Organization made easy.
September 11, 2015

Organization made easy.

Darrell Haley Jr. | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

9.0

Overall Satisfaction with Alteryx

We specifically use Alteryx for data blending. Due to our multi-sourced approach, we receive multiple data sources in aggregate and find value in combining them into a database. It helps us gain intelligence on specific client-related asks in a simple, easy to use format. It really allows us to stay agile and manipulate data at a fast pace, something that is lacking in Excel alone.
  • Blend multiple sources of data
  • Append or update existing data
  • Allows for powerful insights for non-technical users
  • Improve work flow in modules, sometimes buggy when dealing with multiple files
  • On-screen wizard could help demonstrate common best practices
  • Add more tools that could benefit the user without them having to create macros
Tableau is used well with Alteryx. I usually let Alteryx do most of my data processing and export into tables for Tableau to use. It doesn't really stack against Alteryx since they have different uses, rather serve as good complements to each other. Plus there are tons of articles online that show a good portion of people use the two programs together.
Range of sources is the definitely the reason it deserves a 9 out of 10. From someone lacking a technical background, I enjoy using Alteryx in some of my project management responsibilities, and being able to load all the deliverables I am tracking is a huge differentiator from an Excel spreadsheet.
Other than being able to load my colleagues modules, I don't really use any other collaborative features in Alteryx.
It is great for dealing with mass quantities of data, not so good if you're trying to analyze. If you're dealing with 50k+ records, then it probably is considerably faster to deep-dive into the data with Alteryx. However, for anything under that, Excel is the better program for visually finding patterns and trends in data, at least for someone who has a limited tech background.

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