I have a report which totals sales by customer. Then table footer has a grand total of all customer sales. I would like to get a percent of each customer's sales against the total sales. How do I get the sum from the table footer to use in an individual customer row?
I am creating a sales report that needs to display Sales statistics for a selected month grouped by Material. Also, it needs to display the same stats for the selected month of the previous year. Finally, it needs to display Year To Date Statistics for the current year and previous year up to and including the selected month.
Currently, I am using 3 queries to do this. The first one gets the statistics the current month grouped by material. The others sprocs get their corresponding information by me passing in the material number and the month and doing the appropriate sum. So, essentially, for a single line of the report, 3 queries are being done. The problem arises in that sometimes there may be as many as 300 materils displayed in a given month, which amounts to alot of db activity and a long delay loading the report.
Is there anyway to get this information in one swoop using some fancy aggregation?
I have the following script that calculates Sales by month and current year.
We run a Fiscal year from April 1st thru March 31st.
So April 2012 sales are considered Fiscal Year 2013.
Is there a way I can alter this script to get Fiscal Year Totals?
select ClassificationId, YEAR(inv_dt) as Year, cus_no, isnull(sum(case when month(inv_dt) = 4 then salesamt end),0) as 'Apr', isnull(sum(case when month(inv_dt) = 5 then salesamt end),0) as 'May', isnull(sum(case when month(inv_dt) = 6 then salesamt end),0) as 'Jun', isnull(sum(case when month(inv_dt) = 7 then salesamt end),0) as 'Jul',
[Code] ....
Data returned looks like the following.
ClassificationID Year Cus_no Apr May June .... 100 2012 100 $23 $30 $400 100 2013 100 $40 $45 $600
What I would need is anything greater than or equal to April to show in the next years row.
i am trying to find a way to link an 'initial' Sale ID of a product to 'future' Sale IDs of products that will trace back to the original Sale ID.For example, if I call the original sale , 'Sale ID #123', how can i link future Sale ID's (child[ren]) and all future sales to the original Sale ID #123? Can I use a Surrogate Key or similar function?
Parent:Sale ID #123 Children: Sale ID # 456, Sale ID #789, Sale ID #.....
how I can link the original Sales ID (Parent) to Sale ID's (child[ren]) of future purchases currently existing and in the future going forward?
I have an invoice table with customer, date, sales location, and invoice total. I want to total the invoices by location by customer and see what location sells the most to each customer. My table looks like this.
We have a sales fact table that has sales by customers, products, date etc. and dimension tables such as customers, products etc.
We built a multi-dimensional cube on top of these tables. how do we support queries like "show me top 10 products by sales amount and then show customers that didn't buy these products"?
I have a sales order table that has customer, sales, product and sales date. I am looking to return the first sales date by customer for a specific product.
SalesTable:
Customer Product Sales Date Sales First Bike Date
Jon Bike 12/4/2011 $10.00
[Code] ....
I would like to return the date of the first bike purchase date by each customer and repeat that date for each row and customer. Can I use function to complete? I have a datedim table as well related to the sales date.
I'm trying to develop a query that provides sales data by Customer.GroupCode in monthly columns as depicted below:
GrpCd JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC TOT Film 5,000 15,000 20,000 Aero Elct 3,000 950 3,950 Desg Edu 150 150
Heres a simplified version of the DDL: CREATE TABLE invchead ( invoicenum int NULL , invoicedate datetime NULL , invoiceamt decimal(16, 2) NULL , custnum int NULL )
The query below gets me close but it gives me gives me one row for each customer. So if I have 5 customers with the same group code, I get 5 rows for that group code. I need to modify it or come up with a different approach that gives me only one row for each GroupCode.
