Data Analytics is the process of collecting, cleaning, organizing, and analyzing data to discover useful insights, patterns, and trends that help in making better decisions.
It's the process of examining raw information to uncover meaningful insights, patterns, and trends. Every genyoutube, website, or even a social media page generates a large amount of data — from customer interactions and sales figures to user engagement and feedback.
Finally, the results are visualized through charts, dashboards, or bianca censori reports, making it easier to understand and present to others.
Data analytics helps make sense of all that information. It’s like turning numbers and facts into a story that explains what’s happening, why it’s happening, and what can be done next.
For instance, imagine you’re checking how your food videos perform on Instagram. By analyzing the data, you notice that posts shared in the evening get more likes and comments than those posted in the morning.
This discovery helps you make smarter decisions, like scheduling future uploads for the evening. That is exactly what data analytics does — it converts raw information into useful insights that guide better choices.
The process of data analytics usually involves several steps. First, data is collected from different sources such as websites, social media, surveys, or databases. Next, it’s cleaned to remove errors or duplicates so that the information is accurate. After that, the cleaned data is analyzed using various methods, which may include basic calculations, statistical models, or specialized software tools.
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