Swarnadeep Mondol

📈 Hotels face data issues due to inconsistent systems; PMS, RMS, and Finance often report different figures for the same data. This leads to trust issues, especially in Revenue Management and MICE operations. AI can't function effectively without clean, aligned data. Clean data isn't a one-time project but a continual discipline. In 2026, ROI focuses on trusting existing systems, emphasizing clean PMS data, structured MICE data, and consistent revenue data for better forecasting and decision-making.

📈 In 2025, over 21,000 hotel properties in 310 cities reported spending two full workdays weekly on reports. A benchmark study found 49% of hoteliers struggle with data access, while 40% cite disconnected systems as primary obstacles. AI can streamline operations, with hotels losing 286 hours annually due to system switching. Despite AI's potential, consolidation is prioritized over AI spending. AI offers proactive decision-making, moving beyond dashboards, enhancing revenue and operations with actionable insights.

📈 The hospitality industry's data integration challenges are significant, with 93% of hotel leaders identifying system integration as a top priority in 2025 (Skift Research). MuleSoft reports 95% face data integration hurdles, impacting AI implementation. IBM's data breach report cites a $4.44 million average cost, highlighting the industry's vulnerability. Fragmentation causes revenue erosion and operational inefficiencies, increasing costs. Hotels with unified data see 5–15% revenue and 10–30% marketing ROI increases, emphasizing the need for interoperability.