Observed Signal · Apr 30, 2026 · Research Report · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Neutral
Sisense Study: Product Leaders Struggle to Operationalize AI
Sisense published its 2026 State of Analytics report based on a survey of 267 product leaders, finding a widening gap between AI/analytics adoption and measurable outcomes. Respondents report major accessibility and integration barriers: 69% say analytics are not easily accessible across their organizations and 65% admitted they have made business decisions without consulting available data. While 48% of leaders trust AI insights, teams still spend roughly 40% of their time validating those outputs and 29% of AI initiatives fail to progress beyond pilot stage. Product leaders expect analytics to move into products — 43% foresee embedded analytics inside business applications and 24% predict conversational interfaces as a primary access point. Andrew Loomis, VP Customer Success at Sisense, emphasised that operationalizing insights within workflows is the key to deriving value from AI adoption.
The report highlights operational and accessibility gaps between AI/analytics ambition and real-world outcomes, signalling product and MarTech teams must invest in embedded analytics and integration to realize AI value—relevant but not industry-shifting.
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Key Takeaways & Evidence Grounding
- Sisense released the 2026 State of Analytics report.
- The study surveyed 267 product leaders.
- 69% of respondents reported analytics are not easily accessible across their organization.
- 65% of respondents admitted they have made business decisions without consulting available data.
- 48% of leaders trust AI insights but teams spend about 40% of their time validating them; 29% of AI initiatives fail to move beyond the pilot stage.
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