Overall Satisfaction with Alteryx
Alteryx is used throughout the company. The area I directly support, supply chain analytics, it is used both "big" and "small": From the engine behind larger supply chain models that drive inventory strategy to protect service; to refining planning parameters intended to predict the future behavior of our supply chain and drive our plan; to ad hoc questions that can now be answered in a matter of minutes; Alteryx is the Swiss army knife that enables these endeavors.
- Grab and combine data from disparate sources
- Enable curiosity and the solving of complex business problems
- Flattens the learning curve for complex analytics
- sharing workflows
- Speed to insight
- Used to help model the supply chain, managing $80M in Finished Good Safety Stock Inventory
- Advancing Analytics in the supply chain - particularly in the predictive and prescriptive space
Tableau Prep and Data Guru (Coupa product) are mainly useful in the data prep and blend space. This is useful, but Alteryx provides much more robust analytics potential beyond this in the macro/app space, ML, computer vision, NLP, intelligence suite, prescriptive & predictive space.
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?
I wasn't involved with the implementation phase
Would you buy Alteryx again?
Yes
Alteryx Feature Ratings
Using Alteryx
200 - Most business functions use Alteryx: Supply Chain, Finance, Engineering, Customer Service, IT, R&D, Logistics. A lot of our analytics teams work in silos in these functions. Many of teams within these silos have folks that use Alteryx Designer (and Server). There are also affiliate groups in region that use Alteryx too.
This is more of a guess, but some support it from a relationship management standpoint (Procurement, for example), while others more directly support it from and IT perspective with instructions related to upgrading, Alteryx Server/Gallery, etc. This is just a ballpark guess for me, but it there is a informal team of folks that have stepped up to manage these things.
- Predictive Space
- Unstructured Data
- Trifacta aspects
- Modeling the supply chain
- Data Cleansing/prepping
- Procurement - Material Cost Take Out
- Many ways I'm probably not aware of
- Production Scheduling managing capacity issues
- Modeling/predicting Deliver Lead Times
- Cleaning customer service data