Data Enrichment is the process of enhancing existing datasets with additional, relevant information from internal or external sources. The goal is to make the data more valuable, accurate, and actionable. For example, a sales team’s contact list might be enriched with industry data, purchase history, or engagement metrics. In AI systems like Orion AI or Freddie AI, data enrichment might involve adding sentiment analysis, market trends, or behavioral scores to raw input data. Enriched data improves predictive accuracy, allows better customer segmentation, and enables personalized communication. Businesses use enrichment to support decision-making in marketing, recruitment, investment, and customer service. Automated enrichment ensures continuous data quality without manual effort, integrating directly with CRMs, financial platforms, and analytics tools.
