Ipiphany Help Centre

Figures & Functions

Figures and functions are the building blocks of your analysis in Ipiphany. They allow you to create custom metrics and calculations to gain deeper insights from your data.


  • Average Function

    Explanation of the 'Average' function in Ipiphany and how it is used to calculate the mean of numerical data.

  • Contribution Function

    Explanation of the Contribution function in Ipiphany and how it is used to compare groups with different sample sizes.

  • Detractor, Passive, Promoter Functions

    Explanation of the Detractor, Passive, and Promoter functions in Ipiphany and how they are used to calculate NPS type attributes.

  • Difference Function

    Explanation of the Difference function in Ipiphany and how it is used to calculate the difference between a specific pattern's metric and the overall value.

  • Frequency

    Explanation of the 'Frequency' function in Ipiphany and how it is used to analyze data patterns.

  • Impact Function

    Explanation of the Impact function in Ipiphany and how it is used to measure the contribution of patterns to overall data selection measures.

  • Lift Function

    Explanation of the Lift function in Ipiphany and how it is used to measure the over-indexing of patterns in your data.

  • Net Function

    Explanation of the 'Net' function in Ipiphany and how it is used to measure customer experience scores.

  • NPS Function

    Explanation of the 'NPS' function in Ipiphany and how it is used to measure customer loyalty.

  • Opinion Function

    Explanation of the Opinion function in Ipiphany and how it is used to measure positive and negative sentiment towards a target topic.

  • Relevance Function

    Explanation of the Relevance function in Ipiphany and how it is used to measure the relevance of sub-patterns in relation to patterns or overall data.

  • Subset% Function

    Explanation of the 'Subset%' function in Ipiphany and how it is used to calculate the percentage of selected attribute values within an attribute.

  • Sum and Sum % Functions

    Explanation of the Sum and Sum% functions in Ipiphany and how they are used to calculate the total value of an attribute across all records.