Data Profiling

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Data profiling is the process of examining, analyzing, and summarizing data to understand its quality, structure, relationships, and patterns. It helps business to ensure data accuracy, consistency and completeness before using it for decision-making.

Data profiling involves several steps, including:

• 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.

We can use SQL queries for manual checks, BI tools for visual analysis

Data enrichment solution is a process or technology that enhances existing data by adding new, relevant information from internal or external sources, making it more accurate, complete by filling in gaps, adding context, and making it more actionable. The enriched data is a valuable asset for any organization since it improves data quality, making it more valuable for analysis, decision-making, and business insights.

Data Sources: Data enrichment involves combining data from various sources, including internal databases, third-party datasets, and even social media or other public information. 

Tools and Platforms: Data enrichment solutions often come in the form of software or platforms that streamline the process of integrating and enriching data from multiple sources.