Add 15 metrics and reporting models

10 metric models (daily/weekly/monthly revenue, orders, customer acquisition/retention, product sales, store, promotion, inventory) and 5 report dashboard models (executive, sales, customer, product, store) for analytics layer.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

Author: danyelf

models/metrics/metric_customer_acquisition_monthly.sql

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+with cohorts as (
+    select * from {{ ref('customer_cohorts') }}
+),
+
+final as (
+    select
+        cohort_month,
+        cohort_size as new_customers,
+        avg_lifetime_orders,
+        avg_tenure_days,
+        sum(cohort_size) over (order by cohort_month) as cumulative_customers
+    from cohorts
+)
+
+select * from final

models/metrics/metric_customer_retention_monthly.sql

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+with retention as (
+    select * from {{ ref('customer_retention') }}
+),
+
+cohort_sizes as (
+    select
+        cohort_month,
+        customers as cohort_size
+    from retention
+    where months_since_first = 0
+),
+
+rates as (
+    select
+        r.cohort_month,
+        r.months_since_first,
+        r.customers as retained_customers,
+        cs.cohort_size,
+        round(cast(r.customers as decimal) / cs.cohort_size * 100, 1) as retention_rate
+    from retention r
+    inner join cohort_sizes cs on r.cohort_month = cs.cohort_month
+)
+
+select * from rates

models/metrics/metric_daily_orders.sql

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+with orders as (
+    select * from {{ ref('int_order_enriched') }}
+),
+
+daily as (
+    select
+        order_date,
+        count(*) as total_orders,
+        sum(case when status in ('completed', 'Scompleted') then 1 else 0 end) as completed_orders,
+        sum(case when status in ('returned', 'Sreturned', 'return_pending', 'Sreturn_pending') then 1 else 0 end) as returned_orders,
+        sum(case when status in ('shipped', 'Sshipped') then 1 else 0 end) as shipped_orders,
+        sum(case when status in ('placed', 'Splaced') then 1 else 0 end) as placed_orders,
+        sum(case when has_promotion then 1 else 0 end) as promoted_orders,
+        avg(item_count) as avg_items_per_order
+    from orders
+    group by order_date
+)
+
+select * from daily

models/metrics/metric_daily_revenue.sql

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+with daily as (
+    select * from {{ ref('int_daily_order_summary') }}
+),
+
+final as (
+    select
+        order_date,
+        order_count,
+        total_revenue,
+        total_cost,
+        total_margin,
+        total_discounts,
+        total_revenue - total_discounts as net_revenue,
+        avg_order_value,
+        unique_customers,
+        total_items_sold
+    from daily
+)
+
+select * from final

models/metrics/metric_inventory_daily.sql

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+with inventory as (
+    select * from {{ ref('product_inventory') }}
+),
+
+snapshot as (
+    select
+        current_date as snapshot_date,
+        count(distinct product_id) as total_products_tracked,
+        count(distinct store_id) as total_stores,
+        sum(current_stock) as total_stock_units,
+        sum(case when stock_status = 'out_of_stock' then 1 else 0 end) as out_of_stock_count,
+        sum(case when stock_status = 'low_stock' then 1 else 0 end) as low_stock_count,
+        sum(case when stock_status = 'adequate' then 1 else 0 end) as adequate_count,
+        sum(case when stock_status = 'well_stocked' then 1 else 0 end) as well_stocked_count,
+        round(avg(current_stock), 1) as avg_stock_per_product_store
+    from inventory
+)
+
+select * from snapshot

models/metrics/metric_monthly_sales.sql

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+with daily as (
+    select * from {{ ref('metric_daily_revenue') }}
+),
+
+monthly as (
+    select
+        date_trunc('month', order_date) as month_start,
+        sum(order_count) as total_orders,
+        sum(total_revenue) as total_revenue,
+        sum(net_revenue) as net_revenue,
+        sum(total_margin) as total_margin,
+        sum(total_discounts) as total_discounts,
+        avg(avg_order_value) as avg_daily_order_value,
+        sum(total_items_sold) as total_items_sold,
+        count(distinct order_date) as active_days
+    from daily
+    group by date_trunc('month', order_date)
+)
+
+select * from monthly

models/metrics/metric_product_sales_daily.sql

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+with items as (
+    select * from {{ ref('order_items') }}
+),
+
+orders as (
+    select order_id, order_date from {{ ref('int_order_enriched') }}
+),
+
+daily_product as (
+    select
+        o.order_date,
+        i.product_id,
+        i.product_name,
+        i.category_name,
+        sum(i.quantity) as units_sold,
+        sum(i.line_total) as revenue,
+        sum(i.line_margin) as margin,
+        count(distinct o.order_id) as order_count
+    from items i
+    inner join orders o on i.order_id = o.order_id
+    group by o.order_date, i.product_id, i.product_name, i.category_name
+)
+
+select * from daily_product

models/metrics/metric_promotion_daily.sql

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+with discounts as (
+    select * from {{ ref('order_discounts') }}
+),
+
+daily as (
+    select
+        order_date,
+        promotion_name,
+        discount_type,
+        count(*) as usage_count,
+        sum(discount_amount) as total_discount,
+        sum(subtotal) as total_order_value,
+        sum(net_revenue) as total_net_revenue,
+        avg(discount_pct_of_order) as avg_discount_pct
+    from discounts
+    group by order_date, promotion_name, discount_type
+)
+
+select * from daily

models/metrics/metric_store_daily.sql

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+with revenue as (
+    select * from {{ ref('revenue_summary') }}
+),
+
+stores as (
+    select * from {{ ref('stores') }}
+),
+
+daily as (
+    select
+        r.order_date,
+        r.store_id,
+        s.store_name,
+        s.city,
+        r.order_count,
+        r.revenue,
+        r.cost,
+        r.margin,
+        r.discounts,
+        r.net_revenue
+    from revenue r
+    left join stores s on r.store_id = s.store_id
+)
+
+select * from daily

models/metrics/metric_weekly_sales.sql

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+with daily as (
+    select * from {{ ref('metric_daily_revenue') }}
+),
+
+weekly as (
+    select
+        date_trunc('week', order_date) as week_start,
+        sum(order_count) as total_orders,
+        sum(total_revenue) as total_revenue,
+        sum(net_revenue) as net_revenue,
+        sum(total_margin) as total_margin,
+        sum(total_discounts) as total_discounts,
+        sum(unique_customers) as total_customer_visits,
+        avg(avg_order_value) as avg_daily_order_value,
+        sum(total_items_sold) as total_items_sold
+    from daily
+    group by date_trunc('week', order_date)
+)
+
+select * from weekly