I Created webi report result in crosstabe table,
when I try to get only the customer who made trans more than 50 in total like the customer 222 all the data less than 50 not show up,
example:
customer (222)
did two actions 1- 3/25/2018 with amount 209 gb,
2- 3/29/2018 with amount 14 gb,
the sum of both is (223),
I need to get all customer who made more than 50 actions in all days, when I try that by adding a filter the action in day 3/29/2018 is not shown & only the action in 3/25/2018 is what I get.
Related
Scenario:
I have a table that has all of the customer purchases by Month and each month has a period. Within that table I am showing the customers that have made purchases in each Month/Period. What I am trying to figure out is how to exclude any customer that made a purchase in the previous month so that the repeat purchases are only for unique customers. The data looks like the following:
customer_email
cohortMonth
month_number
orders_for_period
abc#gmail.com
10/2019
0
2
def#gmail.com
10/2019
0
1
ghi#gmail.com
10/2019
0
1
def#gmail.com
10/2019
1
1
abc#gmail.com
10/2019
1
1
def#gmail.com
10/2019
2
1
In the Table above for Month_number=0 we have 3 total customers and within this period customer abc#gmail.com was the only repeat customer because they have 2 orders. This would show as a 33% repeat purchase rate for month_number 0. For Month_number=1 we have 2 customers that have purchased again in the period but only def#gmail.com is unique as abc#gmail.com already made the purchase. This would then bring the repeat_rate to 66% as now 2 customers have comeback and purchased out of the 3 that originally purchased.
cohortMonth
month_number
repeat_purchase_rate
10/2019
0
33%
10/2019
1
66%
10/2019
2
66%
With every unique customer that purchases in the subsequent periods we want to add that to the total to understand the repeat rate at a cumulative level.
I have tried a ton of different ways to figure this out but backing out the customers that made purchases in the previous period and only showing the unique customers is where I am struggling at. Any help is greatly appreciated!
Side Note: Whenever I format a table it looks like how I want it to look in the preview but then when I review I get the error :"Your post appears to contain code that is not properly formatted as code. Please indent all code by 4 spaces using the code toolbar button or the CTRL+K keyboard shortcut. For more editing help, click the [?] toolbar icon."
I then indent and it breaks the way the table looks. Any help on that would be great as well. Thank you
I have 2 tables: Customers and Actions, where each customer has uniqe ID (which can be found in each table).
Part of the customers became club members at a specific date (change between the customers). I'm trying to summarize their purchases until that date, and to get those who purchase more than (for example) 200 until they become club members.
For example, I can have the following customer:
custID purchDate purchAmount
1 2015-05-12 100
1 2015-07-12 150
1 2015-12-29 320
Now, assume that custID=1 became a club member at 2015-12-25; in that case, I'd like to get SUM(purchAmount)=250 (pay attention that I'd like to get this customer because 250>200).
I tried the following:
SELECT cust.custID, SUM(purchAmount)totAmount
FROM customers cust
JOIN actions act
ON cust.custID=act.custID
WHERE act.clubMember=1
AND cust.purchDate<act.clubMemberDate
GROUP BY cust.custID
HAVING totAmount>200;
Is it the right way to "attack" this question, or should I use something like while loop over the clubMemberDate (which telling the truth-I don't know how to do)?
I'm working with Teradata.
Your help will be appreciated.
I got a request from user to develop a report that show the invoice detail in one display.
All I found was how to show two different tables in the same page.
Is there a way to show it in the same table but with two header?
It's something like this.
HD Billing Doc. Doc. Currency Sales Org Distr. Channel Billing Date
IT Item Billed qty Sales unit Net weight Net value
HD 900230006 USD JH01 01 05.01.2014
IT 10 60 KG 60 1000
IT 20 20 BAG 20 4000
HD 900230007 EUR JH01 01 05.01.2014
IT 10 22 KG 22 990
IT 20 67 BAG 67 456
IT 30 15 KG 15 897
You can use ALV functionality to do this.
