Ülevaadata

Ülevaadata is a data-management concept referring to the process of producing an overview of data assets. It involves identifying relevant data sources, assessing data quality, and assembling data into a coherent, accessible view to support decision-making and governance.

The process typically includes data discovery, data integration and cleansing, metadata capture, and aggregation. Metadata describes source, lineage, timeliness, quality rules, and access controls. The result is a summarized dataset or dashboard that presents key metrics and trends.

Applications of ülevaadata include enterprise reporting, regulatory compliance, risk management, and operational monitoring. It supports data governance by documenting data sources and quality, and assists analysts by providing a reliable base for analysis.

Challenges in applying ülevaadata involve achieving data quality and consistency across sources, handling privacy and access restrictions, and maintaining performance at scale. The term is more commonly used in Estonian-speaking contexts, and its adoption varies by organization.

Ülevaadata relates to data governance, data cataloging, data lineage, and business intelligence practices, forming a bridge between raw data assets and actionable insights.