Hi,
We are trying to forcast product sales for next three months based on their sales for previous 12 months. In this case, Microsoft Time Series algorithm requires the sales data to be present for each product for past 12 months (???). However, our products have typical life span of 6 months and obviously the new products will not have sales before they were added. Any help will be very much appreciated.
Thanks
Riju
I have a fact table which lists the last 12 month historical sales of a product,country,month combination so the table structure is like:
<month, productID, countryID, (month-3 sales), (month-4 sales).........,(month-14 sales)>
I need to write an MDX query which will return a flag that indicates if a product has a gap of more than 2 consecutive months in terms of positive sales. So I calculate if there is a gap of 3 months. If yes, then return 1 else null. The calculation below is scoped at product level.
IIF(([month-3 sales]<=0 ANDÂ [month-4 sales]<=0 AND [month-5 sales]<=0)
OR Â ([month-4 sales]<=0 ANDÂ [month-5 sales]<=0 AND [month-6 sales]<=0)
OR ([month-5 sales]<=0 ANDÂ [month-6 sales]<=0 AND [month-7 sales]<=0)
...............
OR ([month-12 sales]<=0 ANDÂ [month-13 sales]<=0 AND [month-14 sales]<=0)),1,NULL)
Unfortunately I cannot do this calculation at relational level as a product may have a gap of more than 2 months at country level but may not have this at a higher level in geography.
optimizing this as the performance is bad and other calculated measures are dependent on this. Based on this calculation, I can write a scope which sums up all products so that I get the count of products with a gap of more than 2 months in sales.
I have also tried CASE statement and NESTED IIFs but the performance is worse than the above.
I have a sales order table that has customer, sales, product and sales date. Â 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. Â Can I use function to complete? Â I have a datedim table as well related to the sales date.
I am currently working on a website that deals with sales of products. For one of my pages for the website I need it to be able to change the current sales information for a specific product.
The top part of the following code selects the specific product however I cannot get the update query to work.
Code:
$describeQuery = "SELECT p.ID, p.NAME, dt.[Year], dt.[Month], dt.SalesVolume FROM Products p
join
(select ProductCode, sum(SalesVolume) as SalesVolume, [Year], [Month] from MonthlySales
group by ProductCode, [Year], [Month])dt
on dt.ProductCode = p.ID WHERE [NAME] = '$desiredProduct' AND [Year] = '$desiredYear' AND [Month] = '$desiredMonth'";
$editQuery = "UPDATE MonthlySales SET SalesVolume = '$NewSales' WHERE ID = '$desiredProduct' AND Year = '$desiredYear' AND Month = '$desiredMonth'";
$query = sqlsrv_query($link, $describeQuery);
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:Â 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 the below data. I need to produce a report that shows customer and total sales who had the max sales by year.
Order ID Cust ID Year Sales
O1 C1 2000 100
O2 C1 2000 150
O1 C2 2000 50
O1 C1 2001 150
O2 C3 2001 200
Report:
Cust ID Year Sales
C1 2000 250
C3 2001 200
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.
SalesQuantityActual:=IF(HASONEVALUE(parLastActualMonth[Date]);CALCULATE(factSalesActual[Quantity];factSalesActual[Date]<=VALUES(parLastActualMonth[Date]));BLANK())
Unfortunately the measure above does not work.
In addition to the parameter table, I also have a normal date table.
I am using the code below to get all the children of a particular product and it is working fine. How to get the particular product's id in the select statement. for example, i need to show 891 in a separate column for all the records returned by the query below.
DECLARE @Hierarchy TABLE (Product_Id INT, Parent_Product_Id INT)
INSERT INTO @Hierarchy VALUES (123, 234)
INSERT INTO @Hierarchy VALUES (234, 456)
INSERT INTO @Hierarchy VALUES (456, 678)
INSERT INTO @Hierarchy VALUES (678, 891)
INSERT INTO @Hierarchy VALUES (891, NULL)
[Code] .....
Hi I installed the add-in for excel data mining but when i try to select a table, in the tab of analyze, dont have any properties. please help me.
carlos of southamerica
I've saw many tutorials about using TimeSeries. But all of them using a table. But I'm using a cube to represent data. So I'm trying to build forecast from cube, but it doesn't so good as in could be.
I've got the same problem as desribed in Microsoft's tutoral Adventure work. So I need to forecast a series of sales.
The problem is that I can't create second key value, as it shown in tutorial. So I can't split good's sales. I have created dimentions for goods and for time. So cube's browser shows me very handsome view, but the problem with mining model still remains...
Please, help me! How can I solve this problem?
Can I create a separate table from cube to build forecast by this table?
