2020-12-08T05:37:34Z
it_user434868 - PeerSpot reviewer
Senior Director of Delivery at a tech services company with 51-200 employees
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What needs improvement with Trifacta Wrangler Enterprise?

Please share with the community what you think needs improvement with Trifacta Wrangler Enterprise.

What are its weaknesses? What would you like to see changed in a future version?

1
PeerSpot user
1 Answer
DR
Chief Automation Officer at a tech services company with 51-200 employees
Reseller
Top 10
2020-12-08T05:37:34Z
Dec 8, 2020

This product really needs to improve its ease of use. The solution needs to do a better job of promoting and marketing itself. Alteryx is much better at this and as a consequence is more recognizable. Trifacta needs to showcase its technology better. It truly should encompass the A to Z execution of how you execute business process modeling in an intelligent automation form. A future release needs to be something that's easier to handle. I wouldn't say a layman should be able to use the solution as data wrangling is something that somebody has got to really be certified in. I have a friend who's worked at IBM for 30 years, and now he's just getting certified as a data scientist. However, if the solution was designed as something that really could assist a new data scientist or kids coming out of college, something that's easier for them to wrap their heads around, that would be helpful. The interface on Trifacta is way too busy. I used to do UX and it's just awful. It looks a little bit like Excel. I can't stand it. The UI of Alteryx is much, much better.

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Related Questions
it_user434868 - PeerSpot reviewer
Senior Director of Delivery at a tech services company with 51-200 employees
Dec 8, 2020
How do you or your organization use this solution? Please share with us so that your peers can learn from your experiences. Thank you!
See 1 answer
DR
Chief Automation Officer at a tech services company with 51-200 employees
Dec 8, 2020
The solution is mainly for bringing in a large amount of data. For example, let's say you have a retailer and they have various types of sales. They have stores both online and brick and mortar and they have sales happening in both places. What you're trying to do is decide all kinds of information based on the store versus online. Stores have different numbers of square feet and carry different types of merchandise depending on how they rank the store in different cities. If, for example, in Columbus, Ohio, if there are three stores, exactly the same store, they may be ranked differently based on the monetary intake that they have. Then there's the online information that they're pulling in, and data is being collected around who's ordering online and if they ordering versus going into the store, etc. All that data is pooled from the credit card information and it's cataloged. Trifacta allows you to write a code to bring that information together so that you can manipulate it at the end. Once the information is collected, a data scientist can actually begin giving VPs in their departments the information that they need on the spot to make decisions about products. They can assess the information that the AI and machine learning is putting out and they can look at it and go, "Okay, you don't even need store C, so make store B larger, combine those two stores, give them different clothing in store B and they'll start to compete better in a market". It's amazing how much detail they can get in order to help make sales more efficient.
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
Dec 8, 2020
Hi, We all know it's really hard to get good pricing and cost information. Please share what you can so you can help your peers.
See 1 answer
DR
Chief Automation Officer at a tech services company with 51-200 employees
Dec 8, 2020
I was never part of the decision-making process when it came to pricing. I'm not sure of what the exact costs were. As a partner, as a reseller, I don't know much about the Trifacta side as they were partners with them before I came on. Alteryx, for example, seems expensive to me, however, I came from RPA, which was not that expensive to implement. Once I got used to something like data wrangling it didn't seem too much for us. The number one concern for us was to become a partner. The resell seemed like the ROI was going to benefit the customer. I felt, just like with RPA, once you can show the value, (and you can show the value almost immediately because this stuff can be run overnight), the cost isn't too big.