Alteryx Designer allows to blend data, build powerful R-based predictive and spatial analytics applications.Alteryx Server, scale the critical analytic workflows to meet data and analytic requirements, schedule multiple workflows and publish and share analytic applications the organization. Alteryx Analytics Gallery lets to consume, share and publish analytic apps and macros .
Predicitve Analytics Software. Advanced Analytics Software
Alteryx Analytics : Alteryx Analytics portfolio includes Alteryx Designer, Alteryx Server and Alteryx Analytics Gallery. Alteryx Designer allows to blend internal, third-party, and cloud-based data, build powerful R-based predictive and spatial analytics applications without any programming and share deep data insight with business decision makers. Predictive modeling techniques, such as logical regression or decision trees, clustering techniques such as K-centroid clustering and principle component analysis, data investigation techniques, such as scatter plots and association analysis- all can be included with out any programming using Alteryx Designer. Alteryx Server, scale the critical analytic workflows to meet data and analytic requirements, schedule multiple workflows and publish and share analytic applications the organization. Alteryx Analytics Gallery lets to consume, share and publish analytic apps and macros .
Alteryx is the leader in data blending and advanced analytics software. Alteryx Analytics provides analysts with an intuitive workflow for data blending and advanced analytics that leads to deeper insights in hours, not the weeks, typical of traditional approaches. Alteryx analytics platform can deliver 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.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.