analítics
Analytics is the systematic analysis of data to extract insights and inform decision making. It employs methods from statistics, data mining, machine learning, and data visualization to turn raw data into actionable information. The field has grown from traditional business intelligence toward broader applications in science, government, and everyday operations.
Analytic approaches are commonly described as descriptive, diagnostic, predictive, and prescriptive. Descriptive analytics summarizes past events,
Analytics relies on a data lifecycle that includes collection, cleaning, transformation, storage, analysis, and interpretation. Data
Practical applications span marketing optimization, financial risk assessment, manufacturing quality control, healthcare analysis, and sports analytics.
Common challenges include data quality and integration, data silos, scalability, and model interpretability. The field is