Is your organization successfully reaching its data strategy goals? What are some of the setbacks you’re facing along the way?
From optimizing processes to increasing revenue, executives are realizing the value of artificial intelligence. However, many businesses struggle to bring together the necessary people, processes, and technologies to execute a strategy for advanced analytics.
In this webinar, we explain the necessary business processes for rolling out an analytics initiative that will enable AI-driven insights across your organization.
We discuss:
Investments in new platforms and roles for your strategic roadmap
End-to-end, business-focused delivery strategy for the whole team
Facilitating change with the right tools and people
ROI use cases in Alteryx of end-to-end AI rollouts in the retail and financial services industries
It's time to empower your team to solve your most pressing business challenges.
Agenda
Introduction of Speakers [1:32]
Data Chaos & Analytics Obscurity [4:09]
Moving to the Next Level of Analytics Maturity [6:12]
Keyrus Overview [7:12]
Where Are Organizations in their AI-Journey? [9:45]
Examples of Big-Picture, Data-Driven Initiatives [14:18]
Process Optimization
Consumer Insights
Return on Investments
Productionalizing AI Initiatives [18:28]
Start with the End-User [22:22]
Socializing Insights [23:34]
Change Management [24:22]
Build on the Right Foundations [25:21]
Advanced Analytics Versus Normal Analytics [25:32]
Conducting Gap Analysis [27:25]
What do Data Initiatives Need to Succeed? [28:43]
Using the Right Platforms [31:42]
Alteryx, a Modern End-to-End Analytics Platform [32:11]
Data Prep and Blending [34:21]
Building an ROI Example in Alteryx [36:51]
Q&A [50:58]