I'm currently looking at daily sales data of a specific brand over the course of the past year. My objective is to create a formula to roughly estimate the sales growth for future months.
My project isn't going very well, as the brand is very volatile in monthly sales, making it impossible to predict with a basic linear formula. I'm arriving at the conclusion that a single year's worth of sales isn't enough data, and I may have to result to provide a specific formula depending on the month. Is there anything I haven't thought of?
Note: Recording of sales start on the 15th of every month
Your sales are showing seasonality. Consider using sasonal ARIMA models.
Related
Salesperson
JANUARY
FEBRUARY
SALES TYPE 1
'=January Ave
'=February Ave
SALES TYPE 2
'=January Ave
'=February Ave
I need help figuring out what formulas/nested functions I would use in the January and February average columns in the above table. The Excel document I'm working with has a tab for each sales person. In these tabs include the above table-like scorecard element.
I'm using the old "Sharing" feature of Excel which has a lot of limitations, you can't have tables in the document for example (experts, correct me if I am wrong about this) this is why I'm hoping to use a formula to get, calculate and input the data where it needs to go.
There is another tab where all the data is stored in a table-like structure. It has columns for the date of the sale, the ID of the sales person and how many sales were made on that day.
I'm also worried that too complicated of a formula being done 24 times in each sheet and there being a total of 50 sheets in the document, would this cause the document to lag? I'm reading on index match vs xlookup, I hear sumifs is easy but the file doesn't work as fast with that?
What formulas would you use? Any advice how to make sure the document runs smoothly when users use it? Any advice here is welcome. Thanks in advance for you patience.
I am trying to create forecast for next 6 month sales. I am using visual analytics for my forecast.
It is showing me the forecast for Next 6 months.
I don't have employees that are consistent in the data. Like, I am having 28 agents/ employees working in January month and 5 employees working in June month. Here, the employees are not constant in the data. therefore, the above approached method is not the best way for forecast for future months.
How can I make forecast for next n months using measures or columns in Power BI for these types of Inconsistent Hiring and Firing of employees ?
I am stuck and have been watching videos and googling a lot today.
My problem is that i need to calculate the tax to deduct as well as deduct the wholesale cost of the product on an excel spread sheet.
There are 3 regions east, west and central all with different tax amounts.
East is an $0.15 tax with a $50$ price deduction
Central is an $0.18 tax with a $40 price deduction
West is an $0.18 tax with a $30 price deduction
Revenue before tax - E2
Region - B2
enter image description here
I have tried =IF(B2="east",G2*0.15, '')IF(b2="central",G2*0.18,'')
I am unsure what to put in the if false slot or if I'm even on the right track.
Thanks for your time!
When facing a problem like yours it's good to remember the basic rule of Excel, "Never put data into a formula". Data belong in a worksheet. Formulas merely manipulate them. Accordingly, you need a table like this one.
Now the solution is easy - or it would be if your description was unambiguous. I presumed that what you call "price reduction" is in fact a tax free portion of the sale. So, if the value of the sale is $200 tax will be paid on an amount smaller than this. Of course, this leads to the possibility of a negative tax which is unlikely to be on offer. Therefore the formula to be employed is [Tax base] = [Sale Amount] - [Tax excempted amount], but not less than zero.
Based on the above presumption the formula below will do the job if you named the table pictured above as "Taxes". If you didn't name it, the default name might be Table1 and you can change that name in the formula.
=G2+MAX(ROUND((G2-VLOOKUP(B2,Taxes,3,FALSE))*VLOOKUP(B2,Taxes,2,FALSE),2),0)
I point out that the formula also rounds the result. This is important in a sheet like yours because you can't afford the total in column H to be different from what you see, and all you see is 2 digits.
Whenever the taxes change you simply change the table and leave the formulas in place. That part is easy. But there is one thing to remember. All the formulas of the past also refer to the table and all your old sales amounts will get "updated". So, when rates change, first Copy/PasteSpecial>Values all existing, or create a new table called Taxes2020 and start using a new formula referring to that table from the cut-off date forward.
If the price deduction if from the total for the region you should calculate it in two stages, the sum for the region, and then the net after tax.
If the deduction is per transaction I would suggest adding a lookup table and add another column to your list which will allow you to calculate all regions with the same formula.
=IF(B2="East",(G2*1.15)-50, IF(b2="Central",(G2*1.18)-40,(G2*1.18)-30))
I've spent a a lot of time trying to find a solution to the following issue but I haven't been able. There are similar threads to this issue both here and on other forums but they don't seem to be applicable. Please let me know any best demonstrated practices regarding posting on this forum that I may be going against.
I would like to be able to dynamically (and hopefully in as simple way as possible) create measures (ideally NOT via calculated columns) in power pivot to be able to carry out percentile analysis (e.g., value associated with top quartile, top quintile, third decile, etc etc) on different subsets of my data (in a pivot table). For example, I might want to create the percentile based on the yearly sales associated with a shop (although the records I have are based on monthly, or another time period).
Here is what this data could look like as an example, as well as what the results would be on this data (I did this jammily using excel). I know that there is a way to do this using calculated columns but I want to try and do it using measures (e.g., maybe using a combination of sumx, percentiles, top n??).
In case you're not able to view the picture of my data, my data is structured as such:
===============================================================================================
**Shop ID** ## **Value** ## **Metric**## **Period** (e.g., mm / yy) ## **Franchised or Co Owned** ## **Year** ## **Quarter**
===============================================================================================
1 50 etc etc please see screenshot! thank you
2 70
3 90
Additional explanation on data
Shop ID could have many entries
Value is the value for each metric - the record is based around having a value for each metric for each shop id for each month (or other time period)
Metric could be things like sales, ebitda, car count, etc etc
Period is typically month
Shop status could be "Co - Owned" or "Franchised"
Year and Quarter are based off the period
I want to be able to get percentile values for sales in a given period (e.g., total yearly sales for a given year, total quarterly sales etc) for whatever slicer i have going on for the current pivot table.
Super grateful for any help!
Thanks,
Louis
OK, I think I found an answer. Something like this formula might work:
PERCENTILEX.INC(ALLSELECTED(Facts[ID]),SUMX(ALLSELECTED(Facts[Period]),[Sum Values]),[Percentile Definition])
Based on football data I am looking to create a league table which will give rankings of all the teams, the only difference is, each game week, teams will earn points based on the current ranking of the team they are playing.
So week by week, the excel document (with data added) will need to work out league position, work out who plays who, and then allocate points based on the result and the teams ranking of that week(which would be accumulated up to that week)
Ie, if Arsenal - Ranked 1st played Stoke Ranked 18 - and stoke won - Then the score stoke would receive for that week would be completely based on how high Arsenal was in the league..
This is a broad question, but I'll take a crack at answering it.
If you have a worksheet with ranking by week, say with team in col A then rank in each column thereafter, you could then refer to this with a relative cell reference. If you need the ranking to be calculated, that could be done on the weekly ranking sheet. A formula on a worksheet for points calculated might end up being something like:
='points'!b2/'weeklyrank'!b2
This would divide points by a team's rank in the prior week, thus awarding more points for higher ranked teams, assuming that is the objective. There are all kinds of ways to tweak this. Hopefully this gets you started.
If you have a question about how to calculate the rankings, I would post it as another question, but with more detail.