Mapping is a crucial first step to uncover key insights in data analytics and business intelligence. Data mapping’s value in business intelligence Additionally, you’ll learn what’s needed for a data mapping template so you can start the process yourself and get faster answers from your data. In this guide, we’ll review how data mapping works and explain how it differs from other data projects. Of course, data mapping is more complicated than the story of Pete Smith. Data mapping also reduces redundancies and ensures a more accurate analysis so everyone feels confident in the results and insights that are generated. Analysts don’t want their software platforms to count the same customer twice so they create a map that connects Pete Smith in database 1 to Peter Smith in database 2 to avoid future duplication. To illustrate, imagine you have a customer's information living in two different databases. In practice, data professionals link attributes and values together between data sources. In its simplest form, data mapping helps a company’s databases talk to each other. Tableau Conference Toggle sub-navigation.Reference Materials Toggle sub-navigation.Teams and Organizations Toggle sub-navigation.
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