A data engine powers an organization's analytical capabilities, requiring multiple components working together.

Data Collection includes databases, APIs, sensors, and web harvesting tools.

Data Storage combines warehouses for structured queries with data lakes for flexible storage.

Data Processing transforms raw data through cleaning, validation, and enrichment via ETL pipelines.

Analytics Layer generates insights from descriptive to predictive to prescriptive analytics.