Alteryx Designer Desktop Ideas

Sometimes I need to connect to the data in my Database after doing some filtering and modeling with CTEs. To ensure that the connection runs quicker than by using the regular input tool, I would like to use the in DB tool. But is doesn't working because the in DB input tool doesn't support CTEs. CTEs are helpful for everyday life and it would be terribly tedious to replicate all my SQL logic into Alteryx additionally to what I'm already doing inside the tool. 

I found a lot of people having the same issue, it would be great if we can have that feature added to the tool. 

Currently when you add an event to notify you of workflow failure / success - you have to enter the SMTP settings every time.    It would be more efficient to set this up as a user setting which can be used for the default across all canvasses that this user creates.

With an increasing number of different projects, involving different machine learning models, it's becoming difficult to manage different package versions across workflows. Currently, the Python tool has a single virtual environment, so we need to develop models in different projects always using the same Python and package versions as the Python tool venv. While this doesn't bother the code itself too much, it becomes a problem as soon as we store and load pickled models, which are sensitive to even minor changes in packages.

This is even more so a problem when we are working on the Alteryx server, where different teams might use different packages. Currently, there is only the server admin who can install packages on the server and there can only be one version per package.

So, a more robust venv management in the Python tool would be much appreciated!

We build some pretty robust maps with multiple connections and it would be great to copy the map tool and paste it with all of the connections when we want to tweak the map slightly but keep our original map.  It is a regular occurrence for us to have a very detailed map grouping by trade area name and then may want to have an overview map with all of the same connections but slightly different layout.  Tracking down the connections, reconnecting them and naming them accordingly takes a substantial amount of time even in the most organized of workflows.  This function would be a huge time-saver.  It would also be of value with joins and unions - anywhere you have multiple streams coming in.

Here's a reason to get excited about amp!   Create a runtime setting that gets Alteryx working even faster. 

when you configure a file input you see 100 records.  Imagine the delight that after you run your workflows all input tools are automatically cached.  You run so much faster. 

now think of the absolute delight that even before you run the workflows that a configured input tool causes a background read off the input data.  Whether it is a new workflow or an opened existing flow that reading can start ahead of the time button. 

what do you think 🤔?

I believe many have voiced out this as their pain point within the Community. Essentially, there is no straightforward method to import multiple Excel files which are password protected.

I understand that there is an R solution suggested by several users, however, that is not ideal as it can be difficult to obtain permission from internal Tech team to install the package on the users' computers. 

Re-saving them without password is not only a hassle, but also raises concerns for data protection and security.

This may have been raised before, but we would like to see the equivalent of PRICE and YIELD formulas from Excel in Alteryx's Formula tool. I believe many users in the finance industry are using formulas like these frequently and it would be helpful to be able to replicate the formula in Alteryx.

Manually building the formula is possible, however it is unnecessarily complicated especially if you are working on different calendar basis e.g. 30 /360 European.

Thank you!

Hello,

My issue is very easy to solve. I want to use the generic ODBC in memo for a specific base (monetdb here but it isn't important).

I try to ouput a flow in a MonetDB SQL database. As you can see, I only take very simple field types

However I get this error message :

Error: Output Data (3): Error creating table "exemplecomparetable.toto": [MonetDB][ODBC Driver 11.44.0][MONETDB_SAU]Type (datetime) unknown in: "create  table "exemplecomparetable"."toto" ("ID" int,"Libellé" char(50),"Date d"
syntax error in: ""Prix""
CREATE  TABLE "exemplecomparetable"."toto" ("ID" int,"Libellé" char(50),"Date de Maj" datetime,"Prix" float,"PMP" float)

Reminder : SQL is an ISO Norm. Default type should follow it, not the MS SQL configuration. Interoperability is key

Links to : for in-db
https://community.alteryx.com/t5/Alteryx-Designer-Ideas/Generic-In-database-connection-please-stop-i...

Issues constated : MonetDB
https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Output-Data-date-is-now-datetime-makin...

Informix: https://community.alteryx.com/t5/Alteryx-Designer-Discussions/Alteryx-date-data-type-error-trying-to...


Best regards,

Simon

Now that we have a Snowflake Bulk Loader option, it would be great to utilize the built-in Snowflake internal staging.  This eliminates the need for an end-user to have the technical know-how or access to IT resources to utilize a separate S3 bucket and generally reduces friction in the process. 

There was pretty widespread support in the original Bulk Load thread: https://community.alteryx.com/t5/Alteryx-Designer-Ideas/Snowflake-Bulk-Loader/idi-p/105291/page/2#co...

With the growing demand for data privacy and security, synthetic data generation is becoming an increasingly popular technique for generating datasets that can be shared without compromising sensitive information especially in the healthcare industry.

