# Complex Scenario Analysis

Dear all,
I am trying to develop some complex scenario analysis using different selections simultaneously.
I would like to see the sales increase simultaneously if we do for instance cumulatively not one after the other:

. increase of X% for customer 1 in country A for product C only in Q4 2020.
PLUS
. increase of Y% for customer 2 in country B for all products in July 2020.

In all the examples I have seen we apply the % sales/cost/demand increase to the same group of products/countries/customers and timeframe. Real life examples are more granular and it is possible in excel.

I have followed all the online courses but I am not sure how to build this up.

Hi @Diana1,

Donāt have a āperfect fitā for you but I would look into scenario events to deal with something like that. Key is to include all the attributes/dimensions in the supporting table that youāll need to consider in your calculations.

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In addition to the video that @Melissa posted, you may find this one helpful as well. Itās an approach Iāve found very useful for breaking down complex conditionals like the ones you described above.

• Brian
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Hi @Diana1, did the response provided by @BrianJ help you solve your query? If not, how far did you get and what kind of help you need further? If yes, kindly mark as solution the answer that solved your query.

Hi @Diana1, weāve noticed that no response has been received from you since July 9th. We just want to check if you still need further help with this post? In case there wonāt be any activity on it in the next few days, weāll be tagging this post as Solved.

Dear both,
many thanks for your input, watched the videos you suggested but still not sure how to achieve this in powerBI.
increase of X% for customer 1 in country A for product C only in Q4 2020.
PLUS
. increase of Y% for customer 2 in country B for all products in July 2020.
Scenario Analysis QUESTION2.pbix (992.2 KB)

I tried to do a table with a few combinations customer/product/time/% price increase but do not know how to integrate the selections in the formula with the price increase. (in the typical model we used selectedvalue from the slicer). Maybe you are trying to explain to me that I have to do somethings with variables but I am not that advanced yet. Could you help me further please? .

Many thank again!!
Diana

Iāve read through your question multiple times and I just canāt wrap my head around exactly what youāre looking for. If you could please provide a mockup of the result(s) you are trying to achieve, that would be a big help.

Even without fully understanding the end goal here, Iām pretty certain that this model structure is problematic:

in terms of the marked relationship running in the wrong direction and the scenario selection table not being a proper fact or dimension table. I suspect that if needed at all it should be a disconnected helper table, perhaps feeding what-if parameters or disconnected slicers. Once I get a better handle on the end goal, Iām confident we can help you here.

Thanks!

• Brian

Hi Brian,
What I am after: I would like to see the impact on sales increase simultaneously, and not one after the other as different selections on the slicers, the impacts of granular actions.

I want to see what the impact on sales is at the same time if we do for instance:
. price increase of X% for customer 1 in country A for product C only in Q4 2020.
AND
. price increase of Y% for customer 2 in country B for all products in July 2020.

In all the examples I have seen we apply the % price/cost/demand increase to the same group of products/countries/customers and timeframe.

The last example model I sent was just because I understood this should be done through this sort of tableā¦ but this is the problem, not sure how to do it, probably I misunderstood somethingā¦

Many thanks againā¦ hope my questions is more clear nowā¦:).
Have a lovely WE.
Diana

Bumping this post for more visibility.

I apologize if Iām being dense here, but it would really help me work out a solution to this if you could mock up an example in Excel. That would help me understand exactly what you want, and also allow me to validate my solution against actual numbers.

Thanks!

• Brian

Hi @Diana1 ,

I have made a workout for revenue of your interesting question, with the following concept:

1. copy the base data āModelā to two scenario data sets, and flexible filter on customers, channel, product, period and country to analyse and create scenarios on those new sets.
2. add the differences from the two scenario sets, as compared to the base set, back into the base dataset for further analysis and overview.

It is an indirect solution, with the advantages that overview remains and very dynamic scenario analysis is possible. This workout might be an option for different kinds of information, as available in the base data model, like gross margin, there are a lot of combinations possible.
Scenario Analysis Question v20.pbix (1.1 MB)

Technical workout of the concept:

