We are trying to calculate average stock from a movements table in a single sql sentence.
As far as we are, no problem with what we thought was a standard approach, instead of adding up the daily stock and divide by the number of days, as we don’t have daily stock, we simply add (movements*remaining days) :
select sum(quantity*(END_DATE-move_date))/(END_DATE-START_DATE)
from move_table
where move_date<=END_DATE
This is a simplified example, in real life we already take care of the initial stock at the starting date. Let’s say there are no movements prior to start_date.
Quantity sign depends on move type (sale, purchase, inventory, etc).
Of course this is done grouping by product, warehouse, ... but you get the idea.
It works as expected and the calculus is fine.
But (there is always a “but”), our customer doesn’t like accounting days when there is no stock (all stock sold out). So, he doesnt like
Sum of (daily_stock) / number_of_days (which is what we calculate using a diferent math)
Instead, he would like
Sum of (daily stock) / number_of_days_in_which_stock_is_not_zero
For sure we can do this in any programming language without much effort, but I was wondering how to do it using plain sql ... and wasn’t able to come up with a solution.
Any suggestion?
Consider creating a new table called something like Stock_EndOfDay_History that has the following columns.
stock#
date
stock_count_eod
This table would get a new row for each stock item at the start of a new day for the prior day. Rows could then be purged from this table once the applicable date value went outside the date window of interest.
To get the "number_of_days_in_which_stock_is_not_zero", use this.
SELECT COUNT(*) AS 'Not_Zero_Stock_Days' FROM Stock_EndOfDay_History
WHERE stock# = <stock#_value>
AND <date_window_clause>
Other approaches might attempt to just add a new column to the existing stock table to maintain a cumulative sum of the " number_of_days_in_which_stock_is_not_zero". But inevitably, questions will be asked as to how did the non-zero stock days count get calculated? Using this new table approach will address those questions better than the new column approach.
I am a graduate intern at a big company and I'm having some trouble with creating a measure in PowerPivot.
I'm quite new with PowerPivot and I need some help. I am the first person to use PowerPivot in this office so I can't ask for help here.
I have a fact table that has basically all journal entries. See next table. All entries are done with a unique ID (serialnumber) for every product
ID DATE ACCOUNT# AMOUNT
110 2010-1-1 900 $1000
There is a dimension table with has all accounts allocated to a specific country and expense or revenue.
ACCOUNT# Expense Country
900 Revenue Germany
And another dimension table to split the dates.
The third dimension table contains product information, but also contains a column with a certain expense (Expense X).
ID Expense X ProductName Productcolour
110 $50 Flower Green
I made sure I made the correct relations between the tables of course. And slicing works in general.
To calculate the margin I need to deduct this expense x from the revenue. I already made a measure that shows total Revenue, that one was easy.
Now I need a measure to show the total for Expense X, related to productID. So I can slice in a pivot table on date and product name etc.
The problem is that I can't use RELATED function because the serial number is used multiple times in the fact table (journal entries can have the same serial number)
And if I use the SUM or CALCULATE function it won't slice properly.
So how can I calculate the total for expense X so it will slice properly?
Check the function RELATEDTABLE.
If you create a dummy dataset I can play around and send you a solution.
I have a table of data with the following:
User,Platform,Dt,Activity_Flag,Total_Purchases
1,iOS,05/05/2016,1,1
1,Android,05/05/2016,1,2
2,iOS,05/05/2016,1,0
2,Android,05/05/2016,1,2
3,iOS,05/05/2016,1,1
3,Android,06/05/2016,1,3
1,iOS,06/05/2016,1,2
4,Android,06/05/2016,1,2
1,Android,06/05/2016,1,0
3,iOS,07/05/2016,1,2
2,iOS,08/05/2016,1,0
I want to do a GROUPING SETS (Platform,Dt,(Platform,Dt),()) aggregation to be able to find for each combination of Platform and Dt the following:
Total Purchases
Total Unique Users
Average Purchases per User per Day
The first two are simple as these can be achieved via a sum(Total_Purchases) and count(distinct user) respectively.
