Data Augmentation

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What Does Data Augmentation Mean?

Data augmentation adds value to base data by adding information derived from internal and external sources within an enterprise. Data is one of the core assets for an enterprise, making data management essential. Data augmentation can be applied to any form of data, but may be especially useful for customer data, sales patterns, product sales, where additional information can help provide more in-depth insight.


Data augmentation can help reduce the manual interventation required to developed meaningful information and insight of business data, as well as significantly enhance data quality.

Techopedia Explains Data Augmentation

Data augmentation is of the last steps done in enterprise data management after monitoring, profiling and integration.

Some of the common techniques used in data augmentation include:

  • Extrapolation Technique: Based on heuristics. The relevant fields are updated or provided with values.
  • Tagging Technique: Common records are tagged to a group, making it easier to understand and differentiate for the group.
  • Aggregation Technique: Using mathematical values of averages and means, values are estimated for relevant fields if needed
  • Probability Technique: Based on heuristics and analytical statistics, values are populated based on the probability of events.


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Margaret Rouse
Technology Expert
Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.