Company Overview

About Alteryx

Alteryx Details

Founded

1997

Revenue

$351M

Funding

$728M

Team Size

2.4K

What SIA Thinks

Alteryx is a software solution designed to make data analytics accessible and efficient for everyone, regardless of their technical expertise. It’s an intuitive platform that helps organizations transform raw data into actionable insights quickly and easily. If you’ve ever found yourself spending more time gathering and cleaning data than actually analyzing it, Alteryx could be the solution you need.

One of the key strengths of Alteryx is its user-friendly interface that allows you to drag and drop tools to create workflows, without needing to write a single line of code. This means you can focus on understanding your data and deriving meaningful insights, rather than getting bogged down by the technical complexities. Whether you’re performing simple data prep or more advanced analytics, Alteryx simplifies these tasks so you can deliver results faster.

Alteryx also integrates seamlessly with popular data sources and software you might already be using, like Excel, SQL databases, Google Analytics, and Salesforce, to name a few. This compatibility ensures that you can easily pull data from various sources and bring it into a single platform for analysis.

Another benefit is its strong community and resource base. Alteryx has an active user community, comprehensive online resources, and ongoing support that make it easier to get started and continuously improve your data skills.

In essence, Alteryx provides a straightforward way to harness your data’s potential, making analytics more approachable and actionable. Whether you're a seasoned data analyst or just starting out, Alteryx helps you cut through the complexity and focus on what really matters: gaining insights that can drive decisions and improve business outcomes.

Metrics History

7/22 - 4/24

Trending up by 5.2% this month
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Pros and Cons

Pros

  • Time-saving features
  • User-friendly interface
  • Automation capabilities
  • Data visualization
  • Drag-and-drop tools

Cons

  • Limited collaboration
  • High cost
  • Resource intensive
  • Steep learning curve
  • Complex licensing

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