and predict a heavy storm, you are engaging in data analytics.