SELECT distinct c.Name, c.GroupCode, (SELECT SUM(InvoiceAmt) FROM InvcHead WHERE InvcHead.custnum=i.custnum AND DATEPART(year, InvcHead.invoicedate)= DATEPART(year, i.invoicedate) AND DATEPART(month, InvcHead.invoicedate)=1) JAN, (SELECT SUM(InvoiceAmt) FROM InvcHead WHERE InvcHead.custnum=i.custnum AND DATEPART(year, InvcHead.invoicedate)= DATEPART(year, i.invoicedate) AND DATEPART(month, InvcHead.invoicedate)=2) FEB, ...... (SELECT SUM(InvoiceAmt) FROM InvcHead WHERE InvcHead.custnum=i.custnum AND DATEPART(year, InvcHead.invoicedate)= DATEPART(year, i.invoicedate)) TOT
FROM InvcHead i INNER JOIN Customer c ON (i.custnum=c.custnum) WHERE i.invoicedate>='1-1-2007' AND i.invoicedate<'1-1-2008'
Grateful for any advice that will get me closer to accomplishing this.
My requirements are to return the sales for each customer for each store, for the past 6 weeks.
The catch is that I only want those customers which have had sales over 10,000 within the last week.
This is my query:
WITH SET [CustomerList] AS FILTER( ([Store].[Store Name].[Store Name], [Customer].[Customer Name].[Customer Name]), [Measures].[Sales] >= 10000 AND [Date].[Fiscal Week Name].&[2015-01-26 to 2015-02-01]
Let say I have this table in MS SQL server table transaction(date,sales)
how to query to get result like this (date,sales,sum(sales last 7 day)) I'm thinking about using self join, but it means I must have to self join 7 times to get the total sales for the last 7 day. Is there any better way to do this? or maybe special function within MS SQL server.
note: i'm not looking for total sales per week group by each week, but total last 7 day sales for each day
If I stay at the Year level (say 2004), I get the Year To Date Sales for the selected Product(s)... However when I "zoom into" the Time dimension and select, say, Quarter 2, I get the Sales only for Quarter 2 of the selected Product(s). This is fine but at the same time I also want to see the Year To Date Sales of the selected Products. I hope my post is clear? Let me add a little example to clarify this further and will really appreciate your help:
Suppose I have selected ALL products and have selected Quarter 2 of 2004. I want the following results (Note it's really the YTD column that I am after):
Total Sales YTD Sales ----------- ---------- $ 50,000 $ 125,000
Again, I'll appreciate your help in writing the MDX for this.
table A-NewParts PartNumber Description LaunchDate a123 product a 4/1/2009
[code].....
I want to get end result as sales for each new product for a rolling period from Launch date as year1 sales,year2 sales...and so on which I got through case statements.I am stuck on how to get the total Sales for all products (including new products) in the same rolling period based on the different launch dates for each new product.
PartNumber Description LaunchDate Yr1 Sales Total Yr1 Sales Yr2 Sales Total Yr2 Sales a123
I'm developing a 2 year comparison rolling 12 month Sales report but am having problems with the query I'm using. Because I need to include every month (whether no sales or not) I have a calendar table named metaDates and each table gets outer joined as a result. (Forgive the long query) Please see below.
