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The Importance of Data Mapping in the World of Data Science | Infographic/data-science-insights/the-importance-of-data-mapping-in-the-world-of-data-science

The Importance of Data Mapping in the World of Data Science | Infographic

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The Importance of Data Mapping in the World of Data Science | Infographic

Data mapping is the process of collecting, storing, and using data across various systems within an organization. It carefully maps the source of data and translation in its format and structure at each point of its travel. It is like building a bridge between various systems that ensures smooth data flow. So, in today’s data-driven world, data mapping becomes essentially important. 

A recent 2023 report by Gartner mentioned around 80% of organizations struggle with data integration challenges. Thus, data mapping can help address challenges by allowing seamless data exchange and analysis. 

The process of data mapping involves identifying the corresponding field between two sets, defining their transformation rules, for example converting currencies, and finally ensuring the data quality is maintained during this transition. 

Organizations can enjoy several benefits by using data mapping processes such as: 

  • Improved data accuracy: Where they can find consistent data formats with minimum errors and inconsistencies 
  • Enhanced analytics: Helps with easy data integration that further helps with comprehensive analysis across various platforms 
  • Streamlined workflows: It also helps to save time and resources if data mapping is automated. 

As we enter the future, the data volume and variety will continue to grow, and in such cases, data mapping will become highly important for businesses of all sizes. In the following infographic, we talk briefly about various components of data mapping. Check out to enhance your knowledge about this essential part of data management

The Importance of Data Mapping in the World of Data Science | Infographic

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