Merged PR 4502: Revert "Adds Onboarding MRR"
# Description
_Describe your motivation and changes here._
# Checklist
- [ ] The edited models and dependants run properly with production data.
- [ ] The edited models are sufficiently documented.
- [ ] The edited models contain PK tests, and I've ran and passed them.
- [ ] I have checked for DRY opportunities with other models and docs.
- [ ] I've picked the right materialization for the affected models.
# Other
- [ ] Check if a full-refresh is required after this PR is merged.
Revert "Adds Onboarding MRR"
Reverted commit `dab210c6`.
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7c4b0e752b
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3 changed files with 2 additions and 55 deletions
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@ -1989,11 +1989,6 @@ models:
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description: |
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Total revenue churn rate for the current month MTD.
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- name: current_month_mtd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the current month MTD.
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- name: previous_year_mtd_billable_bookings
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data_type: integer
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description: |
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@ -2104,12 +2099,6 @@ models:
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Total revenue churn rate for the previous year
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(12 months ago) MTD.
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- name: previous_year_mtd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the previous year
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(12 months ago) MTD.
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- name: current_ytd_billable_bookings
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data_type: integer
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description: |
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@ -2218,11 +2207,6 @@ models:
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description: |
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Total revenue churn rate for the current financial year YTD.
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- name: current_ytd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the current financial year YTD.
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- name: previous_ytd_billable_bookings
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data_type: integer
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description: |
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@ -2332,12 +2316,6 @@ models:
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Total revenue churn rate for the previous
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financial year YTD.
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- name: previous_ytd_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the previous
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financial year YTD.
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- name: previous_month_eom_billable_bookings
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data_type: integer
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description: |
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@ -2443,7 +2421,7 @@ models:
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- name: previous_month_eom_total_revenue_global_12m
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data_type: numeric
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description: |
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description: |
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Total revenue generated globally in the last 12 months
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for the previous month, at the end of the month.
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This is only used to compute the churn rate.
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@ -2454,12 +2432,6 @@ models:
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Total revenue churn rate for the previous month,
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at the end of the month.
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- name: previous_month_eom_onboarding_mrr
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data_type: numeric
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description: |
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Total expected Onboarding MRR for the previous month,
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at the end of the month.
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- name: int_ytd_mtd_aggregated_main_metrics_overview
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description: |
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This model provides a high-level overview of the main metrics for the month-to-date
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