I need to get sales figures from open orders, sorted by code. The items are separated in the stock table by lot number (for traceability reasons) but the lot numbers do not appear in the orders table. The only link between the 2 tables is the part number.
When my query
SELECT code, SUM(qty*price) AS Sales
FROM orders INNER JOIN stock ON orders.partno = stock.partno
GROUP BY code
started returning strange results (very high sales figures for a given code), I changed it to
SELECT DISITNCT orders.partno, stock.lot, stock.code
FROM orders INNER JOIN stock ON orders.partno = stock.partno
and noticed that if several lots of a given part are in stock they are all returned
Part1 LotA code
Part1 LotB code
Part1 LotC code
which means that if a customer orders 300 units of Part1, my query returns 900 and my sales figure is multiplied by 3.
How can I work around that?
It must be noted that I do not work from a database but from a group of tables, the structures of which can sometimes be whimsical.
You should really use table.column or alias.column reference when writing queries. As your question stands, we do not know which table the PRICE comes from... the parts table or the lots table. If you are dealing with inventory tracking such as FIFO or LIFO method accounting, you must have an association to the lot table for inventory being tracked/sold.
Now, why are you getting large numbers? That is because of a Cartesian result. If you are not familiar with that, for each record in one table joined to another, it is returning however many matches.
So, if you have an order of one line item, there is only one line item in a products available table. So this is simple 1:1 ratio. Now, you have your STOCK table that can have multiple records for the exact same part number. You are now returning the same original order line item for EACH LOT ENTRY in the Stock table. So now, for your 1 item, you are getting 3 lots (1:3 result).
I know this is important from a cost-of-goods sold basis, hence your need to know which "lot" it is joined to so you only get that one specific record for proper pricing.
If however, you do have a generic product table of everything you sell, and that table has a generic common price no matter which "lot" was used for the sale, I would join to that table instead for your report. But you will still have the accounting issue of inventory, cost-of-goods, etc.
Related
I don't know if I even worded the question correctly, but I'm trying to create a measure that depends on what is showing in the pivot table (using PowerPivot). In the image I posted, "DealMonth" is an expression in the PowerQuery table itself that simply takes the start date of the employee and subtracts it from the month a deal was closed in. That will show how long it took for that salesperson to close the deal. "TenureMonths" is also an expression in the PowerQuery table that calculates the tenure of the person. The values populating this screenshot are coming from a total headcount measure created. What I'm trying to do is create a separate measure that will show when the "TenureMonths" is less than the "DealMonth." So if the TenureMonths is 5, then after DealMonth of 5, the value would be 0. Is this possible?
Screenshot
I should add the following information.
"DealMonth" - Comes from the FactData table
"TenureMonths" - Comes from the DimSalesStart table
These two tables are joined by name. I feel like I'm so close because I can see what I want. The second image below is a copy/paste of the pivot table result but with my edits to show what I'd want to have shown. Basically, if(TenureMonths >= DealMonth,1,0). The trouble seems to be that since they're in two different tables, I can't make it work. The rows in the fact table are transactions, but the rows in the dim table are just the people with their start and end dates.
Desired Result
This is possible with some IF([measure1]<[measure2],blank(),[measure1]), however without seeing more of the data it will be hard to guide you specifically.
However you need to create two separate measures, one for TenureMonths and one for DealMonth, depending on the data this can be done with an aggregator forumla such as sum, min, max, etc (depends if there will be more than one value).
Then reference those two measures in the formula pattern I mentioned above, and that should give you want you want.
I figured out a solution. I added a dimension table for DealMonth itself and joined to my fact table. That allowed me to do the formulas that I needed.
I need help.
I am new to obiee (recently moved from business objects and re-creating all reports in obiee).
Here is an example I need help with. I have created an analysis where I am listing all orders with their target delivery dates and number of products in each order.
Order Id......Target Delivery Date...No of products
Abc....1/1/2016.....5
I want to add to a column next to No of products called "No of prods delivered on time". I want to compare delivery date of each product within a order with the target delivery date and
Give count of products delivered within the target date.. So the output should be
Abc....1/1/2016....5.....3
Where 3 is number of products delivered on time.
I could do it in BO by running two queries and merging them however in obiee I am not able to add second query to my analysis. I did try at product level using case when target date >=delivery date then 1 else 0 and wrapped this with sum function to aggregate but it didn't work ..
Appreciate your help in this. Searching for this topics give me results for running queries from multiple subject area :(
You also have unions in OBIEE, you union the results of 2 queries which return the same structure, so you have query A with Order ID, Target Date, No Products and a Dummy column with a 0 and default agregation Sum, and a second query with Order ID, Target Date, Dummy column summing 0 and the number of products delivered.
You do all this in the criteria tab of the analysis. It's important the order in which you put your columns, because that's what OBIEE is using to do the union.
Regards
I am starting to use all de PowerBI tools for a customer.
On the data they have three shops (1,2 and 4, named in the table "botiga") and diferent departments (named in the table "departament").
