01
PMS and finance revenue do not agree
Room revenue, taxes, packages, no-shows, refunds, or postings are treated differently, leaving managers to explain the gap after the period closes.
Hotel data audit · Reconciliation before replacement
Find why your hotel reports disagree before the next decision depends on them.
A hotel data audit traces conflicting PMS, POS, channel, finance, and spreadsheet figures to their definitions, owners, transformations, and source systems. It shows leadership which numbers can be trusted, which decisions are exposed, and the smallest practical fixes to make first.
Fixed scope. No software purchase required. Read-only evidence wherever practical.
When to investigate
The warning signs appear in ordinary management routines.
Most data-trust problems do not announce themselves as a broken system. They appear as recurring debates, manual adjustments, late explanations, and different answers to the same commercial question.
02
Channel and pickup views arrive late
Revenue teams combine channel-manager exports, PMS snapshots, and spreadsheets before they can discuss pace, availability, or room-type actions.
03
POS and purchasing tell separate stories
Sales mix, stock movements, recipes, invoices, and wastage cannot be connected quickly enough to guide menu, purchasing, or staffing decisions.
04
KPIs change between meetings
Occupancy, ADR, RevPAR, labour cost, or contribution figures vary because teams use different exclusions, calendars, property sets, or versions.
05
Managers rebuild the same report
Capable people spend recurring hours downloading, cleaning, copying, and checking data instead of investigating exceptions and agreeing actions.
06
No one owns the final number
A metric has a report creator but no accountable business owner who approves its meaning, resolves exceptions, and decides what happens next.
The aim is not perfect data everywhere. It is sufficient trust, control, and ownership around the evidence used for valuable recurring decisions.
What Arkonis examines
Follow the decision backward from action to source.
The audit selects a defined decision scope, then traces the people, reports, definitions, transformations, interfaces, and source records supporting it. This keeps the work tied to operational value instead of becoming an open-ended inventory.
01
Decision and owner
Who decides, in which forum, how often, using which threshold, and with what expected action.02
Report and definition
Where the figure appears, which rules and exclusions shape it, and whether teams interpret it consistently.03
Movement and control
How extracts, interfaces, spreadsheets, mappings, adjustments, and approvals transform the number.04
Source and exception
Which PMS, POS, channel, finance, labour, purchasing, or other records sit underneath it and where exceptions arise.What leadership receives
A reconciliation plan tied to decisions—not a catalogue of data defects.
The fixed-scope Hotel Profit Decision Audit turns the evidence into a management-ready set of outputs.
01
Systems and data map
The relevant flow across PMS, POS, channel, finance, guest, labour, purchasing, and spreadsheet layers.
02
Report trust test
A plain-language view of numbers that are agreed, disputed, late, manually rebuilt, or missing clear control.
03
Decision-risk register
Where a data gap can weaken pricing, staffing, purchasing, cost control, or another named management action.
04
Five ranked opportunities
Potential improvements compared by practical value, effort, evidence readiness, ownership, and time to learn.
05
One specified workflow
Inputs, definition, trigger, owner, action, control, review rhythm, and measure for the strongest first move.
06
Board-ready 90-day plan
A sequenced plan with owners, dependencies, decision gates, and work deliberately deferred from the first phase.
Fit and boundaries
For operational complexity without a dedicated data department.
This work is designed for one substantial independent hotel or a regional group with recurring cross-system reporting and leadership willing to involve finance, revenue, and operations.
- Good fit: management figures regularly disagree; reporting depends on spreadsheets; leaders can name decisions the problem is weakening.
- Good fit: the hotel wants an evidence-led first step before funding integration, BI, automation, or AI work.
- Not a fit: a very small property with little system complexity, a global chain governed entirely by a central data function, or a buyer seeking only implementation capacity.
- Not included: statutory financial assurance, tax advice, penetration testing, legal compliance certification, a complete data migration, or a promise of financial results.
Indicative process
A defined audit is normally planned across 14 business days.
Timing begins after scope, access, and stakeholder availability are agreed. A broader group, difficult extraction, or additional decision areas may require a separately confirmed scope.
Before day 1
Confirm scope
Choose the decisions, properties, stakeholders, reports, and access route; agree what is explicitly out of scope.Days 1–4
Trace evidence
Interview decision owners, inspect relevant reports and definitions, and map how information moves.Days 5–10
Test and rank
Compare selected evidence, document trust gaps, assess decision exposure, and rank improvements.Days 11–14
Specify the first move
Complete the workflow and 90-day plan, then run a leadership findings session to agree ownership.Data handling is scoped before access. Arkonis requests the minimum evidence needed, prefers read-only access or controlled exports, and agrees retention and deletion arrangements for each engagement.
Frequently asked questions
Hotel data audit questions
What is a hotel data audit?
A hotel data audit traces the figures used in management decisions back through their definitions, reports, spreadsheets, interfaces, and source systems. It identifies where data is missing, late, duplicated, disputed, or without a named owner, then prioritises practical controls and fixes.
How is this different from a financial audit?
A hotel data audit is not a statutory, accounting, tax, cyber-security, or compliance audit. It examines whether operating and commercial data is fit for repeated management decisions; qualified specialists remain responsible for formal assurance work.
Do we need to replace our PMS or POS?
Not by default. The audit starts with the decision and evidence path, then tests whether definitions, ownership, interfaces, or manual work are the real constraint before recommending system replacement.
How long does the audit take?
A defined one-property or group-level Hotel Profit Decision Audit is normally planned for 14 business days from agreed access and stakeholder availability. Scope and timing are confirmed after a fit call.
What does Arkonis need from the hotel?
The work typically needs leadership sponsorship, a small set of management reports and definitions, read-only samples or exports where appropriate, and focused interviews with finance, revenue, operations, and the people who prepare the reports.
Choose the next useful question
Start with the disputed number, then decide what capability comes next.
If the immediate issue is safe use of AI, review the readiness assessment. If reports already agree but decisions still stall, explore a hotel decision system.
Related services
Hotel AI readiness assessment →
Test whether data, governance, workflow, controls, and ownership can support a controlled first AI use case.
Hotel business intelligence consulting →
Turn trusted evidence into a named trigger, owner, action, escalation path, and review rhythm.
Research guide
The AI-ready hotel starts with trusted data →
Read the evidence-backed guide to ownership, definitions, integration, controls, and usable hotel data.
See the Hotel Profit Decision Audit →
Review the fixed-scope starting offer, deliverables, indicative fee, and clarity commitment.