Komprise survey finds a gap in AI data readiness
Komprise published results from a September 2026 survey of 500 technical decision-makers. While 68% said their organizations were maturing or mature in AI, 28% said they had quantified AI return on investment. Only 7% reported that at least 70% of their data was cleaned and classified for AI; 57% said half or less was ready.
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Readiness for lakehouse analysis with schema was also low: only 4% said more than 70% of their unstructured data was ready. Respondents most often cited finding the right data and cleaning low-quality or duplicate files. This is a survey from a data-storage vendor; its sample and self-reported findings should not be generalized to all enterprises.
Data
Komprise survey finds a gap in AI data readiness
Komprise published results from a September 2026 survey of 500 technical decision-makers. While 68% said their organizations were maturing or mature in AI, 28% said they had quantified AI return on investment. Only 7% reported that at least 70% of their data was cleaned and classified for AI; 57% said half or less was ready. Readiness for lakehouse analysis with schema was also low: only 4% said more than 70% of their unstructured data was ready. Respondents most often cited finding the right data and cleaning low-quality or duplicate files. This is a survey from a data-storage vendor; its sample and self-reported findings should not be generalized to all enterprises.
- · Occurred
Komprise published results from a September 2026 survey of 500 technical decision-makers. While 68% said their organizations were maturing or mature in AI, 28% said they had quantified AI return on investment. Only 7% reported that at least 70% of their data was cleaned and classified for AI; 57% said half or less was ready.
Komprise published results from a September 2026 survey of 500 technical decision-makers. While 68% said their organizations were maturing or mature in AI, 28% said they had quantified AI return on investment. Only 7% reported that at least 70% of their data was cleaned and classified for AI; 57% said half or less was ready. Readiness for lakehouse analysis with schema was also low: only 4% said more than 70% of their unstructured data was ready. Respondents most often cited finding the right data and cleaning low-quality or duplicate files. This is a survey from a data-storage vendor; its sample and self-reported findings should not be generalized to all enterprises.
Methodology
This record summarizes the named primary source and its reported measurements; no independent test or survey verification was performed.
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Reported shares among survey respondents
AI maturity, return on investment and data readiness reported by survey participants in Komprise’s survey.
- Organizations self-rating their AI maturity as maturing or mature
- 68 percent
- 2026-09 · Observed
- Respondents reporting quantified AI return on investment
- 28 percent
- 2026-09 · Observed
- Respondents reporting at least 70% of their data cleaned and classified for AI
- 7 percent
- 2026-09 · Observed
- Respondents reporting half or less of their data ready for AI
- 57 percent
- 2026-09 · Observed
Methodology
Komprise released its survey on 15 October after fielding it in September 2026 among 500 technical decision-makers. Percentages use the 500-person sample denominator stated in the release and represent respondents’ self-reports; the source gives no item-level nonresponse or weighting details. These are observed survey responses, not estimates or forecasts. The source does not state the respondents’ geographic coverage; “world” records unspecified geography and does not imply a globally representative population.
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Subjects and places
Subject proposals
- Artificial intelligenceSuggested
- Subject suggested from the title or summary: AIwww.komprise.com ↗