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Data Tagging

Data tagging is the process of converting raw data into a format that is easy to analyze and visualize

Data Tagging as a service

Need for an accurate Data Tagging

Data tagging is a big part of the data preparation especially for machine learning applications. Data tagging is the process of converting raw data into a format that is easy to analyze and visualize. Data tagging is used to reduce the time needed for data analysis by reducing unneeded fields from data sets and by making the analysis more robust. Data tagging can also greatly speed up data preparation and manipulation which again are useful to improve machine learning performance.  

Foiwe ensures proper and smooth completion and distribution of data sets. We also provide quality assurance for data analysis. Our tagging process ensures that the quality parameters have been met and that the output is reliable. 

Applications and Capabilities

Data Tagging also helps in machine learning and in particular it is useful for large machine learning tasks which in turn helps in providing better quality solutions to problems faced by users. 

Applications

  • Training AI
  • Social Platforms
  • Audio and Video Applications
  • Ecommerce platforms

Capabilities

  • Capable to handle large data volumes
  • Multilingual team
  • Experienced Staffs for greater output
  • Data Tagging functions as a clear indexing solution in machine learning.

Benefits of Data Tagging

Data tagging reduces the time and money spent on secondary data analysis that helps in decision-making in organizations

Precision Data Tracking
All tags are applied manually and are recorded in the system to enable easier data cleaning.
Intuitive Tagging
The nature of the data and its purpose are identified before careful application of tags.
Reliable Processing Methods
Error-free and robust solutions are used in every step to ensure accuracy.

Related Services

Service Offerings Related to Data Tagging and Catalogue Management

Case Studies and Reports

Blog Articles

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