I need to calculate the sales (named "vendes" or Ventas[import]) of all the departments and all the shops but I have to exclude in the calculation the ones that correspond to the shop 1 and 2 and also correspond to the department 61.
All the realated columns are in the same table named "Ventas"
I did it and it Works with this measure:
vendes sense carnisseria:=[Vendes]-SUMX(FILTER(Ventas;Ventas[Botiga]<>"4" && Ventas[Departament]="61");Ventas[Import])
Vendes:=sum(Ventas[Import])
But I am sure that theri is a better way to do it, I have tried to do like in excel when we do SUMIF but doesn't seems to work.
I use FILTER beacouse I want that the data filters used in the associated pivot table remain.
Calculate is like a supercharged Sumif.
Try something like
Carnisseria:=
[vendes] - Calculate([vendes];Ventas[Botiga]<> "4"; Ventas[Departament]="61")
I would also check that you want any shop that isn't #4 or if you want just shops #1 and #2. While that yields the same results right now, it may not in the future.
I've just discovered Access, having always been an Excel/VBA man... and now I've hit a roadblock!
I'm building an inventory database for my employer. I have 2 tables, one containing one column of 'stockID's (lets call this table 'tblWarehouse'), and another containing two columns: a column of 'orderID's and a column of 'stockID's (lets call this table 'tblOrders'). (For the sake of this question, lets disregard things like quantity, price etc)
We don't keep all the goods we sell in our own warehouse, some are sourced directly from the manufacturer to the customer, which means that not all tblOrders!stockID will be present in the list tblWarehouse!stockID. I need to find out when this is the case!
I want to create a third column in tblOrders containing a dummy variable = 1 if that particular item is in our warehouse. In other words, I want to create a calculated column = 1 if tblOrders!stockID can be found in tblWarehouse!stockID. Can this be done?
I've found that I can't reference another table directly, so I've been trying my hand at queries, user defined functions and relationships, but to no avail. I've also been having trouble with the Access-lingo and veritable forest of different places to input seemingly the same expressions... so please, if u have an answer for me, be sure to specify where things are located!
Much obliged!!
If you are linking the two tables in a query using an inner join, only order records having at least one stock entry will be included in the result. In order to include those with no stock entry at all, create a left outer join.
SELECT O.OrderID, IIf(IsNull(MAX(W.StockID)), 0, 1) AS StockAvailable
FROM
tblOrder O
LEFT JOIN tblWarehouse W
ON O.StockID = W.StockID
GROUP BY O.OrderID
You can also determin the join type in the query designer by right clicking a relation line and selecting "Join Properties" and then select "Include ALL records from tblOrders ...". You can make a grouping query by clicking the big Sigma-symbol in the symbol list.
newparts_calc
if (([MonthToDateQuery].[G/L Account] = 4200 and [Query1].[G_L_Group] = 'NEW')) THEN ([Credit Amount]-[Debit Amount]) ELSE (0)
Data Item1
total([newparts_calc])
I need Data Item1 to return newparts_calc values only.
So for example in 1st row Data Item1 should be 8,540.8, but is 34,163.2
Whats wrong? how do i fix?
REVISED QUESTION
I apologize for not making sense on the original question.
I have many of the calc's that im trying to gather and put on a crosstab. I want to see sales by month (row) and part category (column)
[Query2] is the one shown in picture above.
It joins [MonthToDateQuery] AND [Query1]
The join is on 'Invoice' and carnality is 1..1 = 1..1
[MonthToDateQuery] is based on the package im working in. General ledger. It supplies the g/l entries for each sales g/l account
[Query1] is a SQL query i brought in to be able to break out categories even further from g/l group.
For example g/l account 4300 is rebuilt. However i needed to break out even further to see Rebuilt-Production and Rebuilt-New. I can do that with the g/l group.
I saw in my g/l account ledger entries that it referenced the invoice number. So thats how i tied in my SQL.
So as you can see from the table below (which is the view tabular data from query) i need a total. I have tried plugging newparts_calc into my crosstab and setting aggregation to total but the numbers still dont seem right. I dont think i have something set as it should be.
All the calc's im doing are based on single or multiple G/L Accounts and single or multiple G/L Groups.
Any Advice?
As you can see the problem seems to be duplicate invoice numbers.
How can i fix?
Couple things come to mind:
-Set the processing order to 2
-Since your calc is always a multiple and you are joining two queries, you may need to check your cardinality. Sometimes it helps to add derived queries to ensure you are working with the correct grain.
I'm obviously missing something, but if you want
I need Data Item1 to return newparts_calc values only.
just use newparts_calc, without total? That would give you proper value for row 1 -)
If you need a running-total for days (sum of values for previous days) — you should use a running_total function.
At a guess, one of your two queries is returning multiple rows for each invoice, which will cause this double counting. Look at the output of the two queries and see if that's happening. If so, then you just need to work out how to collapse that down to one row per invoice.
Per your new question - The underlying data has got to be causing the issue. Its clearly not 1:1 (note that even though this is what your stated cardinality is, Cognos does not enforce 1:1). Invoice number is not unique, GL Group is at a lower level.