A brand new analysis report, based mostly on a world survey of greater than 250 lodge IT determination makers, reveals that the hospitality business’s much-discussed “knowledge downside” is much from solved. The report, How Prime-Performing Lodges Flip Huge Information Into Huge Wins, was independently produced by Starfleet Analysis, the IT market analysis arm of Starfleet Media and a number one supply of best-practices content material for hospitality know-how determination makers, with underwriting assist from IBS Software program.
IBS Software program is a world supplier of SaaS options for the journey and hospitality business. Its iStay platform is a cloud-native hospitality administration system that unifies reservations, income, operations, gross sales and distribution, advertising and marketing, and loyalty features on a single system to assist the whole visitor journey.
The findings present that solely 24% of lodges have totally built-in their core methods—PMS, RMS, POS, reserving engines, distribution platforms, and loyalty applications amongst them. Simply 34% handle visitor knowledge centrally, whereas 42% depend on disconnected methods and 16% nonetheless depend upon guide strategies. When methods don’t talk, operational and business selections are sometimes delayed or made with incomplete info, resulting in missed income alternatives and inconsistent visitor experiences.
From Information Chaos to Information Readability
The analysis attracts a transparent distinction between lodges that merely gather knowledge and those who flip it into actionable perception. Prime-performing lodges—these reporting measurable features in income, visitor satisfaction, and operational effectivity—are way more prone to function on totally built-in, cloud-native platforms that unify reservations, visitor profiles, pricing historical past, and repair requests right into a single supply of reality.
These platforms allow:
- Actual-time, role-based dashboards for GMs, income leaders, and front-line workers.
- Automated updates throughout all channels and departments, crucial on condition that 20% of lodges nonetheless handle stock manually.
- Sooner workers onboarding and streamlined workflows, in distinction to the 80% of lodges that take greater than every week to completely onboard new hires.
The payoff is measurable. One massive resort changed its fragmented tech stack with a unified knowledge structure and noticed a 22% enhance in per-stay ancillary spend by launching automated F&B upsell campaigns tied to real-time occupancy and visitor profile knowledge.
Actual-Time Insights and the Predictive Frontier
Almost one in 4 properties lack real-time visibility into primary KPIs akin to occupancy, ADR, and labor productiveness. Prime performers, in contrast, push dwell insights to each group and shift, permitting them to:
- Detect demand surges and modify pricing inside minutes.
- Reroute housekeeping priorities based mostly on dwell room standing.
- Monitor IoT sensors for early upkeep intervention earlier than visitor consolation is affected.
The following frontier is predictive intelligence. The survey discovered that 45% of hoteliers plan to spend money on AI-powered forecasting and determination assist instruments inside the subsequent 12 months, but solely 15% presently use predictive fashions for labor planning, although practically half cited labor prices as their prime operational problem.
The chance is critical. An upscale city lodge used predictive analytics to forecast assembly house demand and proactively goal gross sales outreach, boosting occasion income by 27% quarter over quarter.
The Untapped Potential of Personalization
Whereas personalization is well known as a driver of each income and loyalty, the report finds it’s nonetheless underutilized. Solely 32% of lodges combine loyalty and engagement knowledge with their PMS and CRM. Those who do, nevertheless, are seeing:
- Upsell conversion will increase of 17–25%.
- Greater ADR and RevPAR from tailor-made bundle choices.
- Loyalty program enrollments as much as thrice greater.
Personalization at scale means going past static segmentation to ship dynamic gives and experiences based mostly on behavioral and contextual knowledge, which is one thing disconnected methods make tough or not possible.
Seven Steps to Information-Pushed Excellence
The report outlines a sensible roadmap for lodges to maneuver from data-rich to data-smart:
- Audit and consolidate the tech stack.
- Centralize operational and visitor knowledge.
- Ship real-time insights to each position.
- Deploy predictive analytics for staffing, pricing, and demand.
- Automate guide processes wherever potential.
- Personalize visitor engagement at each touchpoint.
- Construct knowledge fluency throughout all departments.
Why This Issues Now
In an surroundings formed by rising prices, labor shortages, and more and more demanding company, agility has turn out to be a crucial aggressive benefit. The analysis exhibits that lodges pulling forward are these that may join methods, departments, and visitor touchpoints right into a cohesive, insight-driven complete.
Obtain the Full Report
The findings in How Prime-Performing Lodges Flip Huge Information Into Huge Wins go far past headline statistics. The report gives in-depth evaluation, real-world case examples, and an in depth roadmap for unifying methods, unlocking real-time intelligence, and personalizing the visitor expertise at scale. It additionally highlights rising tendencies in AI-powered forecasting, predictive analytics, and cross-functional knowledge sharing which can be reshaping lodge efficiency.
The report, independently produced by Starfleet Analysis with underwriting assist from IBS Software program, is now out there for complimentary obtain, giving lodge leaders the insights and finest practices they should shut the hole between data-rich and data-smart operations.