Bring multiple types of disparate data sources together to effectively answer questions.


Visualize the data throughout the entire analytics process and problem-solving journey.


Repeatable workflows that deliver the self-service data analytics required for predictive analytics

Spatial Analytics

Repeatable workflows that include location data blending and advanced spatial analytics


Analysts need to bring multiple types of disparate data sources together to effectively answer questions.

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.

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 visualisation using data quality, integration, and transformation tools.

Make the most of spatial or location data – Blend and output spatial data files then easily join them with third-party data such as demographics.


As data flows through various cleansing, prepping, blending, and modelling stages it can be difficult to quickly understand what’s going on in the data and validate the changes you made along the way.

Alteryx Visualytics enable analysts to visualise the data not just at the end of the analytics process but throughout the entire problem-solving journey.

See your data in motion – Instantly validate the health, quality, and statistical distribution of your data through powerful inline visualisations.

Quickly create interactive visuals – Show complex data in multi-layer charts plus customise fonts, colours and more across popular chart types

Bring your insights to life – Create and combine multiple interactive charts to enable your stakeholders to drill down into your analysis and focus on what’s important to them.



Traditional and legacy predictive analytics are based on complex, difficult-to-use coding platforms that are mostly inaccesible to data analysts.

Alteryx makes predicitve analytics accesible to every analyst. With repeatable workflows that deliver the self-service daya analytics capabilities required for predictive analytics, analysts can create models with drag-and-drop tools. No programming required.

Use R-based analytics with no coding – Use more than 30 drag-and-drop predictive tools, all based on the R language and all customisable 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 using interactive visualisations to validate model results.

Creat custom predictive tools or import new packages  – Direct R or Python coding can be intergrstrdinto an Altreryx workflow and shared with analysts by a data scientist.


Spatial analytics has been the domain of a few expert users. However, the explosion of Big Data, IoT, mobile consumers, and social media data are making spatial analytics a core requirement for analysts.

Alteryx makes spatial analytics scale by providing a repeatable workflow that includes location data blending and advanced spatial analytics.

Access and use all the location data you need – Prep and blend the full range of sources needed for spatial analytics from Alteryx spatial packaged data options to flat files, to ESRI, and to Big Data.

Intuitive and advanced spatial analytics tools – Spatial Tools that enable analysis through techniques such as drive time, trade area, spatial matching, and point creation.

Output to the mapping and visualisation tools you need – Insights can be shared with third-party tools for mapping and visualisation tools such as Tableau, ESRI, or MapInfo.

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