Cloud Quest #2: Consumer Purchase Aggregation

[AYXAcademy]

Hi Maveryx,

Thanks for submitting your solutions for our first official Cloud Quest! In the video solution we posted, Alteryx Chief Evangelist, Joshua Burkhow (@joshuaburkhow) will guide you through the workflow (scroll down the page to locate the video).

Thank you, Josh, for the exceptional guidance!

For this week’s quest, you are taking on the role of a restaurant manager. You want to review customer purchase behavior to decide whether your restaurant should offer a meal deal that would add a side and drink to a pizza or burger purchase. To make this decision, you need to study recent transactions to determine the potential impact it could have.

The Point of Sale dataset includes the ticket-level information, and the two lookup tables categorize items into higher-level food types.

Your task is to determine the percentage of orders since July 1, 2013, that include the Food category (Pizza or Burger) paired with a Side AND Drink. To accomplish this, you need to determine the total number of orders placed within the specified timeframe and identify those that meet the criteria for the potential meal deal you are considering for your menu.

Hint 1: Remember to combine the dataset with the lookup tables and filter by date.

Hint 2: Remember to account for dates after June 30, 2013 to include July 1, 2013 in the output.

Your final result should look like the following image:

Spoiler

Hint: A combination of Join, Filter, Summarize, Cross Tab, Append Columns, and Summarize tools should solve your problem, not necessarily in this sequence.

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

• Getting Started with Designer Cloud
• Building Connections in Designer Cloud
• Building Your Workflow in Designer Cloud

Once you have completed this quest, capture a screenshot of your finalized workflow in Designer Cloud and attach the image of your solution to a comment on this post.

Here’s to a successful quest!

SOLUTION

We want to hear from you!

As we introduce our Cloud Quests for the first time, we value your input. Share your thoughts on the clarity of instructions, the provided dataset, the expected output, and any suggestions to enhance your experience.

Thank you!

[DavidSkaife]

Here's my solution

Spoiler

[Yoshiro_Fujimori]

The expected result is

Total Orders	Potential Meal Deal	Percentage
14450	10221	70.73

while my output is

Total Orders	Potential Meal Deal	Percentage
15497	10964	70.75

I tried on both "Standard Mode" and "Cloud Native Mode", and

I found that the expect result above was displayed on the workflow created with Cloud Native Mode,

and my output above was displayed on the workflow created with Standard Mode.

After running the workflow, the csv file was the same as my output (Total Orders 15497) on both mode.

I think I would use Standard Mode for all the time,

but according to the  description of "?" button on the Designer Cloud screen:

Cloud Native : Cloud Native Mode is optimized for Cloud Data Warehouse execution, which allows for the processing of large datasets.
Standard : Standard Mode allows for access to the full dataset at design time, similar to Designer Desktop, and is powered by the Alteryx AMP Engine.

So, should I switch to Cloud Native Mode in dealing with large datasets?

Workflow

Spoiler

The flow is the same for both Standard Mode and Cloud Native Mode.