Or I can solve this problem not using tables?
I have built an analysis cube and I am wondering how I can now somehow add in some kind of forecastinbg to it?
I have a time dimension in years, quarts, months, days.
Is there a way I can show forecasting calculations for future dates?
In order to setup my forecasting mining model I have created a special view that runs against my fact table and creates time series on the level I need.
Code Snippet
Select DFUKEY, DATE, QTY from Dim_FACT where DFKEY like '020%'
So I get the following input fr my model:
time series key (e.g. DFUKEY)
date (time key)
QTY (to be predicted)
For testing purposes I created a small view (similar to AdventureWorks) that only contained a few time series. The model was created and processed in ~2 minutes or less. The viewer came up almost immediately and I was able to see results.
Now my real view has about 25000 time series I need a forecast for and that I also like to review in the viewer. If I create a mining model against that bigger view the processing takes ~15m or so and the viewer is likely to time out.
The worst part thought is when I try to get the forecast for a time series (see query below) it takes minutes before the answers come back.
Code Snippet
SELECT FLATTENED [DFUKEY], PredictTimeSeries([QTY], 12)
FROM [TimeSeries]
WHERE [DFUKEY] = '02078147AG'
I would understand if without the WHERE clause it would take long but as is?
I am pretty sure I created the model the right way so I wonder if somebody can give me recommendations as to how forecast larger numbers.
Finally I intend to call the foarcast for a particular series using an Action from within a cube.
Thanks in advance.
Dirk
Hi All,
Does anyone know how is forecasting defined in the Data Mining Add-In (Excel)? If we look to the web, we would see different Forecasting Standards. What specific Forecasting algorithm and standards used in the Forecasting in the Data Mining Add-In (Excel)?
Regards,
Joseph
I€™m having a problem with Excel 2007 DM and SQL 2005 and I hope someone out there has a solution.
Consider the following environment:
Windows XP SP2 or Windows Vista, Excel 2007, Data Mining Add-in, SSAS 2005 (with session mining models enabled, an AdventureWorksDW cube deployed and drill-through actions available).
Now take the following steps:
1. In Excel 2007 set up a connection to SSAS
2. Connect to the cube and create a new pivot table report (drag and drop whatever you like)
3. Right-click on one of the cell values in the data region and either select a drill-through action, or, select Show Details in the context menu
4. Ensure that you have at least 10 detailed records that are generated on a new worksheet page; you should have a time-based column in your detailed records
5. Select the table of detailed data, then select the Analyze tab (within the Table Tools grouping) which appears in the topmost menu above the ribbon
6. Click the Forecast button in the ribbon and choose both the field which you want to predict as well as the time-based column (from step 4) as well as the number of time periods to forecast
7. Finally click OK.
1. Having followed these steps on both WinXP SP2 and Vista, I keep coming across the exception: HResult:0x800A03EC. Any ideas as to why this exception pops up? If I was using a normal table of data (which was not generated from a Show Details or drill-through action), then the Forecast button works fine.
I googled it and thought the localization settings for SSAS 2005 and Excel 2007 needed to be the same (initially they weren€™t). I€™ve tried removing the auto-filters which appear atop each column in the detailed data table prior to clicking the Forecast button, and, I€™ve also tested for a series of data across a number of time periods with the same result.
Also, a colleague of mine discovered that the column headers that appear by default from a drill-through start with "$[", and, in removing them the Forecast function appears to work.
I would have thought there would be a seamless transition in Excel 2007 between data retrieved from a cube and the DM Add-in featueres (or at the very least, a more meaningful exception message than the one presented).
Is there something I€™ve missed, or, is there a KB article I haven€™t come across yet? As I know for a fact that the problem is reproducible, is there a fix to this problem on its way to us? Is there a useful workaround that doesn't require manual intervention?
Thanks,
A.
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?
Thanks.
Hi.
I’m 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. it’s sales, that works fine (because there’s a column labeled sale that’s 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? I’ve tried converting the nulls to a NONE category, but that doesn’t 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?
Thank you,
Richard
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),
[Code] .....
I have a table tblSales ( DollarAmount,DateSold, Barcode --- ) in SQL MSDE 2000.
What I want is the Top 5 sales for EACH month:
Month TotalSales Barcode
2006-05 Top01 Barcode01
2006-05 Top02 Barcode02
2006-05 Top03 Barcode03
2006-05 Top04 Barcode04
2006-05 Top05 Barcode05
2006-04 Top11 Barcode11
2006-04 Top12 Barcode12
2006-04 Top13 Barcode13
2006-04 Top14 Barcode14
2006-04 Top15 Barcode15
2006-03 Top21 Barcode21
2006-03 Top22 Barcode22
---- --- ----
--- ---- ---
TopNN is SUM(DollarAmount).
