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What is Data classification (business intelligence)?

Data classification (business intelligence) is the process of organizing business-related data based on sensitivity, value, and usage. It helps companies enhance reporting, optimize decision-making, and comply with data governance policies. Businesses use classification to structure data for predictive analytics, regulatory compliance, and performance optimization.

FAIR data
FAIR data is a set of principles ensuring that data is Findable, Accessible, Interoperable, and Reusable. These guidelines promote responsible data management in research, industry, and government, facilitating collaboration, transparency, and innovation in data-driven fields.
Fairness (machine learning)
Fairness in machine learning refers to the practice of designing AI models that make unbiased and equitable decisions across different demographic groups. It involves mitigating algorithmic bias, ensuring diverse training data, and implementing fairness-aware techniques to prevent discrimination in areas like hiring, lending, and healthcare.
Data engineering
Data engineering is the field that focuses on designing, building, and maintaining data infrastructures. It involves ETL pipelines, data storage solutions, and database optimization to support analytics and AI-driven workflows.

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