SELECT Customer.country, Order_Line_Invoice.prodcatid, MetaDates.[Month], MetaDates.[Year], isNull(SUM(Order_Line_Invoice.Sales),0) AS Sales , SUM(Order_Line_Invoice.Cost) AS Cost, ( isNull(SUM(Order_Line_Invoice.Sales),0) - isNull(SUM(Order_Line_Invoice.Cost),0) )AS GM, 'Current 12 Months' AS yearNum FROM MetaDates LEFT OUTER JOIN Order_Line_Invoice ON (MetaDates.Date = Order_Line_Invoice.InvoiceDate AND (Order_Line_Invoice.prodcatid IN (@GroupByFieldFilter)) ) LEFT OUTER JOIN Customer ON (Order_Line_Invoice.CustId = Customer.CustId and Customer.country IN (@country) ) LEFT OUTER JOIN Product ON (Order_Line_Invoice.ProdId = Product.ProdId) WHERE (MetaDates.Date BETWEEN dateadd(m, datediff(m, 0, DATEADD(month,-11,@EndDate) ), 0) AND @EndDate)
GROUP BY MetaDates.[Year], MetaDates.[Month], Customer.country, Order_Line_Invoice.prodcatid
UNION SELECT Customer.country, Order_Line_Invoice.prodcatid, MetaDates.[Month], MetaDates.[Year], isNull(SUM(Order_Line_Invoice.Sales),0) AS Sales , SUM(Order_Line_Invoice.Cost) AS Cost, ( isNull(SUM(Order_Line_Invoice.Sales),0) - isNull(SUM(Order_Line_Invoice.Cost),0) ) AS GM, 'Previous 12 Months' AS yearNum FROM MetaDates LEFT OUTER JOIN Order_Line_Invoice ON (MetaDates.Date = Order_Line_Invoice.InvoiceDate AND (Order_Line_Invoice.prodcatid IN (@GroupByFieldFilter)) ) LEFT OUTER JOIN Customer ON (Order_Line_Invoice.CustId = Customer.CustId and Customer.country IN (@country) ) LEFT OUTER JOIN Product ON (Order_Line_Invoice.ProdId = Product.ProdId) WHERE (MetaDates.Date BETWEEN dateadd(m, datediff(m, 0, DATEADD(month,-23,@EndDate) ), 0) AND dateadd(m, datediff(m, 0, DATEADD(month,-11,@EndDate) ), -1))
GROUP BY MetaDates.[Year], MetaDates.[Month], Customer.country, Order_Line_Invoice.prodcatid ORDER BY MetaDates.[Year], MetaDates.[Month]
That said the second outer join (Customer.country IN (@country)) never gets executed. It's really a simple concept. "Give me last 2 year sales by month (every previous and last month even if no sales) but only for the country the user is in"
Can someone help me out with this sql statement. Any help would be much appreciated.
I desire output by each hour of sales by different shop total with sales_datetime format is 20140831 22:30:xxx.
for example now is 23:05 then desire result is 23:00-23:05 of sale. ----------------------------------------------------------------- select shopid,qty,amount from sales where sales_datetime>='hh:mm' and sales_datetime<='hh:mm' group by shop
I want to calculate the sum of actual sales until a date and forecast sales after a date.I am not sure what the best approach to this problem is, but I have tried my best with the following approach. Any better ways to solve this (using DAX).
I have created a parameter table that offers the last date of each month as possible choices to the user. I have tried to create a measure that sums actual sales up until this date.
I need to calculate “NET_SALES” and “MARGIN_PERCENT” for each month of the current year … the following returns the same values for each month in the list, which are for the current month. Taking out the GROUP BY line works fine for an overall number.
but instead putting 31, I'd like to pull the totaldays from the actual_date using the Extract function so I try this
SELECT sum(sf.ORDER_QNT)/EXTRACT(DAY FROM LAST_DAY(to_date('05/01/13','dd/mm/rr'))) as AVGPERDAY, dd.month_number FROM sales_fact sf, date_dim dd WHERE dd.date_id = sf.date_id AND dd.month_number = 1 GROUP BY dd.month_number;
The result is nice, but now when I change the date with the dd.actual_date it gives error
SELECT sum(sf.ORDER_QNT)/EXTRACT(DAY FROM LAST_DAY(dd.actual_date)) as AVGPERDAY, dd.month_number FROM sales_fact sf, date_dim dd WHERE dd.date_id = sf.date_id AND dd.month_number = 1 GROUP BY dd.month_number; Error at Command Line : 1 Column : 53
Error report - SQL Error: ORA-00979: not a GROUP BY expression 00979. 00000 - "not a GROUP BY expression"
I need to list customers in a table that represents sales over the years.
I have tables:
Customers -> id | name |... Orders -> id | idCustomer | date | ... Products -> id | idOrder | unitprice | quantity | ...
