Alteryx One Unifies AI-Powered Analytics for Smarter Enterprises

Alteryx, Inc., a leading AI and data analytics company, today announced Alteryx One — a unified suite of AI-powered analytics capabilities that provides customers with greater flexibility to automate and scale analytics across their data ecosystems. The release also introduces new features designed to simplify access to trusted, governed and AI-ready enterprise data.

A Unified Platform for AI-Powered Analytics

Traditional analytics solutions often force compromises between flexibility, governance and innovation. Alteryx One eliminates these barriers by unifying powerful analytics automation, low-code and no-code data preparation and blending, AI assistance, cloud flexibility, and enterprise governance into a seamless, centrally managed platform.

The introduction of a centralised portal allows customers to manage their entire Alteryx portfolio with ease, regardless of deployment model. Alteryx’s new AI Control Centre provides unified orchestration, combining licence management with built-in security, governance and visibility across all AI interactions, including large language models (LLMs). This centralised control helps to ensure consistent access and usage policies across the platform.

“This launch marks a major step forward in making analytics accessible, collaborative and intelligent,” stated Ben Canning, Chief Product Officer at Alteryx. “The future of AI-powered analytics is about choice and connection. Alteryx One empowers organisations with the flexibility to access analytics however they need, while helping ensure their data is AI-ready. This release is designed to help organisations scale insights, automate intelligently and stay ahead of AI — on their own terms.”

Karl Crowther, Vice President – MEA & APAC at Alteryx, commented: “As governments across the Middle East double down on national AI strategies and digital transformation initiatives, platforms like Alteryx One are becoming vital to turning ambition into action. The UAE’s AI Strategy 2031 and Saudi Arabia’s $100 billion AI and data investment reflect a clear regional mandate to empower people and systems with smarter, faster and more scalable tools. With Alteryx One, we’re enabling public and private organisations to align with this vision, bridging data silos and unlocking AI-powered insights across the enterprise with confidence and control.”

With new tiered packaging and a unified licensing portal, Alteryx One gives organisations centralised control over user access, permissions and licence management, enabling secure, scalable analytics across the enterprise.

Direct Access to Data Platforms

As enterprise data increasingly moves to the cloud, organisations need faster, more secure ways to work directly with their cloud data, without costly data movement or unnecessary duplication. Alteryx One delivers this by making data platforms an extension of the analytics environment, with expanded connectivity and deeper integrations, such as Pre-/Post-SQL support for In-DB tools, enabling more advanced data processing.

Additionally, real-time data access via Live Query for Databricks — the Data and AI company — and Snowflake, the AI Data Cloud company, turns Alteryx into a direct window into data platforms. Customers can now work with massive datasets in real time, accelerating data preparation while maintaining security and performance.

Alteryx One also introduces shared connectors and plans, enabling IT teams to establish secure, reusable connections to cloud data sources. To meet broader enterprise needs, Alteryx One expands connectivity with new and updated connectors for platforms such as Azure Synapse, Qlik and Starburst, along with enhancements to improve cloud pushdown processing. Together, these upgrades simplify cloud adoption for analytics teams and deliver faster access, reduced costs and stronger governance — without compromising flexibility or control.

Delivering Trusted, AI-Ready Data

Customers like Siemens Energy are using Alteryx to extract, prepare and blend data — fostering data democratisation and a digital-first mindset. This transformation includes the successful adoption of AI and LLMs, for example, to unlock valuable insights from previously hard-to-access and non-digitised data. By integrating Alteryx with a data platform and LLMs, Siemens Energy has developed an AI-powered chatbot that enables users to query extensive document repositories.

A recent Alteryx survey revealed that data integration remains a significant challenge for data analysts. Nearly half (46%) of analysts report that data quality issues are their biggest obstacle when preparing data. This challenge is amplified as more organisations move their data to the cloud, increasing demand for faster and more seamless access to cloud-based data platforms. In today’s AI-driven business landscape, these obstacles inhibit organisations’ ability to efficiently prepare data for analytics and AI applications.

As organisations strive to balance the opportunities of AI initiatives with the challenges of AI governance for widespread analytics use, Alteryx One delivers scaled access to data and AI across the business in a single, unified platform. New capabilities include a suite of powerful AI-driven features designed to streamline analytics and decision-making. Magic Reports leverages AI to automatically create customised, dynamic reports, significantly reducing manual effort and enabling faster, more insightful reporting.

Alteryx Copilot, currently in public preview, is an interactive assistant that converts user queries into actionable workflows in real time — going beyond traditional chatbots to offer intelligent guidance and tool recommendations. Meanwhile, the GenAI Tools, in private preview, integrate generative AI directly into workflows to automate complex tasks and unlock new ways to generate insights and orchestrate logic. With support for leading LLMs such as OpenAI, Anthropic and Gemini, these tools empower users to move beyond routine automation and embrace the full potential of AI.

Collectively, these innovations make it easier for organisations to scale AI initiatives, boost productivity and drive smarter business outcomes across the enterprise.