Strategy World 2026 Day 3 Recap: Key Highlights, Sessions, and Customer Stories
Day 3 of Strategy World 2026 was dedicated to practical learning and real-world transformation. Experts hosted in-depth sessions and shared best practices for tackling today’s biggest enterprise data and AI challenges. Leaders like Lotte, Pfizer, Enova, and Hilton shared success stories, practical approaches, and roadmaps designed to support long-term enterprise data strategy.
Day 3 Highlights at a Glance
Expert-led sessions on AI-powered analytics, dashboard innovation, and AI-ready data strategy
Enterprise customer stories showcasing governed data, cloud migration, and AI agent adoption
Hands-on workshops focused on automation, AI agents, and modern BI execution
Partner sessions demonstrating how a unified semantic layer enables cross-platform intelligence

Expert-Led Sessions on Day 3: Tackling Data and AI Challenges
Day 3 began with a clear focus: How can organizations get more value from their AI initiatives through smarter BI innovation?
To answer that question, experts across AI, BI, and data intelligence hosted in-depth sessions. From optimizing dashboards with AI-powered analytics to unifying data sources through Strategy Mosaic’s Universal Semantic Layer, speakers shared high-value insights that attendees could immediately apply within their organizations.
Key sessions included:
From Meh to Marvelous: Designing Dashboards That Wow – A hands-on session showing how to transform dashboards into intuitive, visually compelling experiences users actually adopt—from color harmony to interactive navigation.
How to Build a Scalable, Measurable AI-Ready Data Strategy – Best practices for creating a scalable, ROI-focused data infrastructure that drives revenue growth and long-term business value.
Future-Proofing Analytics: Plan for Your Migration – A roadmap for balancing governance, scalability, and long-term modernization while aligning migration efforts with core business priorities.
Breaking Down Walls with Mosaic: A Beginner’s Guide to Unified Data – Practical strategies for transforming fragmented data into governed, reusable models using Strategy’s Universal Semantic Layer, helping organizations define business metrics once and reuse them across BI tools.
Design Thinking: Building Customer-Centric AI Agents – A deep dive into building, customizing, and deploying AI agents tailored to specific audiences and workflows.
Customer Standout Stories at World 2026: How Leaders are Transforming Data Strategy
Day 3 spotlighted success stories from some of the biggest names in AI and business intelligence. Enterprises across healthcare, retail, financial services, and hospitality shared how they leverage Strategy to modernize analytics and build a more sustainable data foundation.
Lotte: AI Agents Transform Data Strategy for Retail Decision-Making
Lotte Department Store shared a blueprint for revolutionizing retail decision-making with AI agents, making complex enterprise data instantly accessible to business users. Leveraging Strategy AI, Lotte streamlined 300+ dashboards, strengthened governance, and accelerated adoption across the organization.
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Pfizer: Proving AI Value with AI-Enabled Data Solutions
The global biopharmaceutical leader shared updates on its digital transformation journey, highlighting how its unified data fabric eliminates months of development time. Pfizer demonstrated how to track ROI, increase adoption, and prove AI impact at the executive level.

Enova and SMX: Secure Cloud Modernization and AI-Driven Monitoring at Scale
By embracing Strategy’s open architecture philosophy, Enova paired Strategy’s tools with Slack to deliver real-time alerts, faster root-cause investigation, and closed-loop monitoring. The FinServ leader shared a scalable framework for AI-driven business monitoring that connects detection to action.

Hilton: Amplifying Enterprise Analytics Through a Successful Cloud Migration
Hilton successfully transitioned 20,000+ users to a custom Strategy Cloud Environment (MCE) with minimal disruption. They shared a clear migration roadmap—what worked, what to avoid, and how to scale enterprise BI with confidence.
Education Workshops: Gaining Hands-On Knowledge
Strategy's educational workshops gave attendees practical frameworks to implement across their business. Led by Strategy specialists, these sessions accelerated learning and simplified complex concepts.
Task Automation Simplified: Python for Admins | From building custom scripts to creating users and applying security filters, this workshop showed how Python can automate repetitive admin tasks and streamline daily workflows. |
AI Agent Foundations: Create Your Own Business Agent | This beginner-friendly session walked attendees through building a functional AI agent capable of solving day-to-day business problems. |
Next-Level Agents: Advanced Tuning and Data Integration | This advanced workshop focused on refining agent performance, integrating unstructured data, and applying best practices for scalable, production-ready deployment. |
Smarter Storytelling: Enhancing Content Creation with Auto Dashboard | This session demonstrated how conversational AI can instantly transform raw data into polished, decision-ready visualizations. |
Partners on Stage: Amazon and HCLTech
Strategy’s technology partners took the stage to demonstrate how collaboration and mutual innovation drive faster, more impactful data solutions.
Amazon highlighted how QuickSuite’s AI-powered agents integrate seamlessly with Strategy’s Mosaic Universal Semantic Layer, allowing business users to ask questions across platforms without switching contexts.
HCLTech and Strategy presented a solution to conflicting KPIs, untrusted AI outputs, and BI tool sprawl by embedding a semantic control plane into cloud, data, and AI modernization initiatives.
These sessions reinforced Strategy’s focus on delivering more unified, governed intelligence across tools and BI environments.
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