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Overview

Added a new user behavior model and dataset to track conversion events and rates, enabling detailed analysis of user conversion patterns. Improved the sales dataset with filtering logic to exclude categories without sales in the last 2 years, enhancing dashboard usability by focusing on relevant categories.

Changes

  • Added new query-based model chinh_23949 capturing user events and orders to represent conversion behavior
  • Created chinh_23949_dataset with conversion metrics including conversion_rate, nominator, and denominator to measure user conversion effectiveness
  • Updated ticket_23584 dataset:
    • Added dimension amount_per_product_ordered_within_2_years to calculate sales amount per category in last 2 years
    • Introduced active_category dimension to filter out categories with zero sales in last 2 years for cleaner category filtering on dashboards
  • Added reusable dashboard block chinh_test_table and updated chinh_sandbox dashboard to use tab layout for improved organization and include the new test table block
  • Created template dashboards chinh_template and derived_chinh_template for easy dashboard creation and extension

These changes improve analytical capabilities around user conversion and enhance user experience in sales dashboards by removing irrelevant categories.

Holistics

Review this PR in Holistics at: https://testing4.holistics.io/studio/projects/30434/explore?branch=chinh-dm-dev

Holistics will automatically deploy these changes when this PR is merged. For more information about the deployment process, see PR Deployment

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2 participants