Visual data preparation and blending
Use drag-and-drop tools to connect, clean, transform, join, aggregate, and enrich data from files and connected business systems without writing code.
Alteryx One is a unified data analytics and automation platform for analysts and business teams. It prepares data, builds governed no-code workflows, automates repeatable processes, and delivers insights to reports, dashboards, applications, and AI systems.
Alteryx One is a unified data analytics and automation platform for business analysts, operations teams, and larger data organizations. It connects data from files, business applications, and cloud platforms, then brings preparation, analysis, business rules, workflow automation, and outputs into a reusable process.
Its core purpose is to replace manual data stitching and spreadsheet-based logic with visual, governed workflows. Teams can prepare AI-ready datasets, apply calculations and quality checks, automate recurring analytical work, and deliver results to reports, dashboards, business applications, and AI or agent workflows.
The platform supports no-code workflow development and collaboration between business and IT. Depending on the edition, it offers cloud, desktop, hybrid, scheduling, monitoring, governance, and private-data capabilities. Alteryx describes its workflows as visible, understandable, repeatable, and auditable, allowing stakeholders to inspect the data and logic behind an outcome.
Use drag-and-drop tools to connect, clean, transform, join, aggregate, and enrich data from files and connected business systems without writing code.
Capture calculations, business rules, exceptions, and validations in visual workflows that can be published for reuse across teams and operational processes.
Connect to flat files and more than 100 data sources, including Snowflake, Databricks, Google BigQuery, AWS, SAP, and Salesforce; the platform also supports in-database processing.
Professional and Enterprise offerings add workflow scheduling, while Enterprise supports more advanced scheduling and monitoring such as API-triggered automation.
Centralized workflows provide visibility into the data, logic, and process used to produce an output, supporting repeatable and auditable analytics.
Prepare governed data and business logic for use with existing large language models, conversational interfaces, custom agents, BI tools, and business applications.
Finance teams can move recurring month-end close, reconciliation, fixed-asset depreciation, and transfer-pricing work from manually maintained spreadsheets into repeatable analytical workflows.
Analysts can combine operational data, apply approved business logic, and produce management reports or demand forecasts with a consistent process across reporting cycles.
Commercial and marketing teams can use workflows for market-basket analysis and dynamic price scenario modeling, helping them compare scenarios using prepared business data.
Operations teams can automate data-intensive processes that involve recurring transformations, checks, and handoffs, reducing manual processing while keeping the workflow available for review.
Data and analytics teams can prepare structured, business-contextual data and logic before sending information to enterprise LLMs, custom agents, BI tools, or applications.
It is used to prepare and blend data, build analytical workflows, automate recurring data-intensive processes, generate reports and insights, and provide governed data and logic to AI systems, agents, applications, and BI tools.
The platform provides no-code, visual workflow interfaces for data preparation and analytics. The source specifically describes drag-and-drop tools and business analysts embedding rules, calculations, exceptions, and validations in workflows.
The platform supports file sources and more than 100 data sources. Named integrations include Snowflake, Databricks, Google BigQuery, AWS, SAP, and Salesforce. Exact connectivity depends on the edition and selected configuration.
Yes. Professional and Enterprise offerings include workflow scheduling capabilities. Enterprise adds advanced scheduling and monitoring options, including API-triggered automation, while the pricing page notes some automation features are edition-dependent.
Alteryx offers Starter, Professional, and Enterprise editions. Organizations also assign user types—Viewer, Basic Creator, or Full Creator where applicable—and size automation runs according to expected use. A 30-day free trial is available, while Professional and Enterprise pricing is handled through sales.
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