First commit, 已上架的電子書
This commit is contained in:
DATAEXPRESS\4734
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/*
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根據 20241226-南港meeting
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BI 正航包 的資料結構
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《建立通用 DW 及 DashBoard》
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新建立下列 DW，這是通用的 DW，任何現有的 ERP 都可以透過 ETL 將資料寫入，然後就可以配合已經設計好的 DashBoard 顯示
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讓 BI 立刻無縫導入，提高客戶的使用意願
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???
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alter table dw_product_sales_statistics add esti_sales_amount decimal(18,2)
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alter table dw_product_sales_statistics add esti_sales_qty decimal(10,2)
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alter table dw_product_sales_statistics add esti_sales_profit decimal(18,2)
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Michael 20250530
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*/
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-- 全公司統計
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create table dw_company_statistics (
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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number_of_quot int, -- 報價單數
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number_of_order int, -- 訂單數
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number_of_sales int, -- 出貨單數
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number_of_return int, -- 退貨單數
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sales_amount decimal(18,2), -- 總銷售金額
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sales_qty decimal(10,2), -- 總銷售數量
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item_cost decimal(18,2), -- 總銷售成本
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sales_profit decimal(18,2) -- 總銷售毛利
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primary key (stats_yymm)
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)
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-- 產品銷售統計
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create table dw_product_sales_statistics (
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productid varchar(50) not null,
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productname nvarchar(100),
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productclassid varchar(10),
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productclassname nvarchar(100),
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-- new 新增品牌統計
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brand_id varchar(20),
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brand_name nvarchar(100),
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--
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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-- 新增預估欄位(Estimate) > 計算達成率
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-- esti_sales_amount decimal(18,2),
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-- esti_sales_qty decimal(10,2),
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-- esti_sales_profit decimal(18,2),
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primary key (productid,stats_yymm)
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)
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insert into dw_product_sales_statistics ()
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select * from dw_tmp_sales_data
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-- 產品類別銷售統計
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-- 基本上應該是由【產品銷售統計】再次計算得來
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create table dw_productclass_sales_statistics (
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productclassid varchar(10),
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productclassname nvarchar(100),
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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primary key (productclassid,stats_yymm)
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)
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-- 品牌銷售統計(New)
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-- 基本上應該是由【產品銷售統計】再次計算得來
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create table dw_brand_sales_statistics (
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brand_id varchar(20),
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brand_name nvarchar(100),
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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primary key (brand_id,stats_yymm)
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)
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-- 客戶銷售統計
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create table dw_customer_sales_statistics (
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custid varchar(50) not null,
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corpname nvarchar(100),
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custclassid varchar(10),
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custclassname nvarchar(100),
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/*
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areaid varchar(10),
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areaname nvarchar(100),
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channelid varchar(10),
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channelname nvarchar(100),
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*/
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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-- 應收帳款(每個月的一號計算前一個月的應收 TBD)
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ar decimal(18,2),
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primary key (custid,stats_yymm)
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)
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-- 客戶類別銷售統計
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-- 基本上應該是由【客戶銷售統計】再次計算得來
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create table dw_customerclass_sales_statistics (
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custclassid varchar(10),
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custclassname nvarchar(100),
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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-- 應收帳款(每個月的一號計算前一個月的應收 TBD)
