Data preparation, often called data prep, is the process of transforming raw data into a format suitable for analysis, machine learning, or other data-driven applications. It involves cleaning, transforming, integrating, and structuring data to improve its quality and usability. Common use cases include creating datasets for machine learning models, generating reports, and enabling business intelligence dashboards.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
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