According to McKinsey, AI will generate up to $2.6T additional value in marketing and sales and up to $2T in supply chain management and manufacturing. Is your organization using its data to best optimize all processes? Are your analysts empowered with the best tools to enable a fully data-driven culture?
In this webinar, we illustrate how self-service analytics and AI can help marketers improve ROI. We look at how leading technologies Alteryx and DataRobot can access, prep, and model data to answer questions like:
Who are actually our customers?
What content and media do they respond to?
How much of our budget should we allocate to different media channels?
How do we optimize our spending to maximize our revenues?
We walk through Alteryx and DataRobot using example use cases in customer segmentation and marketing ROI. Alteryx and DataRobot allow organizations to create a scalable and re-usable stack on the bleeding edge of machine learning models.
With this tech stack, you are not only equipping your analysts with the best tools but also creating an analytics roadmap for your organization to tackle its business challenges with data-driven insights.
Agenda
Introductions [1:04]
The time for AI is now [4:35]
How do you build a Data Science practice? [13:20]
The Alteryx and DataRobot Analytics Stack [14:54]
Alteryx Overview [15:44]
DataRobot Overview [16:52]
Retail and CPG Overview [18:57]
Data Prep and Enrichment in Alteryx - Consumer Segmentation [20:40]
Building ML Models in DataRobot - Marketing ROI [30:42]
DataRobot Integration with Alteryx [44:51]
Takeaways [49:10]
Q&A [51:12]