Data analytics is the practice of examining and analyzing data to understand patterns, trends, and insights that support better decision-making. In simple terms, it means using data to answer questions like what happened, why it happened, and what can be done next. Data analytics differs from data science in that data analytics focuses mainly on analyzing existing data and creating reports or dashboards, while data science includes advanced techniques such as machine learning, predictive modeling, and algorithm development. The main types of data analytics are descriptive analytics (what happened), diagnostic analytics (why it happened), predictive analytics (what is likely to happen), and prescriptive analytics (what actions should be taken). Data analytics helps organizations make better decisions by reducing guesswork, improving efficiency, identifying risks and opportunities, understanding customer behavior, and enabling data-driven strategies across industries.