You can use the ALV object model to apply tables in three different
ways:
as a simple, two-dimensional table ( CL_SALV_TABLE class)
as a hierarchically-sequential table
The following paragraphs relate to this table. as a tree structure ( CL_SALV_TREE class)
See program SALV_DEMO_TREE_SIMPLE or SALV_DEMO_HIERSEQ_SIMPLE in package SALV_OM_OBJECTS as an examples. The class documentation is also pretty good.
Alternatively you can try using function module REUSE_ALV_HIERSEQ_LIST_DISPLAY, but this is older functionality
Functionality This module outputs two internal tables as a formated
hierarchical-sequential list.
Principle:
Pass an internal table containing the set of header information to be output.
Pass an internal table containing the set of item information to be output.
Pass a structure containing the general list layout details
Pass a field catalog in the form of an internal table. The field catalog describes the fields to be output in the list.
See program BCALV_TEST_HIERSEQ_LIST in package SLIS as an example.
I work for an eCommerce company and we use Microsoft Excel for our inventory database. We currently just keep adding items to this database as we purchase them, without ever removing them. What I would like to do is start removing items as they sell. I am not sure how to attach the file, so if you e-mail me at drenollet#supplykick.com I can send it to you. Below are the following steps:
The Sales tab includes the sales data for the items. I would like to take this data and be able to copy and paste it in a sheet in our Inventory Managment file in excel (a separate file, but I included a sample in the "Database" sheet).
I then need to just use a VLOOKUP formula and the Catalog data to get the Product ID instead of the SKU. (I can do this.)
Then use the copied data in the Sales Tab that is in the Inventory Management file and move the corresponding rows out of the Database file/sheet to the Sold Items sheet.
A few thoughts on specifics:
I want to make sure all the quantities are right. (e.g.1 if we purchased two of an item and only one sold - reducing the quantity in the Database sheet from two down to one.) (e.g.2 If we purchased an item two different times at two different prices and both were purchased in one sale, I would want to make sure both of the rows are moved out of the database).
If you have any thoughts on making sure the quantities are right, let me know. Maybe we need to set all the purchase quantities to one and copy the purchase of a multiple quantity of items X number of times for each one that was purchased.
Would love your input on how to cross this bridge! Let me know if you would like to see the sample file and I can directly e-mail it to you!
Best Regards,
Don Renollet
The best way to do this is to have a sheet called Movements
then you have just rows of entries like
A B C D
----------------------------------------
prodID Movement type Qty Date
123 Purchase 5 08/01/15
789 Sale 2 07/01/15
123 Return 1 06/01/15
456 Sale 1 05/01/15
789 Purchase 10 04/01/15
456 Purchase 5 03/01/15
123 Sale 2 03/01/15
123 Return 1 02/01/15
123 Sale 1 02/01/15
123 Purchase 10 01/01/15
Then at anytime excel can calculate whats in stock using sumifs or similar
=SUMIFS(C:C,A:A,"123",B:B,"Purchase") - Sumif(C:C,A:A,"123",B:B,"Sale")) + Sumif(C:C,A:A,"123",B:B,"Return"))
You should never remove rows from a database like this, you can always do a stock take every so often and restart the database with 1 entry for each item, but aways store the old data elsewhere.
Try not to mix price with quantity if possible, if you need to manage price , consider using a moving average price (MAP)
Using Access 2010 and its version of SQL, I am trying to find a way to relate two tables in a query where I do not have strict, unique values in each table, using concatenated fields that are mostly unique, then matching each unmatched next record (measured by a date field or the record id) in each table.
My business receives checks that we do not cash ourselves, but rather forward to a client for processing. I am trying to build a query that will match the checks that we forward to the client with a static report that we receive from the client indicating when checks were cashed. I have no control over what the client reports back to us.
When we receive a check, we record the name of the payor, the date that we received the check, the client's account number, the amount of the check, and some other details in a table called "Checks". We add a matching field which comes as close as we can get to a unique identifier to match against the client reports (more on that in a minute).
