New Articles

  1. Aggregate Filters

    When working with query filters, you can switch to finer-grained or coarser-grained representation of your data
  2. Filtered Aggregation Functions

    Filters are useful for queries where the results should reflect a new, filtered value.
  3. Keywords "of", "percentage of"

    To enable business users to answer questions related to mix, contribution, share of, percentage, and total ratios, we have added the keywords "of" and "percentage of".
  4. Grouping Functions

    Each of the grouping functions accepts a measure and one or more optional attributes:
  5. Flexible Aggregation Functions

    Alchemer Dashboard provides flexible aggregation with the group functions.
  6. Cumulative Functions

    Cumulative formulas allow you to calculate the average, max, min, or sum of your data over time.
  7. Moving Functions

    Moving formulas can be used to smooth out any irregularities in your data to easily recognize trends.
  8. Overview of Aggregate Formulas

    When working with formulas, it is useful to understand the difference between regular (or row-wise) formulas and aggregation formulas.
  9. Steps to Coach Spark

    The Coaching flow is a streamlined process designed to improve Spark's accuracy and consistency of results.
  10. Understanding Coaching Options for Spark

    Spark provides two different coaching options (in addition to the options already covered under data modeling): Reference questions and Business terms