Analytics is the process of collecting, processing, and analyzing data to extract actionable insights that inform decisions; it spans descriptive dashboards, statistical analysis, predictive modeling, and prescriptive optimization.

Analytics is characterized by three key components:

• Data pipeline & storage: ingestion, ETL, and storage (data warehouses, lakes) to consolidate data for analysis.
• Models & algorithms: statistical methods, ML models, and visualization techniques to derive patterns and predictions.
• Operationalization & governance: deployment of models to production, monitoring, lineage, and compliance controls.

Analytics trasnforms raw data into strategic insights— enabling informed decision-making in operations, products and user experience. Choosing the right compute platform (including energy-efficient Arm-based servers like Ampere Altra) can reduce cost and latency for large-scale analytic workloads.

• Analytics & big-data use cases on Ampere Altra
• Google Cloud BigQuery overview
• Apache Spark: large-scale data processing
• DataOps & analytics best practices — Gartner/industry resources)