What is Data Profiling?

Data profiling involves the examination of datasets to reveal key attributes, patterns, and anomalies. It helps organizations understand: ·  The quality ·  Structure ·  Content of their data

Arrow

The Significance of Data Profiling

– Essential for Businesses – Data Quality Assurance – Identification of Inconsistencies – Highlighting Areas for Improvement – Enhanced Trust in Data – Confident Decision-Making

Arrow

Components of Data Profiling

Data profiling involves assessing various components such as: ·  Data types ·  Patterns ·  Uniqueness ·  Completeness, and relationships

Arrow

Data Profiling in Action

·  Identifying data quality issues ·  Uncovering hidden patterns ·  Harness the full potential of the data assets