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ar decimal(18,2),
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primary key (custclassid,stats_yymm)
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)
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-- 區域銷售統計
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-- 基本上應該是由【出貨單加總統計】計算得來
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create table dw_region_sales_statistics (
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regionid varchar(10),
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regionname nvarchar(100),
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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-- 應收帳款(每個月的一號計算前一個月的應收 TBD)
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ar decimal(18,2),
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primary key (regionid,stats_yymm)
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)
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-- 通路銷售統計
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-- 基本上應該是由【出貨單加總統計】計算得來
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create table dw_channel_sales_statistics (
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channelid varchar(10),
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channelname nvarchar(100),
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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-- 應收帳款(每個月的一號計算前一個月的應收 TBD)
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ar decimal(18,2),
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primary key (channelid,stats_yymm)
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)
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-- BU 銷售統計
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-- BU 企業內部的一個業務單位或分支，通常具有獨立的運營、產品線或市場責任
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create table dw_bu_sales_statistics (
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buid varchar(50) not null,
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buname nvarchar(100),
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stats_year varchar(4),
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stats_yymm varchar(6) not null,
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sales_amount decimal(18,2),
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sales_qty decimal(10,2),
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item_cost decimal(18,2),
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sales_profit decimal(18,2),
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primary key (buid,stats_yymm)
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)
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-- 一些基礎的暫存資料
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-- 加入品牌及分類(new) + hotel define(Jack) Id+Name
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create table dw_tmp_data (
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id_type varchar(10) not null,
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id_no varchar(50) not null,
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id_name nvarchar(100),
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id_desc nvarchar(100),
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sales_price decimal(18,2),
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sales_qty decimal(10,2)
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primary key (id_type,id_no)
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)
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-- 其他銷售統計
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-- 其他銷售統計
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-- DE-BI DJI 部分參考資料
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create table dw_tmp_sales_data (
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銷售日期 varchar(10),
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進銷碼 varchar(20),
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進銷碼名稱 nvarchar(100),
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銷售人員 varchar(50),
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數量 int,
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合計金額 int,
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未稅金額 int,
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後台成本 int,
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後台毛利 int,
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建議售價 int,
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分店簡稱 nvarchar(20),
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分店代碼 varchar(10),
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大分類 nvarchar(100),
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中分類 nvarchar(100),
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小分類 nvarchar(100),
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督導區域 nvarchar(100),
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週報 nvarchar(100),
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商品品牌 nvarchar(100)
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)
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-- 將資料寫入dw_product_sales_statistics (TBD)
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with d0 as
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(
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select
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進銷碼 productid,進銷碼名稱 productname,分店簡稱,週報,商品品牌 as brand,商品品牌,substring(銷售日期,1,4) sdate,substring(銷售日期,1,6) mdate,合計金額,數量,後台成本,後台毛利
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from dw_tmp_sales_data
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), d1 as
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(
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select productid,productname,分店簡稱,週報,brand,商品品牌,sdate,mdate,sum(合計金額) AMT1,sum(數量) AMT2,sum(後台成本) AMT3,sum(後台毛利) AMT4
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from d0
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group by productid,productname,分店簡稱,週報,brand,商品品牌,sdate,mdate
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)
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insert into dw_product_sales_statistics (productid,productname,productclassid,productclassname,brand_id,brand_name,stats_year,stats_yymm,sales_amount,sales_qty,item_cost,sales_profit)
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select * from d1
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/*
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1.先純手工編出 202301 的資料(盡量合理) >> 推算出 2023 及 2024 兩年的全部 24 個月的資料
