Cloud Quests

Elevate your workflow skills by solving real-world challenges using the Alteryx Analytics Cloud Platform.

Cloud Quest #4: FIFA™ Women's World Cup Analysis


Hi Maveryx,


We are launching an updated process to submit Cloud Quest solutions!


Starting today and moving forward we will provide a JSON workflow start file for each quest. The workflow contains starting data preloaded into a Text Input tool (or tools).


Upload this JSON file into your Alteryx Analytics Cloud Library, then you can open the file and start solving the quest in Designer Cloud!


Similarly, once you are finished, you can export your JSON solution file to attach to your reply on Community.

  • Remember to attach your solution file to your reply on Community to get credit towards your Cloud Quest badge count. 
  • Please continue to upload a screenshot of your solution workflow so other Maveryx can check out your creativity!


Review the following instructions to learn how to import and export Alteryx Designer Cloud workflows.


Import the Cloud Quest Start File

  • Download the provided JSON start file and upload it into your Analytics Cloud library.
  • Open the workflow in Designer Cloud.
  • Start solving!

Get Started.png

Export Your Solution

  • Once you have completed your quest, go back to your Analytics Cloud library.
  • Download your workflow solution file.
  • Upload your JSON file as an attachment to your comment.

Upload your Solution.png


Now, with that out of the way...


Let’s dive into this week's quest!


You are a data analyst at a sports statistics firm. Your department is focused on analyzing historical data from major international sporting events, and your current project is the FIFA Women’s World Cup™.


You have been provided with a dataset named Womens World Cup dataset. This file contains detailed Women's World Cup match records, including teams, match outcomes, and dates from 2016 through 2019.


Your goal is to use Alteryx Designer Cloud to process this dataset and determine which team won the most matches in years 2016-2018. The outcome should consist of two columns: one for the team and the other for the number of wins.


Hint: Use the IF/THEN expression in the Formula tool to identify the winners. Also, ensure to exclude any matches where there was a tie.


A combination of the Sample, Filter, Summarize, and Formula tools should solve your problem, but not necessarily in this sequence.

If you find yourself struggling with any of the tasks, feel free to explore these interactive lessons in the Maveryx Academy for guidance:


Here’s to a successful quest!


AYX-Maveryx_Micro Identity-Maveryx Academy_wordmark.png

11 - Bolide
11 - Bolide
Quest 4 screenshot.png

If we're only selecting years 16-18 then the winner is not England. 


Screenshot 2024-05-04 at 7.45.56 PM.png


14 - Magnetar

Great stuff with the new importing/exporting!


Screenshot 2024-05-23 092041.png




8 - Asteroid

was going mad trying to figure out why I was getting a different team. 


Seems like some people are filtering to 2016-2018 and some aren't . Took me ages to figure out why my numbers weren't adding up. 


Perhaps the start file changed at some point? 


Quest 4 Solution.png

17 - Castor
17 - Castor

One away from another cloud badge...


I began by creating a filter for the required years, then determined the winner in a formula using the goals for home and away teams. I then summarised, counting the number of times a teams was a winner and sampled the first one according to most wins.




11 - Bolide

much better format

Screenshot 2024-05-30 154017.png

13 - Pulsar
13 - Pulsar

I am also getting a different answer than the provided solution:


8 - Asteroid

My answer is different due to the date filter, but I am not considering matches after 2018 (the answer is not).

ACE Emeritus
ACE Emeritus

Guessing my solution was different than others!


Screenshot 2024-07-03 133005.png