Data profiling is the process of examining, analyzing, and summarizing data to understand its quality, structure, relationships, and patterns. It helps businesses ensure data accuracy, consistency and completeness before using it for decision-making.
Process: Data collection → Analysis → Statistical summaries → Metadata discovery. We use SQL queries for manual checks and BI tools for visual analysis.
Profiling Process Steps
- Data Collection — Gathering data from various sources.
- Data Analysis — Examining data values, formats, relationships, and patterns.
- Statistical Summaries — Generating statistics and informative summaries about the data.
- Metadata Discovery — Identifying and collecting metadata about the data.
Data enrichment is a process that enhances existing data by adding new, relevant information from internal or external sources, making it more accurate, complete, and actionable. The enriched data is a valuable asset for any organization since it improves data quality for analysis, decision-making, and business insights.
Enrichment Capabilities
Data Sources
Combining internal databases, third-party datasets, social media, and other public information.
Tools & Platforms
Using specialized software that streamlines the integration and enrichment of data from multiple sources.
Gap Filling
Filling in missing values and adding context to make data more complete and reliable.
Quality Improvement
Enhancing overall data quality so it becomes more valuable for analytics and business intelligence.