This poster demonstrates and illustrates how the tools available in JMP allow you to easily create shareable analytics tools so you can standardize analytics across your teams.
The no-code and low-code features in JMP provide a comprehensive toolkit for automating your data analytics efforts. The trouble is that these excellent analyses can have limited impact since they can often remain with individual users rather than being shared across the enterprise with everyone who needs to use them.
Part of this disconnect comes from a perception that it might be challenging – or require extensive JSL skills – to create these types of mass customizations. This poster shows how easily you can build your workflows and dashboards with drag-and-drop tools in JMP. You can then turn them into sharable add-ins with a minimum amount of JSL coding, allowing you to get the maximum value from your analytics efforts.