Checks:
ID Name Acct Amt Our_Date Match
__ ____ ____ ____ _____ ______
1 Dave 1001 10.51 2/14/14 1001*10.51
2 Joe 1002 12.14 2/28/14 1002*12.14
3 Sam 1003 50.00 3/01/14 1003*50.00
4 Sam 1003 50.00 4/01/14 1003*50.00
5 Sam 1003 50.00 5/01/14 1003*50.00
The client does not report back to us the date that WE received the check, the check number, or anything else useful for making unique matches. They report the name, account number, amount, and the date of deposit. The client's report comes weekly. We take that weekly report and append the records to make a second table out of it.
Return:
ID Name Acct Amt Their_Date Unique1
__ ____ ____ ____ _____ ______
355 Dave 1001 10.51 3/25/14 1001*10.51
378 Joe 1002 12.14 4/04/14 1002*12.14
433 Sam 1003 50.00 3/08/14 1003*50.00
599 Sam 1003 50.00 5/11/14 1003*50.00
Instead of giving us back the date we received the check, we get back the date that they processed it. There is no way to make a rule to compare the two dates, because the deposit dates vary wildly. So the closest thing I can get for a unique identifier is a concatenated field of the account number and the amount.
I am trying to match the records on these two tables so that I know when the checks we forward get deposited. If I do a simple join using the two concatenated fields, it works most of the time, but we run into a problem with payors like Sam, above, who is making regular monthly payments of the same amount. In a simple join, if one of Sam's payments appears in the Return table, it matches to all of the records in the Checks table.
To limit that behavior and match the first Sam entry on the Return table to the first Sam entry on the Checks table, I wrote the following query:
SELECT return.*, checks.*
FROM return, checks
WHERE (( ( checks.id ) = (SELECT TOP 1 id
FROM checks
WHERE match = return.unique1
ORDER BY [our_date]) ));
This works when there is only one of Sam's records in the Return table. The problem comes when the second entry for Sam hits the Return table (Return.ID 599) as the client's weekly reports are added to the table. When that happens, the query appropriately (for my purposes) only lists that two of Sam's checks have been processed, but uses the "Top 1 ID" record to supply the row's details from the Return table:
Checks_Return_query:
Checks.ID Name Acct Amt Our_Date Their_Date Return.ID
__ ____ ____ ____ _____ ______ ________
1 Dave 1001 10.51 2/14/14 3/25/14 355
2 Joe 1002 12.14 2/28/14 4/04/14 378
3 Sam 1003 50.00 3/01/14 3/08/14 433
4 Sam 1003 50.00 4/01/14 3/08/14 433
In other words, the query repeats the Return table info for record Return.ID 433 instead of matching Return.ID 599, which is I guess what I should expect from the TOP 1 operator.
So I am trying to figure out how I can get the query to take the two concatenated fields in Checks and Return, compare them to find matching sets, then select the next unmatched record in Checks (with "next" being measured either by the ID or Our_Date) with the next unmatched record in Return (again, with "next" being measured either by the ID or Their_Date).
I spent many hours in a dark room turning the query into various joins, and back again, looking at functions like WHERE NOT IN, WHERE NOT EXISTS, FIRST() NEXT() MIN() MAX(). I am afraid I am way over my head.
I am beginning to think that I may have a structural problem, and may need to write the "matched" records in this query to another table of completed transactions, so that I can differentiate between "matched" and "unmatched" records better. But that still wouldn't help me if two of Sam's transactions are on the same weekly report I get from my client.
Are there any suggestions as to query functions I should look into for further research, or confirmation that I am barking up the wrong tree?
Thanks in advance.
I'd say that you really need another table of completed transactions, it could be temporary table.
Regarding your fears "... if two of Sam's transactions are on the same weekly report ", you can use cursor in order to write records "one-by-one" instead of set based transaction.