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An Expert’s Guide to Data Enrichment

Many organizations struggle with incomplete and inconsistent data. Learn how data enrichment can enhance your datasets and reveal valuable insights.

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Get more value from your data with data enrichment

  • Overcome challenges caused by  incomplete, inconsistent, and unclean data through effective data enrichment
  • Validate, standardize, and enrich datasets to fuel customer analytics, improve decision-making, and manage risks
  • Bridge knowledge gaps by evaluating available data and integrating external data into your operations
  • Drive value by determining the necessary data attributes, integrating internal and external data, and measuring success

Get more value from your data with data enrichment

  • Overcome challenges caused by  incomplete, inconsistent, and unclean data through effective data enrichment
  • Validate, standardize, and enrich datasets to fuel customer analytics, improve decision-making, and manage risks
  • Bridge knowledge gaps by evaluating available data and integrating external data into your operations
  • Drive value by determining the necessary data attributes, integrating internal and external data, and measuring success
 
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Getting started with data enrichment

To overcome challenges with unclean and incomplete data, organizations need to look beyond their own internal data sources. They need to link their valuable, internal data with external data provided by third parties, vendors, or public data sources through data enrichment so that they can provide decision makers with data that is cleaner, more accurate, and more complete. 

Data enrichment is the process of enhancing existing, internal datasets with information that is generated from additional data sources. These sources could include data about organizations, people, or parts or data that could be used for sales and marketing, product analytics, risk management, and more. Three different types of data enrichment exist: validate, standardize, and enrich. Each one builds on each other to unlock greater value from your organization’s internal dataset.

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