After a recent column on software sunsets, one topic came up more than any other: data. Not just where it lives, but who controls it, how it moves, and what it costs when change becomes necessary. When I wrote recently about what happens when hotel technology gets sunset, I expected conversations about replacement systems, timelines, and transition planning.
NB: This is an article from SalesAndCatering
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What I did not expect was how quickly the discussion shifted. The responses were not about features or functionality. They were about data.
When systems change, access to data can become complicated, delayed, or unexpectedly expensive. In some cases, teams feel like they are paying to retrieve information they built over years of work.
That reaction says something important about where the industry is today.
Why this conversation is happening now
Most hotel companies understand that software evolves. Systems improve. Vendors shift direction. Change is part of the lifecycle.
What is less visible is how those changes affect the data inside those systems.
Sales and catering platforms are not just tools. They hold years of account history, contact relationships, event details, booking patterns, and performance insights. That information is not static. It is built over time, shaped by the teams who use it every day.
When a system changes, the question is not only what comes next, but also how easily that history can move with you.
Access is not always as simple as expected. Timing is not always aligned with business needs. And costs are not always clear in advance.
None of this shows up in a demo.
Ownership and access are not the same thing
There is broad agreement across the industry that customer data belongs to the customer.
Access, however, is just as important:
- How easily can teams export their data in a usable format
- How quickly can it be retrieved
- How much internal effort is required to prepare it for a new system
These are operational realities that only become visible when a change is underway.
In many cases, the issue is not ownership. It is how systems are structured, how permissions are set, and what was agreed to in the contract.
That distinction matters more than most teams realize.
Why this belongs in budget planning
This is where timing becomes important.
By early summer, many hospitality organizations are already preparing for the next budget cycle. Contracts are reviewed. Technology decisions are revisited. Priorities are set for the coming year.
That makes this the right moment to take a closer look at data.
Not as a technical detail, but as part of planning.
A more prepared approach includes understanding:
- How data can be accessed and exported
- What notice periods apply to contract changes
- What happens to data at termination
- How portfolio structures may affect portability
- What level of effort and cost is involved in migration
Addressing these points early allows teams to plan with clarity and avoid unnecessary pressure later in the process.
It also creates more flexibility. When timelines are understood and options are clear, decisions can be made based on what is best for the business, not what is easiest in the moment.
For hotel owners, the cost of maintaining flexibility when changing management direction can come as a surprise. These exit costs are often not fully understood at the start of a relationship and can limit access to data while creating higher-than-expected expenses at the time of transition. Data should be treated no differently than FF&E when a hotel is sold or a new management agreement is put in place.
A practical shift in how systems are evaluated
One of the more encouraging outcomes from these conversations is that hotel companies are starting to look at technology differently.
The focus is expanding beyond what a system does today to how it supports the business over time.
That includes questions around usability, adoption, and performance. It also includes something that has not always been front of mind in hospitality platform decisions: long-term control.
- Can teams access their own data without relying on a complex process?
- Is the data usable when exported?
- Can changes be made without introducing delays or unexpected costs?
These questions shape how smoothly a transition can happen and how much disruption a team experiences when it does.