I created a table AAAA and use a while loop to insert the data into AAAA.
What I did is:
declare @StartDate and @EndDate, set @StartDate and @EndDate
Delete AAAA
Begin
While (@EndDate<GetDate())
Begin
Insert into AAAA(sales, Month, Barcode)
Select TOP 5 SUM(DollarAmount) AS sales,
LEFT(CONVERT(CHAR(8),DateSold,112),4)+'-'+RIGHT(LEFT(CONVERT(CHAR(8),DateSold,112),6),2) AS Month,
Barcode
from tblSales
where something
group by something
order by sales1 DESC
increase @StartDate and @EndDate by a month
End
Select * from AAAA
It works fine. My question is: Can I get rid of table AAAA?
How can I use T-SQL only to get the correct sets?
Thanks in advance.
Long
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.
Hi,
I currently have a table whose DDL is as follows:
CREATE TABLE [tblSales] (
[OrderID] [int]
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[QtySold] [float] ,
[UnitPrice] [float] ,
[Discount] [float] ,
[GrossSaleAmount] NULL ,
[NetSaleAmount] [float]
)
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.
CREATE TABLE [tbl_Product_Grouped_Sales] (
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[TotalQtySold] [float] ,
[NetSaleAmt] [float]
)
Thanks in advance for your help.
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
thanks
hello,
I need to write a query based on the top MTD sales in the series of each fabrics within series of Sales Group and Prod Group
Order by: Sales Group (alphabetical ord) , Prod Group (alphabetical ord) , sort Fabric Group based on the TOP MTD sales
Sales Gr: Active
Prod gr: Adult, Girls, Plus, LG
Fabric Gr: 1,2,3,4,5,6,7,8,...
Sales Gr: Dance
Prod gr: Adult, Girls, Plus, LG
Fabric Gr: 1,2,3,4,5,6,7,8,...
Sales Gr: Yoga
Prod gr: Adult, Girls, Plus
Fabric Gr: 1,2,3,4,5,6,7,8,...
Thank you
I ran the following but only received the top 3 sales.
with cte as (
select SALESMAN_ID,
ORDER_NO,
ORDER_TOTAL,
rank() over (partition by order_no
[Code] ....
results:
salesman_idorder_noorder_total
BF 9389037333.86
BF 8630094288.59
BF 8630813491.90
How can I get top 3 sales per salesmanid:
My main datasource is a rather poorly written and documented SQL database. I am currently working in SQL Server 2000 but will be upgrading to 2005 in 6 months to a year. There are three sales order tables.
SOMAST Sales Order Master Table
SOITEMS SO Items Table
SORELS SO Releases Table
My employer wants to track how our sales orders change over time. This would be a nightly process. They want to track changes in certain columns such as price and quantity to see if they differed from yesterday and to keep those changes separate in another table or set of tables to track them. This of course would include newly entered sales orders for that day as well. Our current erp system does not support this.
This seems like a huge task to a neophyte like myself, but I am tasked with doing this. Am I correct in assuming the correct method would be a stored procedure that does the following:
1. Check the current tables at end of day today and compare them with a saved version of yesterday's tables.
2. Insert into a 3rd table (or set of them) the differences.
3. Copy today's tables over yesterday's tables so they are available tomorrow.
I realize this task is difficult, but am I at least starting in the right direction?
Experts Only Please. (jk)
Looking for sql query for this requirement output and default get the current day and time as day 7 with count start of 7 day before. Today is Sun. Thus start day is last sun.
now the time is 22:00 & group by shop plus underline +24 hour format
Sun Mon Tue Wed Thur Fri Sat Sun Total
Shop A 20:00-21:00 $2 $10 $15 $5 $2 $10 $0 $100 $xxx
Shop A 21:00-22:00 $1 $10 $15 $5 $2 $10 $0 $100 $xxx
Shop A 22:00-23:00 $1 $10 $15 $5 $2 $10 $0 $no sales $xxx
Total $4 $20 $30 $10 $4 $20 $0 $200 $xxx
-------------------------------------------------------------------
Shop Z 22:00-23:00 $20 $15 $5 $2 $10 $0 $no sales $xxx
Shop Z 23:00-00:00 $10 $15 $5 $2 $10 $0 $no sales $xxx
Total $30 $30 $10 $4 $20 $0 $no sales $xxx
I have a salesman file and a sales history file.
I want to list all Salesman in the Salesman file along with there sales. If there is no record in the sales file I still want to see the salesman listed.