1. Copied the base data set to āSc1 Baseā and āSc2 Baseā with Query Editor (see Add.Info below for an alternative)
2. Added an index to all three data sets, to be used as an unique key (The key āIndexā is the lowest possible granularity, all granularity levels will be reported)
3. Copied or created new Lookup tables Dates, Product, Customer for both new data sets (6 in total), just to be able to sort values of dimensions, (by Sort by Columns e.g. MonthInCalender by MonthnYear)
4. Connected in the Data Model the lookup tables to the new two Scenario data sets, DISCONNECTED ALL OTHER automatic newly generated connections in the data model, to avoid data connections of the new data sets with the existing data model. (ambiguity/circular references)
5. Added four parameters for price and volume mutations for the two scenarios via Modelingā> Parameter
6. Renamed all the dimensions used in the slicers used in the scenarios (e.g. ā1Countryā) to show that the slicers are from different dimensions.
7. Created are three measure groups, DS Scenario 1, DS Scenario 2 and DS Base Total. The measures in DS Scenario 1 and 2 are: Base revenue, Scenario Revenue (see Add Info) and the difference.
8. Revenue differences, based upon the scenarios, are reported together with the base model in two steps:
8-1. a Treatas filter measure āSc1 Varianceā, filtering the scenario selection (see below1)
8-2. a Slicer Synchronization for each slicer used (14 in total) at the two Scenario pages with each reporting page (see below2). Without the Slicer synchronization, the Revenue difference for the Scenarios is not taken (it then follows the granularity of the reporting page)

8-1 Treatas Measure of Scenario 1

``````Sc1 variance = // SLICER SYNCHRONIZATION REQUIRED FROM SCENARIO 1 PAGE, TO REPORTING PAGES USING THIS MEASURE
Var Sc1ScenTDiffRevenue = CALCULATE( [Sc1 Diff Rev],
TREATAS(VALUES('Model'[Index]), 'Sc1 Base'[Index]))
return
CALCULATE( Sc1ScenTDiffRevenue,
FILTER( 'Sc1 Base', 'Sc1 Base'[Index]))
``````

8-2 Slicer Synchronization

Each slicer, used in the two Scenario pages (14 in total), needs to be synchronized with the base reporting pages, to let the Treatas filter measure as stated above, work, see above for one slicer setting (View ā Sync Slicers);
Ticking both boxes makes the slicers Synchronized AND Visible :

====================================================================

• The copying of the base data set can also be done by creating a calculating table, which might be preferable if the base data set only contains a few columns, is not too big and frequently changes.
``````Sc1 Base =
SUMMARIZE( 'Model',
'Model'[Index], Dates[MonthInCalendar], 'Model'[Customer Name],'Model'[Country], 'Product'[Product Name], 'Model'[Channel]),
"Base1Price", [Base avg unit price], "Base1Volume", [Base volume])
``````

(Issue might be that sorting like periods, products etc. is not (easy) possible, as lookup table sorting with calculated tables is not straight forward, it gives e.g. april 2018, april 2019)

• The scenario revenue is calculated, after the standard filtering on dimensions period, customer, products, country and channel, as follows:
``````Sc1 Scen Revenue =
//SLICER VALUES SCENARIO 1
Var Price1Ch = SELECTEDVALUE( 'Sc1 PriceChange'[Sc1 Price1Change],0)  // pricechange scenario 1, default = 0
Var Volume1Ch = SELECTEDVALUE('Sc1 VolumeChange'[Sc1 Volume1Change], 0)  //volumechange scenario 1, default 0
var S1Revenue = SUMX( 'Sc1 Base', ( 'Sc1 Base'[Volume] * (1 + Volume1Ch )) * ('Sc1 Base'[Unit Price \$] * (1 + Price1Ch )))
Return S1Revenue
``````
• Practice tip creating new slicers, copying from existing slicers: make sure before copying or changing, that the Synchronized Tick box is UNTICKED, to avoid strange slicer reactions from the synchronized (invisible) slicer(s) on the new page or on another reporting page(s).

Kind regards, JW

Scenario 1

Base model + scenario 1 and 2 revenue example

Base graph scenarios

4 Likes

WOW!!! This isnāt even a forum solution - more like a whole separate Data Challenge and writeup.

Incredible support.

• Brian
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Hi @Diana1, did the response provided by the users and experts help you solve your query? If not, how far did you get and what kind of help you need further? If yes, kindly mark as solution the answer that solved your query. Thanks!

Hi @Diana1, weāve noticed that no response has been received from you since July 17th. We just want to check if you still need further help with this post? In case there wonāt be any activity on it in the next few days, weāll be tagging this post as Solved.

Dear both,
Apologies for my late reply, have been very busy. Please give me some time to review the answer and try to replicate it on my model. I am not that advanced ;). I will come back to you.
Have a lovely WE and thanks for what I see looks like a sophisticated answer with the solution :).
Many thanks,