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Alteryx is purpose-built to empower data analysts to blend data, build analytics, and share insight in a matter of hours.

*Price is in USD and based on a 3 year subscription (per user per year)

Data analysts love Alteryx for its ability to quickly blend complex data and create intuitive workflows in a much easier way than using tools like SAS. The Designer allows users to consume analytic apps in either a private cloud or the Alteryx Analytics Gallery.

Alteryx Designer

Intuitive Workflow for Data Blending and Advanced Analytics



For many analysts in business groups such as marketing, sales, finance, or customer insight, the process of blending the right data set and creating analytics is a slow and painful process. It requires different tools and people to gather and integrate data from different sources. It requires more tools to build and publish analytic models, and even more to get it into the hands of decision makers. Alteryx Designer solves this by delivering an intuitive workflow for data blending and advanced analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches. Analysts love Alteryx Designer because they can create deeper insights by seamlessly blending internal, third party, and cloud data, and then analyze it using spatial and predictive drag-and-drop tools. This is all done in a single workflow, with no programming required, and no need to wait for other people!


The Alteryx Designer delivers:

  • A single workflow for data blending, analytics and reporting
  • Seamless blending of internal, third party and cloud-based data
  • A drag and drop visual workflow – no programming required
  • Simple creation of reports, data for visualization or analytics apps
  • 60+ built-in tools for spatial analytics and R-based predictive analytics
  • User productivity in hours not days
Data Blending

Alteryx Designer: Data Blending for Business Analysts



Analysts need to access and blend data from many sources to do their jobs. However, traditional approaches to do these critical tasks leave them reliant on tedious and laborious use of Excel and SQL to get what they need or rely on others to help them when time allows.

Alteryx takes a different approach by offering powerful data blending capabilities in an intuitive workflow that also includes advanced analytics. With Alteryx, analysts can access the full range of data sources needed for analytics from Excel to data warehouses, cloud apps and Big Data sources and then prepare and blend all their relevant data for analysis or visualization. No reliance on multiple, difficult-to-use tools, or specialists required.


The Alteryx Designer includes:

  • Industry leading access to enterprise data sources
  • Analyst-ready custom connection tools to critical sources of insight such as MongoDB, Hadoop, and
  • Data quality and data cleansing tools to prepare data for analysis
  • Spatial data tools to optimize internal data for analysis and blending with 3rd party data
  • Data preparation tools specifically designed to support predictive analytics
  • Data processing technology that is dramatically faster and more efficient than legacy solutions such as SAS
  • Access to packaged spatial and consumer data with the appropriate product editions
  • A drag and drop visual workflow – no programming required
Spatial Analytics

Alteryx Designer: Intuitive Spatial Analytics



Spatial analytics has been the preserve of a small number of expert users who could not scale to the needs of their organization. It took too long to prepare data for spatial analysis and then required highly specific tools to include any type of deep spatial insight. However, with the growth of Big Data, mobile consumers, and marketing channels such as social media, spatial analysis is becoming a core requirement for many analysts.

Alteryx makes spatial analytics scale by providing an intuitive workflow that includes data blending and advanced spatial analytics. Analysts can rapidly prepare spatial data (with capabilities such as geocoding, cleansing, and blending) and then deliver critical spatial insight such as trade areas, drives times, and mapping. Additionally, deeper insight can be added through the predictive analytics in the context of spatial data, all within the same workflow.

This insight can be shared with third party tools such as Tableau, ESRI or MapInfo for map or map layer specific visualization.


The Alteryx Designer includes:

  • Industry leading access to spatial data sources
  • Custom connection tools to sources such as Map Inputs, ESRI files, MapInfo files or spatial databases
  • Spatial tools that enable analysis using techniques such as drive time, trade area, spatial matching and point creation
  • Data processing technology for spatial analysis that is dramatically faster and more efficient than legacy solutions such as SAS
  • The ability to use the separately licensed packaged spatial and consumer data options
  • A drag and drop visual workflow – no programming required


Predictive Analytics

Approachable Predictive Analytics



Traditional and legacy predictive analytics are based on complex, difficult to use approaches that are mostly inaccessible to data analysts. Tools like those from SAS Institute are too slow, too complex, and too costly for every analysts to use. Alteryx makes predictive analytics accessible to every analyst by providing an intuitive workflow that delivers the data blending and data preparation capabilities required for predictive analytics, along with drag and drop tools to create a model with no programming required.


The Alteryx Designer includes:

  • Over 30 drag and drop predictive tools: all based on the R language
  • A zero black box analytics policy: every tool and model can be viewed and modified
  • Data preparation, sampling, and grouping tools for predictive analytics
  • R-based analytics with the ability to delivery enterprise scale R through the integration of Revolution Analytics capabilities
  • Support for in-database, in-Hadoop, or server-based predictive processing
  • Data processing technology that is dramatically faster and more efficient than legacy tools such as SAS
  • A drag and drop visual workflow: no programming required


Predictive analytics deliver rapid business value across industries

Predictive analytics can be used across a wide range of industries, and in a variety of use cases, to help steer more informed decisions and deliver rapid business value. Some of the most common uses relate to customer analytics and insight, such as understanding which products customers are most likely to purchase in combination, identifying the right audience or segment to target with a marketing campaign, determining in advance whether or not a prospect or customer is likely to commit fraud, or reducing the amount of churn within your customer base.


The Alteryx Analytics platform delivers:

  • Accessible predictive analysis for business analysts and decision makers through prepackaged predictive tools that eliminate the need for statistical programming or complex coding.
  • Flexible predictive tools for users familiar with the R programming language, by accessing underlying R based scripts or incorporating their own R algorithms into the platform.
  • Scalable predictive models for handling large amounts of data through integration with Revolution R Enterprise.


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