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月營業額 10,000,000
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月銷量 1200
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成本 sales_amount * 65%
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2.合理的分配到 product 及 customer 上(類別透過計算)
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一樣都先設定 202301 為基準的參考月份
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202302 >>> * 1.55
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202303 >>> * 0.8
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202304 >>> * 0.7
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202305 >>> * 0.92
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202306 >>> * 1.15
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202307 >>> * 1.2
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202308 >>> * 1.38
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202309 >>> * 1.12
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202310 >>> * 0.92
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202311 >>> * 0.98
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202312 >>> * 1.05
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202401 >>> * 1.2
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202402 >>> * 1.62
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202403 >>> * 0.92
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202404 >>> * 0.88
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202405 >>> * 0.96
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202406 >>> * 1.09
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202407 >>> * 1.19
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202408 >>> * 1.33
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202409 >>> * 1.52
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202410 >>> * 0.88
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202411 >>> * 0.91
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202412 >>> * 1.2
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*/
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/*
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MI 小米
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RedMI 紅米
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select * from dw_product_sales_statistics where brand_id is null
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update dw_product_sales_statistics set brand_id = 'RedMI',brand_name='紅米'
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where productname like '%紅米%';
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update dw_product_sales_statistics set brand_id = 'MI',brand_name='小米'
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where productname like '%小米%' and brand_id is null
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*/
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/*
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以下是和 Hotel 有關的 Table
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*/
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-- 加入 Hotel 的 Demo 資料集
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-- 業績預估
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create table dw_hotel_esti_data (
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hotel_id varchar(10) not null, -- hotel id
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hotel_name nvarchar(100),
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stats_year varchar(4), -- 統計年
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stats_yymm varchar(6) not null, -- 統計年月
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esti_month_amount int, -- 月預估營業額
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primary key (hotel_id,stats_yymm)
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)
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-- 實際業績
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/*
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住房率 = (order_no / hotel_room_no) * 100
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平均房價 sum(sales_week_amount) / hotel_room_no
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達成率 = (sum(sales_week_amount) / esti_month_amount) * 100
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*/
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create table dw_hotel_data (
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hotel_id varchar(10) not null, -- hotel id
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hotel_name nvarchar(100),
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hotel_room_no int, -- 房間數
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stats_year varchar(4), -- 統計年
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stats_yymm varchar(6) not null, -- 統計年月
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week_number int, -- 年度週數
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WeekStart date,
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WeekEnd date,
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order_no int, -- 訂房數
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sales_week_amount int, -- 週營業額
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primary key (hotel_id,stats_yymm,week_number)
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)
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-- 實際業績的年月統計(sum from )
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-- 本 Table 可以用 View=v_dw_hotel_sum_data 完全代替 (除非資料會很大，否則不建議使用)
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/*
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delete from dw_hotel_sum_data where stats_year = '2025';
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insert into dw_hotel_sum_data (hotel_id,hotel_name,stats_year,stats_yymm,month_amount)
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select hotel_id,hotel_name,stats_year,stats_yymm,sum(sales_week_amount) from dw_hotel_data
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where stats_year = '2025'
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group by hotel_id,hotel_name,stats_year,stats_yymm;
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*/
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create table dw_hotel_sum_data (
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hotel_id varchar(10) not null, -- hotel id
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hotel_name nvarchar(100),
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stats_year varchar(4), -- 統計年
