Data analytics with SQL involves using structured query language (SQL) to interact with databases and extract valuable insights from large datasets. By writing SQL queries, analysts can filter, aggregate, and join data from different tables to uncover trends and patterns. SQL helps in tasks like data cleaning, transformation, and reporting, making it essential for analyzing business performance, customer behavior, and operational metrics. Effective database management, along with SQL’s capabilities for complex querying, ensures accuracy and efficiency in decision-making processes, enabling businesses to make data-driven decisions with confidence.