While Alteryx provides a range of tools, I believe that a custom tool could help meet the specific needs of a lot of healthcare organizations and customers.

Some potential features of a custom synthetic data generation tool for Alteryx could include:

Integration with other Alteryx tools: The tool could be seamlessly integrated with other Alteryx tools to provide a comprehensive data preparation and analysis platform.

Customizable data generation: Users could set parameters and define rules for generating synthetic data that accurately represents the statistical properties of the original dataset.

Data visualization and exploration: The tool could include features for visualizing and exploring the generated data to help users understand and validate the results.

I believe that a custom synthetic data generation tool could help our organization and customers generate high-quality synthetic datasets for testing, model training, and other purposes.

Most databases treat null as "unknown" and as a result, null fails all comparisons in SQL.    For example, null does not match to null in a join, null will fail any > or < tests etc.    This is an ANSI and ISO standard behaviour.

Alteryx treats null differently - if you have 2 data sets going into a join, then a row with value null will match to a row with value null.

We've seen this creating confusion with our users who are becoming more fluent with SQL and who are using inDB tools - where the query layer treats null differently than the Alteryx layer.

Could we add a setting flag to Alteryx so that users can turn on ISO / ANSI standard processing of Null so that data works the same at all levels of the query stack?

Many thanks

Sean

It would be great to have the below functionality in Alteryx.

A workflow is built in Alteryx and button click in Alteryx can be used to generate SQL code that can be ran on a specific database platform, such as SQL Server to run external editors such as SQL Server Management Studio. Thanks. 

I find the myself often needing to create unique IDs for a given category. Currently I end up using the multi row tool and leveraging the "group by" option. Enabling the record ID tool to create a unique count by grouping on distinct categories in an underlying data set would unlock an new level of grouping that would consolidate record keeping functionality in a single tool.

Hi there,

When creating a database connection - Alteryx's default behaviour is to create an ODBC DSN-linked connection.

However DSN-linked connections do not work on a large server env - because this would require administrators to create these DSNs on every worker node and on every disaster recovery node, and update them all every time a canvas changes.

they are also not fully safe becuase part of the configuration of your canvas is held in the DSN - and so you cannot just rely on the code that's under version control.

So:

Could we add a feature to Alteryx Designer that allows a user to expand a DSN into a fully-declared conneciton string?

In other words - if the connection string is listed as 

- odbc:DSN=DSNSnowFlakeTest;UID=Username;PWD=__EncPwd1__|||NEWTESTDB.PUBLIC.MYTESTTABLE

Then offer the user the ability to expand this out by interrogating the ODBC Connection manager to instead have the fully described connection string like this:
odbc:DRIVER={SnowflakeDSIIDriver};UID=Username;pwd=__EncPwd1__;authenticator=Snowflake;WAREHOUSE=compute_wh;SERVER=xnb27844.us-east-1.snowflakecomputing.com;SCHEMA=PUBLIC;DATABASE=NewTestDB;Staging=local;Method=user

NOTE: This is exactly what users need to do manually today anyway to get to a DSN-less conneciton string - they have to craete a file DSN to figure out all the attributes (by opening it up in Notepad) and then paste these into the connection string manually.

Thanks all 

Sean

Hi there,

We often get the following error message from the download tool 

"00:00:23.555 - Error - ToolId 106: Error in libCURL: You have found a bug.  Replicate, then let us know.  We shall fix it soon."

Unfortunately this seems to be a transient error so we've not been able to replicate this in a useful & repeatable way.  However - we see this happening at least a few times per week on one of our servers, so this is a continuing issue.

Please could you provide more detailed error messaging on the download tool so that this error can be debugged and/or replicated?

Many thanks

Sean

Cross tab automatically alphabetizes the column headers this can be a little awkward when unioning on column position later on. Would be nice to have this as an optional feature through a tick box on the tool.

Hi to all,

I have seen one or two posts requesting ability to total up rows and/or columns of numbers, however this idea also requests the ability to subtotal data by a field and also produce an overall total.

This could be an extension to existing tools such as 'Summarise' and 'Cross Tab' or could be a stand alone tool.  Desired output of using a tool like this would produce something like this:

This would be incredibly useful for building reports within Alteryx as well as analysing the data, and cut down the amount of tools currently required to produce this.  I have seen a third party tool which does some of this but this adds the ability to subtotal.

thanks - Roger

The introduction fo a rank tool would be hugely beneficial. Whilst there are currently means to rank using a combination of other tools formula/running total/multirow etc... a specific "Rank Tool" would be provide a seemless and smoother way to rank your data either for further analysis or purely to output this field.

This tool should include a sort by and group by functionaility as well as options for ranking (such as dense ranking or unique ranking) and in addition multi levels of ranking (ie. Rank by "Field A" Then By "Field B" etc...).