New Pulse Survey Just Dropped: The State of Data Modeling (April 2026).

Key Takeaways

• 90% report at least one data‑modeling pain point.
• Survey contains six questions, ~90‑second completion time.
• Results will be presented at Stockholm keynote on May 7.
• Participants can shape future modeling standards and best practices.
• Survey open via Google Forms link.

Pulse Analysis

Data modeling remains the backbone of modern analytics, yet it is often the hidden source of bottlenecks that stall projects. When models drift, data quality erodes, and downstream reporting suffers. The Practical Data Community’s new pulse survey shines a light on these friction points, revealing that a staggering 90% of professionals encounter at least one modeling issue. By quantifying the problem, the survey creates a baseline for the industry to measure progress against and highlights the urgency for more robust governance frameworks.

The survey’s design reflects a pragmatic approach: six focused questions that can be answered in about a minute and a half. This low‑friction format encourages broad participation across data engineers, analysts, and business users, ensuring a diverse data set that captures real‑world pain. Early responses suggest recurring themes such as schema evolution, documentation gaps, and inconsistent naming conventions. When aggregated, these insights can inform best‑practice guides, tooling roadmaps, and training programs that directly address the most common failure modes.

Findings will be presented at a keynote in Stockholm on May 7, offering a platform for thought leaders to discuss actionable solutions. The timing aligns with a wave of investments in data mesh and lakehouse architectures, making the survey’s results especially relevant for organizations navigating these shifts. By contributing, participants not only help shape the conversation but also gain early visibility into emerging standards that could streamline their own modeling workflows. The community‑driven nature of the effort ensures that the recommendations will be grounded in practical experience rather than vendor hype.