Data mapping is the process of connecting and tracing data fields from one source to another, allowing organizations to track changes in their data across systems. It helps to improve data quality and security, optimize complex data, and make data-driven decisions. The process involves identifying all data fields, mapping the data, and updating/maintaining the map. Organizations can use automated, semi-automated, or manual methods for data mapping. Using a tool is recommended to streamline the process and maintain the map.
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Your company’s ability to make decisions using its data is integral to its success. But do you have a clear understanding of what data your company has, where it comes from, and how it’s used? Data mapping is the first step for teams to take control of their data and preserve its quality as it moves across systems. The challenge is that data mapping can get technical and feel overwhelming for teams, which stops them from mapping their data—leading to significant data quality problems, poor business decision-making, and potential data security issues. To help you map your company data with …
Everything You Should Know About Data Mapping—The Complete Guide was originally published on Blog – Validity
