“New pulse survey just dropped: The State of Data Modeling (April 2026)” — @Joe Reis
Why this is in the vault
Joe Reis kicked off a 6-question Practical Data Community pulse survey on data modeling ownership, standards, and breakdown causes, with findings to be presented in Stockholm on May 7, 2026 and then published on Substack with the dataset open for inspection. We file the launch (not the results) so the wrap-up downstream of this batch knows to expect a results post on/after May 7 — that’s the high-signal artifact we actually want.
Note: the discovery sub-agent’s pre-triage labeled this as “April 2026 pulse survey results” but the email is the survey LAUNCH, not the results. Correcting for the wrap-up.
The core argument
One extractable data point from the prior 2026 Practical Data Community survey: nearly 90% of respondents reported at least one data modeling pain point. That figure was the trigger for this follow-up survey, which probes three deeper questions: who owns data modeling, do teams have written standards, what causes models to degrade over time.
Mapping against Ray Data Co
- Reinforces the discipline-vs-tooling thesis already documented in the MMA chapter notes (especially 2026-02-23-practical-data-modeling-mma-ch2-what-is-data-modeling and 2026-04-25-practical-data-modeling-mma-ch16-continuous-practice) — Reis is gathering empirical evidence that the modeling-pain problem is industry-wide, not a stylistic preference.
- The “ownership, standards, breakdown causes” frame is the same diagnostic axis MAC (Modeling and Analytics Council) info-product is being designed against. When the May 7 results land, they become primary evidence for MAC’s positioning claims about why teams fail at modeling.
- The 90% pain-point figure is citation-grade for any RDCO writing on data quality crisis or modeling discipline shortfalls. Already paired with the Feb 20 organizational-crisis-89pct note, which was an earlier slice of the same community-survey signal.
Related
- 2026-02-20-practical-data-modeling-organizational-crisis-89pct — earlier slice of the community-survey pain-point signal
- 2026-02-23-practical-data-modeling-mma-ch2-what-is-data-modeling
- 2026-04-25-practical-data-modeling-mma-ch16-continuous-practice
- 2026-04-30-backfill-discovery-practical-data-modeling
Source-fidelity note
Email body is a brief survey-launch CTA (~150 words). No deep-fetch performed. Quoted phrase ≤15 words: “nearly 90% of respondents reported at least one data modeling pain point” (verbatim from email). Watch for the May 7+ results post in the next PDM batch — that’s the substantive artifact.