下午好:我正在努力确定销售产品百分比的最佳方式,占销售案例(和/或美元)的80%。据报道,去年的报道为20%。我今年也得到了同样的东西,但我很担心,这似乎是我需要的销售百分比与剩下的百分比之间的直接关联。例如,如果我想要90%的销售额,那么我会获得10%的产品。
虽然这些公式似乎在下面的查询中有效,但我想知道它是否因为销售案例中的重写值而出现偏差。如果我将80%的销售案例加起来,那么产品的数量要低得多。但我不知道查询是否因为那些欺骗而倾斜,并且它给了我80%的更高价值。我还看到有一个总百分比 - 我应该尝试那个吗?
这是一个查询示例,我正在尝试一些选项以获得更合理的值。提前谢谢!
SELECT
sales_cases,
total_sales_cases,
total_item_count ,
NVL(RowNbrCs,0) as RowNbrCs,
PERCENT_RANK() OVER(PARTITION BY company_id ORDER BY (sales_cases / total_sales_cases) ASC ) as Rank_by_Cases ,
PERCENT_RANK() OVER(PARTITION BY company_id ORDER BY (NVL(RowNbrCs,0) / sum(total_sales_cases)) ASC ) as Rank_by_Cases
FROM (
SELECT
company_id ,
prod_id ,
SUM( NVL(sales_cases,0)) ,0) as sales_cases,
SUM( NVL(net_sales,0)) ,0) as net_sales,
ROUND( SUM(( SUM( NVL(sales_cases,0)) )) OVER(PARTITION BY company_id ),0) as total_sales_cases,
ROUND( SUM(( SUM( NVL(net_sales,0)) )) OVER(PARTITION BY company_id ),0) as total_net_sales,
ROW_NUMBER() OVER(PARTITION BY company_id ORDER BY SUM( NVL(sales_cases,0)) ASC ) as RowNbrCs,
ROW_NUMBER() OVER(PARTITION BY case when company_id ORDER BY SUM( NVL(net_sales,0)) ASC ) as RowNbrSls,
SUM(( COUNT(distinct prod_id) )) OVER() as total_item_count
from sales, customer, product
where << conditions >>
group by
company_id , prod_id
)
group by
sales_cases ,
total_sales_cases ,
total_item_count ,
RowNbrCs ,
company_id
order by RowNbrCs desc