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Using natural language with Insight Advisor

Insight Advisor supports natural language questions, such as Show me Product Inventory for Japan under 2500.

Natural language questions support three kinds of filters:

  • Time: A unit of time or date. For example, Show me 2019 Sales.
  • Category: A value from one of the dimensions. For example, Show me Sales by Product for Sweden.
  • Measure: A value or values from a measure. For example, Show me Sales for Sweden by Product under 1K.

You can search for facts, comparisons, and rankings. Facts are statements such as What are my sales, or Show expenses over time for 2019. You can ask for a comparison by adding vs or compare to your question. For example, Compare sales to expenses over time. You can ask for rankings by adding top to your question. For example, Show me top 10 product by sales for 2020.

Information note

Qlik Cloud supports several languages in Insight Advisor Search. For more information on supported languages in Insight Advisor Search, see Supported languages.

If your browser is not set to a supported language, English is used. You can change the language used by Insight Advisor by selecting a language from the Language button.

Natural language searches need to reference field names and values in your data model. Synonyms for fields and values can be added using business logic vocabulary. For more information, see Creating vocabularies for Insight Advisor. You can also tag master items with synonyms using tags on your master items. Use the format alt:<term> in synonym tags. If you wanted to use cities as a synonym, you would tag the master item alt:cities. For more information, see Tagging master items.

You can like a natural language question analysis by clicking Like. Liking helps improve Qlik Sense natural language responses over time.

Information noteWhen searching field values, natural language queries only search the first 100,000 values per field in the question.

For more information about natural language questions, see Qlik Sense Natural Language Query features.

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