Data Analytics

Data analytics involves systematically analyzing raw data to uncover patterns, correlations, and trends. It employs techniques such as descriptive, diagnostic, predictive, and prescriptive analytics. Using statistical models, machine learning algorithms, and visualization tools, data analytics enables organizations to enhance decision-making, optimize performance, and forecast outcomes. It integrates ETL (Extract, Transform, Load) processes, database management, and cloud computing for efficient data handling. Industries leverage analytics for market research, risk assessment, and operational efficiency.

The process starts by determining questions or hypotheses which will lead to the creation of data requirements. The data will be analyzed, cleaned, and, when needed, additional data is collected. At this point, the data is mined and analyzed so that it can be modeled. Often the data is used to create visualizations to help with interpretation.