Information
held
1. Guest Stay Records – departed
and reservations summary of key data imported
- a. Guest Spend – Accommodation, F & B and
Other
- b. Rooms Nights
- c. Date booking was made
- d. Market Segment
- e. Main Market Group
- f. Rate Code
2. Agent Profile Details
3. Company Profile Details
Information is analysed by
1. Account Manager
2. Agent & Company Profile Relationships
3. Mother – Daughter profile
connection
4. Fiscal forecast
5. High demand Events
System Maintenance - User Input 1. To link daughter profiles to
mother profiles – this
enables the consolidation of related guest stay records.
2. Entry of Fiscal Calendar – to provide fiscal
reporting past & future
3. Entry of supplementary information
to profiles – such
as
- a. Main Market Segment
- b. Centrally tracked Y or N
- c. Regionally Tracked Y or N
4. Entry of market segments & source
codes
5. Creation of “Event Profiles” – this
enables tracking of periods of high demand
6. Import of data from Fidelio
Analysis & Reporting 1. Analysis by Master Company – Provides an
overview of all Master accounts to assist in identifying
important clients.
- a. Analyses total turnover for 3 selected years for
all Master Companies.
- b. Total Revenue, Variance and Room Nights
- c. Market Segment Analysis
- d. Drill down to 36 months analysis of Master Company
for total revenue.
- e. Drill down to associated company details
- f. All fields can be sorted and filtered.
2. Relationships – The purpose of the relationships
section is to understand our clients and agent relationships.
What company uses which agents and what agents books
for which company.
- a. Analyses includes Average rate, Average length
of stay, mid-week & weekend nights, Rooms revenue & Food
and Beverage revenue and finally a total revenue split
for mid-week and weekend.
- b. These profile types can be analysed:
- i. Master Companies
- ii. Master Agents
- iii. Companies
- iv. Agents
- c. Drill down - depends on profile type being analysed,
E.g. If Master Company then Master Agents or Companies
associated with the selected record can be viewed and
vice versa.
- d. Date Range – Selection by year, month or
range of specific dates.
- e. All fields can be sorted and filtered.
3. High Demand – This can be used to track specific
events or times of high demand that occur on any time
frequency i.e. each year, each month, bi-annually etc.
- a. The first aspect of this section creates profiles
of high demand.
- i. An event profile is created by a date range and
the selection of rate codes associated with the event.
If no specific rate code is associated then a range
of dates only would be used.
- ii. Any number of instances of the same event can
be created to provide year on year or event on event
comparison.
- b. The second aspect focuses on Business on Books.
- i. By showing the reservations that have been made
for this event.
- ii. By showing the companies that have re-booked
for the event.
- iii. By showing the companies that had booked for
the event at this time for the last event. This is
a comparable
business on books analysis to indicate a relative strength
or weakness in the development of the event.
- c. Finally market segment analysis is available for
all events that have already occurred.
4. Forecast – All future reservations are downloaded
- a. Analysed by Market Segment
- b. by Companies
- c. by Fiscal Calendar
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