Big data analytics depends on five layers: ingestion pipelines capturing transactions and IoT signals, scalable storage via data lakes or warehouses, fast processing with Spark or Hadoop, machine learning models for deeper patterns, and visualization tools for clarity. Together they ensure accurate analysis of structured and unstructured data, supporting predictions and competitive insights.