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stats_yymm varchar(6) not null, -- 統計年月
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month_amount int, -- 月預估營業額
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primary key (hotel_id,stats_yymm)
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)
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-- 產生 hotel 的基本資料, 部分欄位要候補
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with week_data as
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(
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select min(WeekNumber)-1 min_week,max(WeekNumber) max_week from Year_WeekData where MonthNumber = 5
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)
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-- insert into dw_hotel_data (hotel_id,hotel_name,hotel_room_no,stats_year,stats_yymm,week_number,WeekStart,WeekEnd,order_no,sales_week_amount)
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select
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T.id_no,T.id_name,0,'2025','202505',
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--WD.min_week,WD.max_week,
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YW.WeekNumber,YW.StartDate,YW.EndDate,0,0
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from dw_tmp_data T
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left join week_data WD on 1=1
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left join Year_WeekData YW on 1=1
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where T.id_type = 'hotel'
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and YW.WeekNumber >= WD.min_week and YW.WeekNumber <= WD.max_week
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order by 3,1
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-- 2025 1-6 月(Now Data)
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-- insert into dw_hotel_data (hotel_id,hotel_name,hotel_room_no,stats_year,stats_yymm,week_number,WeekStart,WeekEnd,order_no,sales_week_amount)
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select
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T.id_no,T.id_name,T.sales_qty,'2025',convert(varchar(4),YW.StartDate,112)+case when YW.MonthNumber < 10 then '0'+cast(YW.MonthNumber as varchar) else cast(YW.MonthNumber as varchar) end,
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YW.WeekNumber,YW.StartDate,YW.EndDate,
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--FLOOR(RAND(CHECKSUM(NEWID())) * (75 - 35 + 1)) + 35,
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round(T.sales_qty*7*((FLOOR(RAND(CHECKSUM(NEWID())) * (65 - 35 + 1)) + 25)/100),0),
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round(T.sales_qty*7*((FLOOR(RAND(CHECKSUM(NEWID())) * (65 - 35 + 1)) + 25)/100)*1800,0)
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from dw_tmp_data T
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-- left join week_data WD on 1=1
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left join Year_WeekData YW on 1=1
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where T.id_type = 'hotel'
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and YW.WeekNumber <=40
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order by 1,6;
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/*
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達成率
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配合 metabase 元件,只能有一個數字
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H01-H07 各飯店-當月達成率
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||||
*/
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select
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--H.hotel_id,H.hotel_name,H.stats_yymm,
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--(H.month_amount*1.0/E.esti_month_amount*1.0)*100,
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(H.month_amount*1.0 / (case when E.esti_month_amount = 0 then 1 else E.esti_month_amount end)) * 100 as pass_rate
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||||
from dw_hotel_sum_data H
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left join dw_hotel_esti_data E on H.hotel_id = E.hotel_id and H.stats_yymm = E.stats_yymm
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||||
where hotel_id = 'H01' and H.stats_yymm = convert(char(6), getdate(), 112)
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||||
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|
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select
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H.hotel_id,H.hotel_name,H.stats_yymm,H.month_amount,E.esti_month_amount,
|
||||
(H.month_amount*1.0 / (case when E.esti_month_amount = 0 then 1 else E.esti_month_amount end)) * 100 as pass_rate
|
||||
from dw_hotel_sum_data H
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left join dw_hotel_esti_data E on H.hotel_id = E.hotel_id and H.stats_yymm = E.stats_yymm
|
||||
where H.stats_year = convert(char(4), getdate(), 112)
|
||||
|
||||
|
||||
-- 可以用這個 View 代替實體的 Table=dw_hotel_sum_data
|
||||
CREATE VIEW v_dw_hotel_sum_data AS
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||||
SELECT
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||||
hotel_id,
|
||||
hotel_name,
|
||||
stats_year, -- 統計年
|
||||
stats_yymm, -- 統計年月
|
||||
sum(sales_week_amount) month_amount -- 月預估營業額
|
||||
FROM dw_hotel_data H
|
||||
group by hotel_id,hotel_name,stats_yymm
|
||||
|
||||
|
||||
-- 樞紐分析(配合 Metabase 使用)
|
||||
CREATE VIEW v_hotel_monthly_pass_rate AS
|
||||
with hotel_data as
|
||||
(
|
||||
SELECT
|
||||
hotel_id,
|
||||
hotel_name,
|
||||
stats_yymm,
|
||||
sum(sales_week_amount) month_amount
|
||||
FROM dw_hotel_data H
|
||||
group by hotel_id,hotel_name,stats_yymm
|
||||
)
|
||||
select
|
||||
H.hotel_id,
|
||||
H.hotel_name,
|
||||
H.stats_yymm,
|
||||
H.month_amount,
|
||||
E.esti_month_amount,
|
||||
(H.month_amount * 1.0 / NULLIF(E.esti_month_amount, 0)) * 100 AS pass_rate
|
||||
from hotel_data H
|
||||
LEFT JOIN dw_hotel_esti_data E
|
||||
ON H.hotel_id = E.hotel_id AND H.stats_yymm = E.stats_yymm;
|
||||
|
||||
|
||||
|
||||
|
||||
-- 樞紐分析(配合 Metabase 使用) > 舊版(已不使用)
|
||||
CREATE VIEW v_hotel_monthly_pass_rate AS
|
||||
SELECT
|
||||
H.hotel_id,
|
||||
H.hotel_name,
|
||||
H.stats_yymm,
|
||||
H.month_amount,
|
||||
E.esti_month_amount,
|
||||
(H.month_amount * 1.0 / NULLIF(E.esti_month_amount, 0)) * 100 AS pass_rate
|
||||
FROM dw_hotel_sum_data H
|
||||
LEFT JOIN dw_hotel_esti_data E
|
||||
ON H.hotel_id = E.hotel_id AND H.stats_yymm = E.stats_yymm
|
||||
Reference in New Issue
Block a user