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Glad to be part of this community. I am a new user, who has experience of DBMS, little bit R coding, Very little JAVA coding and basic Tableau user knowledge. Extensive knowledge in supply chain and operations. Here in our firm, we have purchased Alteryx designer license. I want to use inbuilt R models in Alteryx to create forecast.
Industry: Retail. Number of SKUs: 10,000 or more. sales data: last 18 months both weekly and monthly basis.
Requirement: Effectively use R models inside Alteryx to create forecast for next 1 month/3 month for all the SKUs. We will create separate categories of SKUs. Cat 1: SKUs with low sales.
Cat 2: SKUs with high sales. Cat 3: SKUs with erratic sales. Cat 4: SKUs which are only seasonal: Example: summer products/winter/outdoor usage products. Cat 5: SKUs which sold in low volume, example: Big sofa set or big furniture.
I am completely new to Alteryx. Let me know, how and where shall I start?
Redirect me to tutorials and demo video/case studies to learn how to use R in Alteryx.
in addition to what @afv2688 suggested, I'd recommend you to also have a look at the built-in sample workflows. Alteryx Designer > Help > Predictive tool Samples >Predictive Analytics > Time Series Forecasting Sample will open a workflow with a step by step description of the process (expand the container on the bottom part of the screen, see picture below).