Enterprise leaders are united around a clear goal: embrace generative AI, eliminate insight bottlenecks, and empower teams with intelligence at every level. But while belief in data-driven transformation is strong, many organizations are stalled by complexity, fragmentation, and limited access to real-time insights. Our latest research reveals why so many data platform investments underperform—and what a modern data intelligence approach must do to break the cycle of analysis paralysis.

To unlock true AI-powered progress, organizations must rethink their data architecture and user experience. That means moving beyond legacy warehouses and brittle ETL pipelines, and toward platforms designed for openness, automation, and inclusive access. The essential pillars for this new approach—governance, AI augmentation, zero-ETL ingestion, and intelligent infrastructure—are each engineered to close the gap between data and decisions.

In our latest market brief, From Data Paralysis to AI-Powered Progress, completed in partnership with Databricks, Futurum Research explores the challenges holding enterprises back and explains how a modern data intelligence platform can simplify complexity, embed AI throughout the workflow, and help every user—from IT to business analysts—drive faster, smarter outcomes.

In this brief, you will learn:

• Why decision latency, shadow IT, and skills gaps undermine AI success
• How AI-augmented platforms empower non-technical users with natural language tools
• What “zero-ETL” data ingestion means—and why it’s essential for live insights
• How Databricks is reshaping analytics and BI with governance, automation, and embedded intelligence

If you’re ready to move from reactive reporting to AI-fueled business acceleration, download your copy of From Data Paralysis to AI-Powered Progress today.

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