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Query Service Data Distiller

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Has anyone used Data Distiller capabilities and built any use cases around it? I want to understand what the benefit of it is and how it can be used or implemented? any suggestions on certain use cases will be helpful

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@ribhubanerjee There are quite a few use cases,in short every time you need a way to manipulate, subset and in some cases fix data issues data distiller can come in handy.. some examples include 

 

  1. Custom calculated dimension/metrics: A eCom company would like to populate values for certain metrics into a field in schema ( or use it purely for reporting), and this needs to happen every night ( churn rate, birthday month etc..), one could use to do this within the platform and use the output for desired purpose 
  2. Data Subset: A insurance company has loyalty data for all brands flowing into a single dataset, the business wants to only enable certain fields to profile, a subset of data can be created using data distiller 
  3. Scheduled Query: Ability to schedule a query for time bound usecases
  4. Data Fixes: Ability to fix data issues, not really updating the dataset but use create a new dataset after all error are fixed. 

Hope that helps 

Anil

 

 

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Correct answer by
Community Advisor

@ribhubanerjee There are quite a few use cases,in short every time you need a way to manipulate, subset and in some cases fix data issues data distiller can come in handy.. some examples include 

 

  1. Custom calculated dimension/metrics: A eCom company would like to populate values for certain metrics into a field in schema ( or use it purely for reporting), and this needs to happen every night ( churn rate, birthday month etc..), one could use to do this within the platform and use the output for desired purpose 
  2. Data Subset: A insurance company has loyalty data for all brands flowing into a single dataset, the business wants to only enable certain fields to profile, a subset of data can be created using data distiller 
  3. Scheduled Query: Ability to schedule a query for time bound usecases
  4. Data Fixes: Ability to fix data issues, not really updating the dataset but use create a new dataset after all error are fixed. 

Hope that helps 

Anil