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I'm trying to make tool for my marketing department to produce a customer mailing list.
The marketing team would select a number of filters to determine a target group, and then thin that target group by another selection of filters.
So, for instance, using our tables below we'd like to produce a list of customers with the following inclusive filters:
Order Lines SKU = x or y
Order Lines OrderDate = last year
Orders Margin % >20%
and then reduce that list of customers by any customer who fit the following filters:
Max Orders Order Date = last two weeks
and/or
Order Lines SKU = z
Pointers gladly taken, even if it's just to point me at an appropriate resource!
TIA
@Chaucer , Can you share sample data and sample output in a table format?
Most of thing should be possible using page level or visual level filters
Relative date filter : https://docs.microsoft.com/en-us/power-bi/visuals/desktop-slicer-filter-date-range
Hi @amitchandak
I've had a go at knocking out some sample data 🙂
| Customers | |
| Customer Email | Customer GUID |
| harry.potter.com | 1 |
| hermione.granger.com | 2 |
| tom.riddle.com | 3 |
| severus.snape.com | 4 |
| ron.weasley.com | 5 |
| Orders | ||
| OrderNo | Customer GUID | Margin |
| 1 | 1 | 15% |
| 2 | 3 | 25% |
| 3 | 4 | 15% |
| 4 | 5 | 25% |
| 5 | 2 | 15% |
| 6 | 2 | 25% |
| 7 | 1 | 15% |
| Order Lines | |||
| Orderline | Order No | Order Date | SKU |
| 1 | 1 | 01/01/2020 | Cat |
| 2 | 1 | 01/01/2020 | Bird |
| 3 | 2 | 01/02/2020 | Cat |
| 4 | 2 | 01/02/2020 | Dog |
| 5 | 3 | 01/03/2020 | Goldfish |
| 6 | 4 | 01/04/2020 | Bird |
| 7 | 4 | 01/04/2020 | Dog |
| 8 | 5 | 25/04/2020 | Goldfish |
| 9 | 6 | 01/05/2020 | Cat |
| 10 | 7 | 01/06/2020 | Dog |
| 11 | 7 | 01/06/2020 | Goldfish |
| SKU Details | |
| SKU | Department |
| Cat | Mammal |
| Bird | Bird |
| Dog | Mammal |
| Goldfish | Fish |
We want filters that would, in this example, provide the emails of customers who have ordered Mammals in last year, with a Margin above 20%. Exclude any customers who Ordered in the last 3 months, or who ordered a cat.
Answer:
| tom.riddle.com |
| ron.weasley.com |
I suspect that's 100% not how one is supposed to knock up trial data!
Hi @Chaucer ,
Create a measure as below:
Measure =
var _sku=CALCULATETABLE(VALUES('SKU Details'[SKU]),FILTER(ALL('SKU Details'),'SKU Details'[Department]=SELECTEDVALUE('SKU Details'[Department])&&'SKU Details'[SKU]<>"Cat"))
var _ordernumber=CALCULATETABLE(VALUES('Order Lines'[Order No]),FILTER(ALL('Order Lines'),'Order Lines'[SKU] in _sku&&DATEDIFF('Order Lines'[Order Date],TODAY(),MONTH)>3))
var _customerguid=CALCULATETABLE(VALUES(Orders[Customer GUID]),FILTER(ALL('Orders'),'Orders'[OrderNo] in _ordernumber&&'Orders'[Margin]>0.2))
var _email=CALCULATETABLE(VALUES(Customers[Customer Email]),FILTER(ALL(Customers),'Customers'[Customer GUID] in _customerguid))
Return
IF(MAX('Customers'[Customer Email]) in _email,MAX('Customers'[Customer Email]),BLANK())
And you will see:
For the related .pbix file,pls see attached.
Hi Kelly,
That's magic, thank you.
Bear with me I'm currently getting a "Current version is out of date" error when trying to open your .pbix. despite a re-install... Any idea what version of PBI you're running? Haven't managed to do a proper investigation from online!
Cheers!
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