Data enrichment is the process of enhancing first-party data collected from internal sources by integrating it with additional data from other internal systems or third-party external sources. This process makes the data more insightful and valuable for organizations, helping them better understand their customers, gain deeper insights, and support informed decision-making.
Data enrichment and data cleansing are complementary processes that together improve the overall quality and utility of datasets. Data enrichment focuses on enhancing first-party data by incorporating additional relevant information from internal or external sources, while data cleansing involves correcting or removing inaccurate, incomplete, or irrelevant data from a dataset to ensure its quality before it can be enriched or analyzed.
To effectively incorporate data enrichment into your sales strategy, follow these steps:
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