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Home / Glossary / Raw data

What is Raw data?

Raw data refers to unprocessed information collected from various sources, such as sensors, databases, or surveys. It lacks structure and requires cleaning, transformation, and analysis before being used in decision-making, machine learning, or statistical modeling.

Related Glossaries

  • Auto Augmentation Auto Augmentation refers to the automated creation of additional data examples or transformations to improve AI training or execution readiness. It expands coverage and helps models perform more robustly across varying conditions.
  • Source data Source data refers to the original, unaltered information collected from primary sources before any processing or analysis. It serves as the foundation for data-driven decision-making in research, AI training, and analytics.
  • Data verification Data verification is the process of ensuring data accuracy, completeness, and consistency. It involves validating data against predefined standards, cross-checking sources, and detecting anomalies to maintain high-quality and reliable datasets for analytics and decision-making.
  • Synthetic Data Governance Synthetic Data Governance refers to the policies and operational controls used to manage how synthetic data is generated, validated, versioned, distributed, and used. Its purpose is to maintain quality, traceability, and consistency in synthetic-first environments.
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