topic Re: Pareto Analysis in App Development

Pareto Analysis

Anonymous — Wed, 14 Jun 2017 08:27:34 GMT

I want to be able to show a Pareto-style analysis of our customers, but at a high-level rather than having to show every customer as we would have to using Henric's solution here: Recipe for a Pareto Analysis – Revisited

I would simply like a metric showing what % of our revenue comes from the Top X% of our customers (say 20%, for example). The only solution I can think of is to rank each customer in the data load, however we want this metric to respond to user selections so don't want to pre-calculate anything.

Any suggestions?

Alan

Re: Pareto Analysis

vikasmahajan — Wed, 14 Jun 2017 09:16:20 GMT

you can use input box to take % from user store it into variable and use this variable in Top x%

Vikas

Re: Pareto Analysis

sunny_talwar — Wed, 14 Jun 2017 11:18:34 GMT

Would you be able to share some data with the output you are expecting out of it? Also, I hope you are working with QV12.1 or above?

Re: Pareto Analysis

Anonymous — Wed, 14 Jun 2017 12:14:52 GMT

This is a (very) simplified version of the dataset:

Store	Customer ID	Order ID	Revenue
London	1	ABC1	£190
London	2	ABC2	£87
London	3	ABC3	£163
London	1	ABC4	£93
London	2	ABC5	£91
London	1	ABC6	£58
London	3	ABC7	£99
London	4	ABC8	£218
London	5	ABC9	£195
London	6	ABC10	£176
London	4	ABC11	£76
London	7	ABC12	£204
London	8	ABC13	£56
London	9	ABC14	£64
New York	10	ABC15	£173
New York	10	ABC16	£117
New York	8	ABC17	£90
New York	10	ABC18	£176
New York	8	ABC19	£58
New York	9	ABC20	£132
New York	10	ABC21	£87
New York	8	ABC22	£140
New York	9	ABC23	£193
New York	10	ABC24	£157

The steps to go through are basically rank the customers in order of their total revenue, then calculate the contribution each on makes to the overall revenue:

Customer ID	Total Revenue	% Contribution	Cumulative Contribution
10	£710	23.0%	23.0%
9	£389	12.6%	35.5%
8	£344	11.1%	46.7%
1	£341	11.0%	57.7%
4	£294	9.5%	67.2%
3	£262	8.5%	75.7%
7	£204	6.6%	82.3%
5	£195	6.3%	88.6%
2	£178	5.8%	94.3%
6	£176	5.7%	100.0%
Grand Total	£3,093

From there, I can now say the top 20% of customers (in this case just customers 9 and 10) contribute 35.5% of our revenue.

But, I also want this to react to user selections, so if we filter to just London orders, the data would look like this:

Customer ID	Total Revenue	% Contribution	Cumulative Contribution
1	£341	19.3%	19.3%
4	£294	16.6%	35.9%
3	£262	14.8%	50.7%
7	£204	11.5%	62.2%
5	£195	11.0%	73.2%
2	£178	10.1%	83.3%
6	£176	9.9%	93.2%
9	£64	3.6%	96.8%
8	£56	3.2%	100.0%
Grand Total	£1,770

And, as we have over 300,000 customers, I don't want to show as a table/chart with a record for individual customers, but just a high level metric to say the top 20% of customers are worth Y% of total revenue.

Hope that helps!

Alan

Re: Pareto Analysis

sunny_talwar — Wed, 14 Jun 2017 15:50:30 GMT

This is a lot simpler then I imagined... Try this

='Top 20% of the Customers are worth ' & Num(Sum({<[Customer ID] = {"=Rank(Sum(Revenue)) < (Count(TOTAL DISTINCT [Customer ID])*0.20) + 1"}>}Revenue)/Sum(Revenue), '##.0%') & ' of total revenue'

Re: Pareto Analysis

Anonymous — Mon, 19 Jun 2017 09:32:00 GMT

Works perfectly, thanks Sunny!

Re: Pareto Analysis

gys1992infosys — Fri, 12 Jan 2018 09:50:16 GMT

Hi both,

How to realize below Pareto analysis?

Thanks,

Customer ID	Total Revenue	% Contribution	Cumulative Contribution
10	£710	23.0%	23.0%
9	£389	12.6%	35.5%
8	£344	11.1%	46.7%
1	£341	11.0%	57.7%
4	£294	9.5%	67.2%
3	£262	8.5%	75.7%
7	£204	6.6%	82.3%
5	£195	6.3%	88.6%
2	£178	5.8%	94.3%
6	£176	5.7%	100.0%
Grand Total	£3,093

Re: Pareto Analysis

sunny_talwar — Fri, 12 Jan 2018 11:41:10 GMT

Check this

Recipe for a Pareto Analysis – Revisited‌

Recipe for a Pareto Analysis

Re: Pareto Analysis

ArchanaB — Wed, 17 Jun 2020 09:29:14 GMT

Hi sunny ,

I tried to apply same expression in my Qlik sense app but it does not work for me. I have similar requirement, Only that I have to apply same pareto analysis on Parent_supplier_ID and need to count supplier whose contribution on total sales is 80%.

I am currently using below expression for this calculation , which I created based on the Pareto analysis - revisited article. My below expression fails to include the parent_supplier_ID when the filter changes.

count(distinct aggr(if(RangeSum(Above(SUM({<Period=,Date={">=01/01/2019<=30/06/2019"}>}SPEND_ACTUAL), 0, RowNo()))/sum( {<Period=,Date={">=01/01/2019<=30/06/2019"}>} TOTAL SPEND_ACTUAL)<=0.80,PARENT_SUPPLIER_ID),
(PARENT_SUPPLIER_ID,(=SUM({<Period=,Date={">=01/01/2019<=30/06/2019"}>}SPEND_ACTUAL),Desc))))

This expression fails when I select period in Period Filter. It only calculates the aggregated spend % for that selected Period while as per the expression , it should avoid the period filter and only filter on date .

Please suggest the fix for this issue or if there any other way to perform the same analysis without aggr() function it self.

thank you in advance.