Alteryx can accelerate your digital journey with the right approach
September 28, 2022

Alteryx can accelerate your digital journey with the right approach

Brandon Culver | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Modules Used

  • Alteryx Analytics Gallery

Overall Satisfaction with Alteryx

Alteryx enabled users with deep business and customer knowledge the ability to quickly access data, transform it into information, and then determine long term benefit by rapidly prototyping solutions. Speed to insight is critical to lower the cost in prototypeing before full scale technology solutions can/should be built.
  • Data Blending
  • Speed to Insight and Value
  • Low barrier to entry
  • Springboard to growing your technical skill set
  • Native cloud deployment (client and server)
  • Integration with Google Cloud Platform (but improving)
  • Enterprise Management for IT support teams - User, Job, and Server monitoring, Software deployment, Server Maintenance
  • In 9 years, we can measure 10s of millions in type 1 benefit in areas ranging from Inventory Management to Customer Experience to Sales and Marketing
  • Alteryx can be both a value accelerator and a shadow IT factory in medium and large companies. The ever changing balance is determining your organizations ability and willingness for constant dialogue between value and sustainability. Organizations must develop a "SDLC for Alteryx" as well as define uses cases that are appropriate. Otherwise organizations can only accelerate 'shadow IT' and possibly fragment both IT spend/resources and increase data/support risk due to fragmentation.
  • Alteryx is described as a no code/low code framework and toolset. I recommend you approach it as a low code accelerator. Without training/knowledge of core database, scripting/coding essentials, SQL, R, Python basics, and other technology skills, your users will generate less than optimal value both short and long term. Server costs will be higher, workflows will be unoptimized, sub optimal coding practices, and data security dos and don't will all be areas your organization will eventually need to face possibly after bad habits are the norm.
As a theme in my review, Alteryx is a very powerful framework to deliver value. This question is really answered by how much you have empowered the users to suceed. There are many short term wins to enable a typical Excel power user but the long term value is providing the training, skills, and governance to grow the user from a power excel user to a citizen data engineer, analyst, and possibly scientist.

If you do not fully embrace the investment the person, your score will be below 5 in the long term.
Context: Our organization has dedicated data scientists and other advanced analtyics professionals so my context is only through proof of concept and limited prototyping.
Alteryx provided the core functionality through prebuilt tools and jupyter notebooks so your users are enabled. In one PoC, the natural language processing was easy to use, tune, and produce results without having to code. Same was true for image recognition. Where we quickly found limitations is data sizes. Since you are limited to the processing power of the local machine or your server, these tools quickly bog down on our typical datasets.
I recommend these capabilities for rapid prototyping and quick insights in your line of business so that they can then engage your dedicated data science teams for full scall development.



Previous to Alteryx aquiring Trifacta, we looked at it as a possible compliment/replacement. WIth the aquistion, we are looking to the roadmap on full integration and are very excited. Trifacta brings a cloud native solution but currently lacks many of the features/functions that current Alteryx Designer/Server provide.

Knime is also a powerful framework but many organizational specific needs were better served with maintaining our relationship with Alteryx.

Do you think Alteryx delivers good value for the price?

Yes

Are you happy with Alteryx's feature set?

Yes

Did Alteryx live up to sales and marketing promises?

Yes

Did implementation of Alteryx go as expected?

Yes

Would you buy Alteryx again?

Yes

Well Suited

  • Enable self service data to information insights in a no/low code environment
  • Enable Line of Business knowledge to flourish
  • Speed to insight for teams without dedicated analytics/technology experts
Less Appropriate
  • Medium/Large organizations without a strong ability to support user base and govern useage patterns
  • Medium/Large organization without a history of data governance/quality sucess and stabilty
  • Medium/Large organizations without strong self service mindset in both IT and Alteryx Users