{# Total Spend — info icon removed; the label is self-evident. #}

Total Spend

across {{ "{:,}".format(totals.total_jobs) }} job{{ "s" if totals.total_jobs != 1 else "" }}

{# Build Spend — materialising jobs such as CTAS / MERGE / INSERT / UPDATE / DELETE #}

Build Spend

Spend on jobs classified as build — queries that materialise data (CTAS, MERGE, INSERT, UPDATE, DELETE). These are your warehouse build costs.

{% if totals.total_cost_usd and totals.build_spend %}

{{ "%.0f" | format(totals.build_spend / totals.total_cost_usd * 100) }}% of scanned spend

{% else %}

materialising writes

{% endif %}

{# Consumption Spend — read-only jobs such as SELECTs from BI tools or ad-hoc analysts #}

Consumption Spend

Spend on jobs classified as consumption — read-only queries from BI tools, ad-hoc analysts, reverse-ETL exports, and other consumers. These read your warehouse without writing to it.

{% if totals.total_cost_usd and totals.consumption_spend %}

{{ "%.0f" | format(totals.consumption_spend / totals.total_cost_usd * 100) }}% of scanned spend

{% else %}

read-only consumers

{% endif %}

{# Flagged jobs — count of cached jobs with ≥1 active opportunity. Replaces the previous "Flagged Spend" $-card because the hero card above already shows that dollar value as "Optimisable spend" — the count is the non-redundant signal that completes the picture ("$X across N jobs"). #}

Flagged Jobs

{{ "{:,}".format(pagination.total_items if pagination else 0) }}

{% if totals.total_jobs and pagination and pagination.total_items %}

{{ "%.0f" | format(pagination.total_items / totals.total_jobs * 100) }}% of scanned jobs

{% else %}

jobs with at least one finding

{% endif %}