Overlay NLP Based Search over any data infrastructure



The Plumb5 Data Search allows users to simply search for answers and reports by simply integrating it into the existing data environment.

The integration can be done in 3 easy steps

  1. Data Tagging: If the data is lying in silos and not unified, then we plug all data sources to tag relevant data entities using the tag manager. If data is unified, we can jump to the next step.
  2. Based on the relationship, we generate a structure and map it with the NLP keyword list, created by the data prep team.
  3. Set permissions for users allowing them to get answers within the permissible limit

The business can now allow any user to ask and find answers or reports over the connected data. This saves the humungous amount of time required for techies and analysts to create custom reports over multiple silos.

As data grows, all we need to do is to add the new data entities to the relationship structure and update the keyword list.

The Plumb5 Data relationship model is scalable. Click here to read about the data model and how it helps in real-time data synthesis.



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