I am using this SQL but it only gets one year:
SELECT customers.name , SUM(unitprice*qt) AS total FROM Products INNER JOIN Orders ON Orders.id = Products.idOrder INNER JOIN Customers ON Customers.id = Orders.idCustomer WHERE year(date)=2014 GROUP BY customers.name ORDER BY 2 DESC
I need something like this:
customer | total sales 204 | total sales | 2015 | total sales (2014 + 2015) -------- customer A | 1000$ | 2000$ | 3000$ customer B | 100$ | 100$ | 200$
Is it possible to retrieve these values in a single SQL query for multiple years and grand total?
Hi, Is there a way to write a stored procedure to get weekly report for 5 weeks?I currently use a stored procedure with 5 select statement to get the result for each week, but I was wondering it there is a way to do that with only one statementthanks
Hi. Im having a conceptual problem with tracking sales vs. call center calls. Each record in the fact table represents a call to the call center. In this record are various facts and foreign keys that map to marketing campaigns, etc. The product sold ID is NULL on no sale, and filled in for a sale. When creating MDX to retrieve data by campaign, for example, to track the number of calls for a campaign vs. its sales, that works fine (because theres a column labeled sale thats either 0 or 1 for the sale and I just sum it). This way I get the conversion percentage of calls to sales.
But when creating MDX to track the product sold, as soon as I do a crossjoin on campaign and products sold, for example, I lose the total calls- the number of calls is the same as the sales (similar results as a SQL join). Am I doing something wrong or is it conceptually impossible to track this type of metric down to the product when there are NULLs in the fact table? Ive tried converting the nulls to a NONE category, but that doesnt stop the crossjoin from not giving me the desired results, plus I then have to filter out NONE as a product. Is that why a lot of sample warehouses have a separate sales cube?
I need to get the sum of sales for the last date of each month group by custom and by month(fecha)
for example, for custom ='q' in month=8 I have 3 items in the last day of the month ='2014-08-15' totalling 13 and so on
DECLARE @sales TABLE (custom VARCHAR(10) NOT NULL, fecha DATE NOT NULL, sales NUMERIC(10, 2) NOT NULL); INSERT INTO @sales(custom, fecha, sales) VALUES ('q', '20140708', 51),
I am quite newbie, really grateful for some help how to create a sql sentence in Reporting Services that would return the best sales person from each shop.. The following returns all the sales persons from each shop
So how to select the top sales person from each shop? SELECT TOP (10) shop.name, SUM(Cd.Price) AS Sales, Personal.Name AS Salesperson FROM Purchase INNER JOIN Personal ON Purchase.Salesperson_id = Personal.Personal_id RIGHT OUTER JOIN shop ON Personal.work_id = shop.shop_id FULL OUTER JOIN Cd ON Purchase.Cd_id = Cd.Cd_id GROUP BY Shop.Name, Personal.Name ORDER BY Sales DESC
Or something like this? But how in Rep.Services???
...LEFT OUTER JOIN ( SELECT P.work_id, P.Name, SUM(C.Price) AS TotalSale FROM @Personal P INNER JOIN @Purchase B ON B.Salesperson_id = P.Personal_id INNER JOIN @Cd C ON C.Cd_id = B.Cd_id GROUP BY P.Work_id, P.Name ) D ON D.Work_id = S.Shop_id
Above says it. I'm trying to select a random 5% of sales for each salesman for the last day serviced. I've got it all down, but I can't get it down to salesman. I'm using a basic select:
name, address, order, order_id, etc where order_id in (select top 5 percent order_id from MYSERVER group by salesman, order_ID order by newid())
The actual statement's much longer and has more where statements, but the pertinent info is above. All I can manage to do is create very long-winded ways to pick a random 5% of all sales.
The GrossSaleAmount and NetSaleAmount are calculated fields. But for this post, kindly ignore why I am storing calcuated fields...
QUESTION: What I want to do is to populate another table (the DDL of which is give below) from tblSales in such a manner that the TOTAL sales from each product for each available date is grouped/summed together.