It has repositioned its offering by introducing Analytics Process Automation (APA) technology to provide building blocks for automating the analytics process and integrating with applications and robotic process automation (RPA). The platform includes Alteryx Designer, Alteryx Intelligence Suite, Alteryx Server, Alteryx Connect and Alteryx Promote. Alteryx Analytics Hub provides an environment for workflow automation and scheduling, collaboration, multitenancy and data connection management.
Alteryx’s operations are geographically diversified, and this vendor has clients in most domains and industries. Top verticals include manufacturing, financial services, consumer packaged goods, retail, healthcare and government.
Alteryx’s broad revamping is a work in progress. The newly introduced Alteryx Analytics Hub provides a centralized approach to orchestrating workflow and collaboration when managing analytics and data connection environments.
Strengths
• Ease of use for diverse personas: A collaborative user experience leveraging code-free and expert modes contributes to ease of use by all personas. Alteryx also provides line-of-business (LOB) and industry solution templates and jump-start kits to accelerate onboarding and use.
• Go-to-market strategy: With APA, Alteryx emphasizes the creation of analytic content and progression from insight to action. Strong channel and independent software vendor partnerships and a verticalized go-to-market strategy, including Alteryx-developed and joint partner-developed solutions, create momentum and increase visibility.
• Customer experience and operational support: Alteryx has consistently delivered excellent functionality and support, judging by feedback from customers. Customers generally respond very positively when asked about their overall experience with Alteryx.
Cautions
• Changing product portfolio: With the introduction of APA, Alteryx is making many changes to its portfolio. Customers should seek clarification and verify that the evolving APA framework is a good fit for their DSML strategy and users.
• Perceived high cost: Pricing is commonly identified as a concern by Alteryx customers. They report good value for money, but often also evaluate less costly alternatives as their data science initiatives develop.
• Innovation: Although Alteryx has delivered some good innovation with RPA integration, augmentation and a multipersona approach, other vendors are leading the way in terms of cutting-edge ML and key areas such as streaming, the Internet of Things (IoT) and XAI.
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