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Data standardization

Data standardization refers to the process of transforming data into a consistent, uniform format to improve the quality, accuracy, and ease of analysis. Thanks to it,  organizations can manage, store, and scrutinize available information more effectively and efficiently. 

What is data standardization?

As it’s been already mentioned, data standardization is the process of converting data into a common format such as a standard numerical or categorical value. This process helps to ensure that information is consistent and easier to compare or analyze. 

Data standardization is a vital part of the data pre-processing process, which helps organizations to obtain actionable insights. Thanks to it, everyone in the team is able to stay on the same page.

Why is data standardization important? 

There are several reasons why organizations should standardize their data. The most noteworthy benefits of data standardization include:

  • eliminating inaccuracies and inconsistencies in data, 
  • making information more accurate and reliable,
  • facilitating the exchange of information between different systems and organizations, 
  • improving data sharing and collaboration,
  • enabling organizations to store and analyze data more effectively, 
  • reducing the risk of data loss or corruption,
  • improving data security and making it easier to protect sensitive information.

Data standardization is a crucial aspect of data management and is closely related to both data orchestration and data governance. This process helps to ensure that data is consistent, uniform, and more manageable across the entire organization.

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