Alteryx Analytics Cloud Product Ideas

Hi all,

I'm working through cloud quest 1 using the Alteryx Cloud Native experience - and it seems that there's an opportunity here to get rid of the need to know historical ways of working.

The example in this case is that there are 2 dates:

- 16-Jun-01

- 25-Dec-01

Now it seems that most people used either a RegEx or a DateTimeParse (which still uses the same specifiers since Alteryx 11 - https://help.alteryx.com/current/en/designer/functions/datetime-functions.html#idp376621).   Additionally there doesn't seem to be a DateTimeParse tool in the platform yet in the CloudNative version.

However - given that we're living in the future now - it seems that it should be trivial to use a little AI to recognize that '16-Jun-01' is a date - and allow the user a right-click option to convert to a date.

Please can you consider doing a simpler method of cleaning up dates than forcing the user to remember the classic alteryx specifiers for dates since this is SUCH a common need

Using Challenge 438 as an example, the crosstab in designer cloud needs to be dynamic for the new column names to ensure parity with desktop. Unless I'm missing something, you would need to click on the crosstab and manually reset it/add new fields anytime the data changes. Desktop would automatically pick up new fields.

When people ask what's so great about designer desktop, one of the simple things I mention is the record count. I think this would be a great addition to designer cloud. As an example, here's a pointless workflow in designer cloud:

Seems ok, but here's the same thing in desktop:

By just looking at the picture, you can see that I messed up my join and my 780 records have ballooned to 608,400. I can also see that I didn't have any unjoined records pretty easily. Designer cloud has this record count information when you click on each tool, but I think they should display the counts on the canvas like desktop. 

Replace, ReplaceFirst, ReplaceChar and Regex_Replace in the cloud all have a limitation where arguments must be constants. Any attempt to use a column returns an error. This would a nice enhancement to have parity with Desktop. The below functions currently error out in cloud but work in desktop.

Replace(Column1,Column2, Column3)

Regex_Replace(Column1,Column2,Column3)

Could doesn't like that Column2 and Column3 are references to fields. It only works if you hardcode a string like "text". Desktop doesn't have this limitation.