I've tried this but it doesn't seem to work. The code below is only listing salesman if they have sales in period 10.
select s.humres_id , sum(q.Sales) as Sales, sum(q.Cost)as cost
from arslmfil_SQL s left outer join QIVSalesMTDYTDCustSalesPerson Q on s.humres_id = q.slspsn_no
where Year=2014 and Period = 10
group by s.humres_id
It's been a long time since I've built tough queries and need some help.
I need to report all sales that happened within a quarter but were reported after the quarter end.
Quarters
Q1 - 1/1 thru 3/31
Q2 - 4/1 thru 6/30
Q3 - 7/1 thru 9/30
Q4 - 10/1 thru 12/31
Sample Data
ticketid salespersonid saledate sale_entereddate
1234 bsmith 1/1/2006 2/1/2006
1235 jgarcia 3/31/2006 4/1/2006
1236 bsmith 1/1/2006 2/3/2006
1237 jdoe 6/23/2006 7/1/2006
1238 bsmith 8/5/2006 8/6/2006
1239 bsmith 10/1/2006 1/1/2007
Hi,
I have 2 dimensions Time and Product....
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.
Can't remember which is the best way....
Does transaction table have a PK?!
table details:
order_no - fk (from orders table)
company - fk (from orders table)
product fk (from stock table)
whse fk (from stock table)
qty
price
should i have a unique_no column so that there is a pk?!
Thanks!
Hi,
I currently have a table whose structure is as follows:
CREATE TABLE [tblSales] (
[OrderID] [int]
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[QtySold] [float] ,
[UnitPrice] [float] ,
[Discount] [float] ,
[GrossSaleAmount] NULL ,
[NetSaleAmount] [float]
)
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.
[blue]CREATE TABLE [tbl_Product_Grouped_Sales] (
[SaleDate] [smalldatetime] ,
[ProductCode] [nvarchar] (255) ,
[TotalQtySold] [float] ,
[NetSaleAmt] [float]
)
Thanks in advance for your help.
My Table struct
create table cust
(
cust_id int ,
city varchar(20),
pincode int,
sales int,
latitude float,
longitude float
[code]....
like i wanna display each pincodes how to make a code?
I know this is an easy one, but for some reason i keep gettin the wrong results.
This displays something like this :
Question_description Visit_Activity_Id SR_Name
Vacation 5 Judy Smith
Sick 2 Judy Smith
Visit 1 Tom Mathews
Training 3 Karen Williams
But i want it to show all the SR_Name's ..like this:
Question_description Visit_Activity_Id SR_Name
Vacation 5 Judy Smith
Sick 2 Judy Smith
Visit 1 Tom Mathews
Training 3 Karen Williams
NULL null Tom Jones
NULL null Kim Jones
NULL null Jon Travis
Any help will be grately appreciated! thanks!
Code Block
ALTER PROCEDURE [dbo].[PROC_RPT_SR_DAILY_ACTIVITIES]
(@Region_Key int=null, @Daily_activity_statistics_datetime datetime )
AS
BEGIN
SELECT Customer.Name as Store_Name,
Tbl_Daily_Activity_Statistics.SR_Code,
Tbl_Daily_Activity_Statistics.Territory_Code,
Tbl_Daily_Activity_Statistics.Customer_code,
Tbl_Daily_Activity_Statistics.in_progress_time,
Tbl_Daily_Activity_Statistics.completed_time,
Tbl_Daily_Activity_Statistics.Visit_Activity_Id,
Tbl_Daily_Activity_Statistics.dial_in_datetime,
Tbl_Daily_Activity_Statistics.question_code,
tbl_Questions_to_RC_Question.RC_Question_description,
Qry_Sales_Group.SR_Name, dbo.Qry_Sales_Group.Region,
Qry_Sales_Group.Region_Key,
Tbl_Daily_Activity_Statistics.Daily_activity_statistics_datetime
FROM Tbl_Daily_Activity_Statistics
INNER JOIN tbl_Questions_to_RC_Question
ON Tbl_Daily_Activity_Statistics.question_code = tbl_Questions_to_RC_Question.question_code
INNER JOIN Qry_Sales_Group
ON Tbl_Daily_Activity_Statistics.SR_Code = Qry_Sales_Group.SalesPerson_Purchaser_Code COLLATE Latin1_General_CI_AS
LEFT OUTER JOIN customer
ON dbo.Tbl_Daily_Activity_Statistics.Customer_code = dbo.customer.customer_code
WHERE Region_key=@Region_key AND Daily_activity_statistics_datetime = @Daily_activity_statistics_datetime
END