1. EiB Case Study: Hotel Analytics from Incomplete Data >
Comparative P&L Statements > Power BI Dashboards
Presented by David Bridge

2. Agenda Introduction to the Hotel Industry Current State of MI
What we need and why
Solution, Benefits and ROI
The Future

3. An Overview Fragmented with differing stakeholders
Many data-locking legacy systems
Opaque due to control issues
Lacks leadership for development

4. The Current State of MI
Different divisions - different software, different expertise
Dependence on “home-grown” Excel spreadsheets
Consolidation only in accounting
Profitability by division not by “activity”
No profitability by customer type
Excessive manual processing
Time spent preparing rather than using

5. Industry Requirement Automated data capture and audit
Improved forecasting and proactivity
Validation and sharing
Common hotel application and UI
Trend analysis and flexible drill down
Actionable Data To Drive Strategy
Activity tracking across all divisions
Profit-based yielding
Profit-based incentives

6. The Current Cost –Various Hotels
Substantial increases in revenue not profit:
Poor trend tracking = inaccurate forecasting
Incomplete tracking by activity
Facilities blocked by small groups
Costs included in other departments
Uncertainty = overstaffing in many departments
No recognition of capex investment
Missed opportunities for bulk purchasing
Decisions based on room’s revenue alone
Offer and peak period pricing miscalculated
Cost of business acquisition ignored
Other income derived from same guest ignored
Weak cash and settlement control
Judgement income-based

7. The Solution EiB Analytics = data-sharing platform
Redefine processes and check business logic
Dashboards for all level of management
Management skills from all divisions
Understanding activity profitability
Decisions on up-to-date facts
IT FLAIR + HOTEL EXPERIENCE

10. Return on Investment Selling and cost price monitoring
All existing standards reviewed
Time of day, day of week etc.
Labour productivity
Accurate forecasting
Bulk purchasing
Legacy systems can be replaced
Ranking to drive competition
Sales conversion accelerated
Effort switched from production to ACTION

11. Some Quick Wins With an investment of between £50k to £100k Next steps
Use of facilities
Demand pricing
Simple first steps
Better tracking of guests
Savings purchasing - 5% on food and 1% on beverage -
Use of profit as main measure
Icing on the cake
Labour efficiency - from 1% to 5+% -
Sharing data across all management
Discounting control – increase from 0.5% to 10% extra income at similar cost –
Cost aware sales team
Accelerated and improved conversion
Benchmarking

12. The Future Cloud based multiple properties Cloud base reduces costs
PowerBI multi-view multi-device
Multiple property platform
Data cleansing and automated validation
AI = improved forecasting and increased profitability

13. EiB Case Study: Hotel Analytics from Incomplete Data >
Comparative P&L Statements > Power BI Dashboards
Presented by David Bridge