This episode breaks down a new field strategy for working with Databricks: collaborate when the deal is about data platform adoption, but compete when analytics budgets or executive decision layers are at stake. It also covers the 4Es for analytics and 4Cs for integration, with practical talk tracks for positioning cost, confidence, and open choice.

We unpack a leaked strategy review showing how Qlik is fighting churn, IT turnover, and Microsoft pressure at Philip Morris and Amadeus. The episode explores renewal tactics, consulting cost gaps, and how AI-powered data access is reshaping the enterprise software contest.

An exploration of how Qlik can evolve its role in an AI-driven market — from product-category language toward a clearer architectural story centered on governed action, trusted context, deterministic execution, and interoperability.

This episode examines the shift from analytics and data integration as capability labels to Qlik’s potential role between enterprise data and AI systems, with practical implications for messaging, customer storytelling, partnerships, and modern B2B marketing.

• Why AI is becoming the interface and data readiness the bottleneck
• How trust, cost control, adaptability, context, and speed shape Qlik’s right to win
• What partner ecosystems with AWS, Snowflake, ServiceNow, Starburst, and Anthropic reveal about positioning