The problem I have is with the last metric. The result set should look like this but I don't know how to get the last column to be calculated correctly:
Platform,Dt,Total_Purchases,Total_Unique_Users,Average_Purchases_Per_User_Per_Day
Android,05/05/2016,4,2,2.0
iOS,05/05/2016,2,3,0.7
Android,06/05/2016,5,3,1.7
iOS,06/05/2016,2,1,2.0
iOS,07/05/2016,2,1,2.0
iOS,08/05/2016,0,1,0.0
,05/05/2016,6,3,2.0
,06/05/2016,7,3,2.3
,07/05/2016,1,1,1.0
,08/05/2016,1,1,1.0
Android,,9,4,1.8
iOS,,6,3,1.2
,,15,4,1.6
For the first ten rows we see that getting the Average purchase per user per day is a simple division of the first two columns as the dimension in these rows represent a single date only. But when we look at the final 3 rows we see that the division is not the way to achieve the desired result. This is because it needs to take an average for each day in turn to get the overall per day amount.
If this isn't clear please let me know and I'll be happy to explain better. This is my first post on this site!
I have a table in Access that is setup like the one in the photo. What I need to do is this:
For each part no, I want to sum the total Qty for each month and type (Ordered and Demand). Then I need to cap the qty in the rows where the type is = to Orders to the value of the Qty where the type is = to Orders, when the sum of the Qty for Ordered is greater than Demand. Let me try to explain it another way.
I want to look at a subset of the master data, in this case the subset is by part no (rows with identical part numbers). For this subset I want to have two sets of sums. 1. The sum of qty with type = Ordered AND 2. a sum of qty with type = Demand. If the sum for Ordered is greater than demand, I want to change the Qty for Ordered to be the value of the Qty for Demand.
Essentially, the business reason is that for reporting purposes the total Qty for Ordered shouldn't be more than Demand in a given month, for a part number.
Looking at the photo, the rows in red will need to change because the sum of the qty is 30, which is greater than the sum of qty for the green rows (25). The red rows qty should be changed to 20 and 5 to match the green rows.
Whew, hope this made sense because it is hard to explain. I have tried many things for a couple weeks now, and I am a bit fuzzy on the details so I will just give a high level. Ok so what have I tried:
I have tried to join the table to iself, using part no (and date I believe) to join on, but that doesn't work because the sum would somehow be incorrect sometimes.
Pivot the table, using the transform and pivot functions in Access but it's important for me to keep the individual dates in tact and when I pivoted it I had to roll it up on a month basis. This gives me the row structure I need to make the changes but I don't know how to get back the original date format after I am done.
I am guessing I need some VBA code that loops through each part no, but I am not big on VBA code and I don't have much time to learn it. Any suggestions? I know this is long winded but its a complicated problem (at least for me). Thanks in advance.
NOTE: I am not making changes to a database. I am creating a report.
The purpose of the report is to show pending orders that need to be assembled for shipment, but not until there is enough stock to fill the order. An order includes multiple inventory items, but the inventory on hand must be >= the ordered amount per each inventory item and in order by oldest date first before the order can be added to the report.
I've written this to where it pulls the orders, but I need it to loop through to the next order and carry over the quantity of inventory On Hand from the calculation prior to this order. When the calculation is < 0, I don't need to see the order.
EXAMPLE OUTPUT:
Order Date | Order No | Item No | Quantity Ordered | On Hand | Available Qty
2015-01-01 123456 555555 50 60 10
2015-01-02 555544 555555 10 10 00
Notice On Hand says 60 for Item No 555555 in the first row. This is the actual QOH, but the report needs to subtract the amount that was ordered in the previous line from my On Hand stock, and give me the remainder, or show the new available total under On Hand. When my On Hand amount can't fulfill an order, I don't want the order to appear on my report. My current report shows On Hand to be 60 in both rows, and instead of zero, like above, it just subtracts 10 from 60, as if it's my only order.
I don't know what approach to take to do this type of incremental change in a field, but I am assuming it involves a loop and a variable (If I need to add a variable, then it needs to begin with the actual Quantity on hand), ???? Could someone please assist me with a direction? My search to answer this has only left me more unsure of how to do this. I can provide the SQL, but it is rather complicated, so I am trying to keep this on a more general level.
"Looping" should be used as a last resort in SQL. You can do so using a CURSOR but they tend to run slower and require more work than standard SQL commands.
I would recommend trying to break this problem down into smaller tables using sub-queries / CTEs (Common Table Expressions). Can you create a query that shows the total on hand amounts for each item number? Now put that into a sub-query and start building on top of it.