As a hotelier, you probably rely on data from multiple sources to keep your business running smoothly. Property management systems (PMS), revenue management systems (RMS), accounting systems, F&B POS and sales and catering platforms are likely part of your daily toolkit.

NB: This is an article from Juyo Analytics, one of our Expert Partners

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In a perfect world, all this hotel data would seamlessly flow between platforms, giving you a single and centralized source of truth for decision-making.

But let’s be real, that’s rarely the case. Instead, most hoteliers are stuck dealing with legacy systems, clunky webhooks, or good old-fashioned manual CSV exports or laborious Excel sheets.

Sound familiar? While these workarounds may have served as quick fixes, over time, they create more problems than they solve. In fact, fragmented hotel data management can cost you millions in lost revenue each year by providing information without context, and low-accuracy data.

The True Cost of Fragmented Hotel Data

1. Revenue loss from missed opportunities

When your hotel data is scattered across multiple platforms, you lose the full picture.

Let’s break it down in an example: Time to celebrate! Your PMS shows that reservations are up 2% compared to last year. But wait – what does your RMS say? It shows that market demand has increased by 7%. So, you’re actually underperforming. Without a unified hotel data source, you may think you’re ahead when in reality, you’re leaving money on the table. Ouch.

If your hotel data wasn’t fragmented, you’d have had the full context. You’d see that demand is surging, but at a lower rate than the market. That’s a missed opportunity.

Numbers alone don’t tell the full story. Placed in the right context, they reveal insights that drive smarter, more profitable decisions. A single metric – good or bad – means little without understanding trends, comparisons, and influencing factors that a well-integrated system can provide.

2. Inefficient operations and increased labor costs

When your hotel data isn’t consolidated, teams waste hours manually pulling reports from different systems. Not only is this tedious work, but it also increases the risk of human error.

Beyond wasted time, fragmented systems create operational bottlenecks. Without a single source of truth, different departments may be working with conflicting data, leading to inconsistent pricing strategies, delayed responses to guest inquiries, and errors in forecasting.

Read the full article at Juyo Analytics