Project at a Glance

Initial Situation

Incomplete or incorrectly recorded guest data repeatedly occurred in day-to-day operations. Individual errors affected downstream tasks, including the calculation of tourist tax and the successful submission of legally required guest reports.

Incorrect data records had to be reviewed and corrected later. This created avoidable rework, duplicated effort and additional pressure at the interfaces between reception, reservations and the night shift.

From my perspective, the core issue was not the individual errors themselves, but a process in which data quality was checked too late, causing corrections to be shifted into downstream work steps.

Analysis

For this case study, I did not treat the issue simply as a question of individual diligence, but as a process and interface problem.

• Which information must be complete and correct at check-in?
• At which points do typical data entry or transfer errors occur?
• When are errors detected — immediately during data entry or only at a later stage?
• Which downstream tasks are created by incorrect or incomplete data records?
• Which verification steps can be moved as early as possible in the process?

The central approach is therefore: identify and correct errors where the data is first entered — not at the end of the process chain.

My Contribution

• Identified a recurring operational issue and structured it as a process problem
• Connected the effects on data quality, rework, tourist tax and guest reporting
• Reviewed process steps and relevant interfaces
• Defined a target process for a more consistent check-in and verification workflow
• Defined measurable target criteria for later evaluation
• Scoped the concept so that planning and actual implementation remain clearly separated

Proposed Approach

The proposed target process is designed to check the completeness and plausibility of relevant guest data as early as possible during the original processing step. This should make errors visible sooner and reduce the number of corrections shifted to later shifts or other departments.

Target Criteria

As the project is still in development, the following figures are target values, not results that have already been achieved.

• Guest data is complete and correct by the end of the responsible processing step and no longer requires routine rework by downstream functions.
• Incorrect tourist tax calculations and rejected reporting records should be significantly reduced compared with a baseline to be established at the start of the project; a reduction of at least 90% has been defined as the target.
• Legally required guest reports should be submitted successfully within the required time frame; any remaining errors should be identified and corrected within the same period.

Expected Value

• less avoidable rework and duplicated effort
• higher data quality
• fewer corrections to tourist tax calculations
• more reliable downstream reporting
• clearer process ownership
• less pressure at the interfaces between the functions involved

Current Status

The case study currently documents the problem definition, process analysis, target process and intended success criteria. Operational implementation and a reliable before-and-after measurement are not yet available and are therefore not presented as results.

Planned Next Step

The following sequence describes my current plan for a possible continuation of the project. No operational approval has been granted, so these steps have not yet been implemented.

• Establish a quantitative baseline: document error types, rework and rejected data records over a defined period to create a reliable baseline.
• Refine the target process: define verification steps, responsibilities and handover points so that relevant errors are identified as early as possible during initial data entry.
• Run a limited pilot: test the revised workflow within a clearly defined scope and gather feedback from the functions involved.
• Compare results: compare error rates, rework effort and on-time reporting with the baseline and adjust the process based on the findings.

What This Case Study Shows About How I Work

For me, a recurring error is first of all a signal to examine the process behind it. Rather than adding more controls at the end of a process, I look for the point where the problem can be prevented or detected as early as possible.

At the same time, I deliberately distinguish between a plausible solution, a defined target and a result that has actually been demonstrated. For me, this distinction is an essential part of credible project and process work.

Interested in My Profile?

You can find more information about my professional experience and background in my curriculum vitae. I would be pleased to discuss suitable roles in project coordination, operations or process improvement.

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