Prep, Blend, and

Analyze Data




Deploy and Share Analytics

At Scale



Repeatable Workflow for Self-Service Data Analytics

Prep and Blend Data

Predictives Analytics

Spatial Analytics

Sharing Insights

Prep and Blend Data

Analysts need to prep and blend data from many sources to do their jobs.
Alteryx takes a different approach by offering data prep and data blending capabilities through an intuitive user interface that is up to 100X faster than traditional approaches. And no programming required.
Alteryx Designer: Data Blending
Access all your relevant data
Connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources
Prep and blend the right data
Create the right dataset for analysis or visualization using data quality, integration, and transformation tools
Make the most of spatial or location data
Blend and output spatial data files then easily join it with 3rd party data such as demographics
Get data ready for predictive analytics
Accelerate the processes of creating predictive analytics with specifically designed tools

Predictive Analytics

Traditional and legacy predictive analytics are based on complex, difficult to use coding platforms that are mostly inaccessible to data analysts. Alteryx makes predictive analytics accessible to every analyst by providing a repeatable workflow that delivers the self-service data analytics capabilities required for predictive analytics, along with drag and drop tools to create a model – with no programming required.

Use R-based analytics with no coding

Over 30 drag-and-drop predictive tools: all based on the R language and all customizable to your specific needs. No black box analytics!

Validate the results of predictive models

Make predictive analytics easier and faster by eliminating the traditional, static reports and use interactive visualizations to validate model results

Create custom predictive tools or import new packages

Direct R coding can be integrated into an Alteryx workflow and shared with analysts by a data scientist

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, however the growth of Big Data, mobile consumers, and marketing channels such as social media and spatial analysis are becoming a core requirement for many analysts. Alteryx makes spatial analytics scale by providing a repeatable workflow that includes location data blending and advanced spatial analytics.

Spatial Analytics screenshot

Access and use all the location data you need

Prep and blend the full range of sources needed for spatial analytics from flat files, to ESRI, to Big Data

Intuitive and advanced spatial analytic tools

Spatial tools that enable analysis through techniques such as drive time, trade area, spatial matching and point creation

Output to the mapping and visualization you need

Insight can be shared with 3rd party tools for mapping and visualization tools such as Tableau, ESRI, or MapInfo

Access prepackaged spatial and customer data

Access the Spatial packaged data option for Alteryx Designer and custom spatial data tools

Sharing Insights

Many analysts spend their day trying to get access to the right data or getting by with Excel. But once they have run their analysis, it typically takes even more time and effort to get their insight ready for business users or decision makers. Alteryx makes this process quick and easy by integrating reporting and the sharing of analytics into a a repeatable workflow for self-service data analytics.

Output results to a multitude of formats

Output to a variety of file formats such as Microsoft Excel, ESRI, XML, PDF, Tableau, and Qlik

Create and schedule pixel perfect reports

Simple creation of custom reports that can be refreshed on demand or scheduled

Fuel your Tableau and QlikView visualizations

Dramatically reduce the time to create the perfect dataset, and add advanced analytics for visualization