Data Enrichment
Data enrichment is a crucial feature for all types of software, as it allows users to get a comprehensive understanding of their data. Put simply, data enrichment is the process of enhancing or improving existing data by adding additional information to it. This additional information may include details such as demographics, geolocation, social media activity, and purchasing behavior. The main goal of data enrichment is to provide more context and depth to a dataset, making it more valuable and useful for analysis and decision-making. This is especially
This software is researched and edited by
Rajat Gupta is the founder of Spotsaas, where he reviews and compares software tools that help businesses work smarter. Over the past two years, he has analyzed thousands of products across CRM, HR, AI, and finance — combining real-world research with a strong foundation in commerce and the CFA program. He's especially curious about AI, automation, and the future of work tech. Outside of SpotSaaS, you'll find him on a badminton court or tracking the stock market.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].
