Data models are the foundation of a data warehouse -- providing structure around data and helping to manage your information assets. Organizations that use a consistent data model across systems can achieve compatibility that eases overall business management.

Still, diverse naming for the same terminology or concept can trigger misunderstanding, misinterpretations and confusions. That leads to number of challenges as companies seek to satisfy regulatory guidelines, navigate mergers and acquisitions and other changing business needs. To help solve this chaos of confusion and provide an enterprise-wide view of data, many businesses are pursuing integrated, cross-functional canonical models for data warehousing and more.

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