For many analysts in business groups such as marketing, sales, finance, or customer insight, the process to prep, blend and analyse data is slow and painful. It requires different tools and people to gather, cleanse and join data from different sources, more tools to build and publish analytic models, and even more to get it into the hands of business decision makers.
Alteryx Designer solves this by delivering a repeatable workflow for self-service data analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches! Alteryx Designer empowers data analysts by combining data preparation, data blending, and analytics – predictive, statistical and spatial – using the same intuitive user interface.
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.
Connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources
Create the right dataset for analysis or visualization using data quality, integration, and transformation tools
Blend and output spatial data files then easily join it with 3rd party data such as demographics
Accelerate the processes of creating predictive analytics with specifically designed tools
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.
Over 30 drag-and-drop predictive tools: all based on the R language and all customizable to your specific needs. No black box analytics!
Make predictive analytics easier and faster by eliminating the traditional, static reports and use interactive visualizations to validate model results
Direct R coding can be integrated into an Alteryx workflow and shared with analysts by a data scientist
Spatial analytics has been the preserve of a small number of expert users who could not scale to the needs of their organization.
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.
Prep and blend the full range of sources needed for spatial analytics from flat files, to ESRI, to Big Data
Spatial tools that enable analysis through techniques such as drive time, trade area, spatial matching and point creation
Insight can be shared with 3rd party tools for mapping and visualization tools such as Tableau, ESRI, or MapInfo
Access the Spatial packaged data option for Alteryx Designer and custom spatial data tools
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 to a variety of file formats such as Microsoft Excel, ESRI, XML, PDF, Tableau, and Qlik
Simple creation of custom reports that can be refreshed on demand or scheduled
Dramatically reduce the time to create the perfect dataset, and add advanced analytics for visualization