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

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

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

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

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

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

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

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

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

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

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