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Accion labs cloud in practice - business intelligence on cloud case study
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Transcript of Accion labs cloud in practice - business intelligence on cloud case study
Business Intelligence on CloudA case study
for the Hospitality Industry
06/11/14
Who we are, what we do
Chain of hotels spread across US, Europe, Asia
Growth through acquisitions of properties
Highly volatile market depending upon customer behavior
High uncertainty in inventory utilization
Several ancillary services contribute towards margins
REVIEW Your ObjectivesPerformance MeasuresBusiness Initiatives
Identify Gaps & Take Corrective Action
06/11/14
Our Strategy
ENHANCE Customer ExperienceService Efficiency Productivity
Strengthen your loyalty Base
Our Strategy
06/11/14
OPTIMIZE CostsMINIMIZE Wastage
ACHIEVE Growth TargetsINCREASE Profitability
IMPROVE Operational EfficiencyIMPLEMENT Robust ProcessesHIGH QUALITY ProcessesPROJECT Monitoring SystemsMAXIMISE Productivity
06/11/14
Our Strategy
EMPOWER our PeopleHIGH Performance Work CultureENCOURAGE InnovationCREATE Excellent Leaders
06/11/14
Our Strategy
The Problem
Properties spread across multiple locations Disparate systems at each location
Depending upon age and technology maturity
Existing solution only able to provide one-wayanalysis of past data
No feedback loop for analytics on the feld Actions based on analytics required at each location
Only static dashboards without interactivity
The Bigger Problem
Customer satisfaction depends upon highlyunstructured data
Too many factors to measure- More than 150 Critical KPI’s (per Hotel) in the MIS- Cascades to many more sub-elements
No easy way to consolidate and analyzeunstructured data
No simple way to draw inferences
The Solution
Balanced Scorecard Strategy Uniform, consolidated view of performance across
the chain
Business Intelligence on the Cloud Near real-time analytics available on the feld
Big Data to handle unstructured data Elastic, horizontally scalable data warehouse
Smart interactive visualization Enables normal operational staff to draw actionable
inferences
The Result
5X improvement in Customer Satisfaction index acrossthe chain
Ability to react to Customer Preference trends in nearreal time
High level of user adoption at the feld
Low Capital infusion & High ROI on software due toelastic infrastructure on the cloud
COVENARK®
Demonstration
06/11/14
The Need for Critical Information is NOW!
By everyone at:
The Operational LevelAt Other Hotel Units/Branches
The Planning TeamThe Purchase Team
The Renovation TeamThe Corporate Offce
06/11/14
The Need for Critical Information is NOW!
At my Finger TipsOn my mobileOn the Cloud
Using Big Data
06/11/14
Q & A
06/11/14
ENHANCING THE CUSTOMER PREFERENCE PROFILE
06/11/14
PERSONA
• Individuals – Nationality , Industry Segment• Corporate - Industry Segment, Size, • Airline - Which Airline, Which Country• Family - Nationality, Community, Language• Group - Cultural, Heritage, Sport, Religious,
Healthcare• Government – Country, Department, Function
ROOM PREFERNCE
Room Attributes, for Room Type Suite, Double, Twin etc:
• Sea Facing• City Facing• Pool View• Higher Floor• Lower Floor• Smoking/Non Smoking• Ladies Room• Verandah
CUISINE
Additional Attributes, for Breakfast, Lunch Dinner, Supperetc.:
• Indian – Cuisine By State or Region -> Menu items• Pan Asian – Cuisine By Country -> • Chinese – Cusine by Region ->• French – Pastry, Soups, Desserts ->• Italian – Pizza, Pasta, Dolce, Salads ->• Japanese – Sushi, Sashimi, Tempura etc• Fusion – Regional Combinations• Nouvelle -• Thai
Beverage
Additional Attributes, for Beverages
• Wine – Red, White, Rose – Region?• Spirit – Whiskey, Vodka, Rum, Gin, Region?.......
………………The list is just never ending!!
THE BIG DATA PERFORMANCE MONITORING
FRAMEWORK
06/11/14
Seven Simple Steps!
Step 1 - Articulate your Strategic Direction
& Give Clarity to your Mission Objectives.
Step 2 - Actionable & Measurable Objectives.
Step 3 - Defne each Measure, assign ownership & align them toObjectives.
Differentiate between Lead and Lag Measures.
Step 4 - Cascade &Defne the sub-elements with Formulae, to the ‘nthlevel’.
Step 5 - Assign Linkages & Identify Sources of the data for theseMeasures
Step 6 - Apply BIG DATA MAGIC!
Step 7 - Regularly Review and Monitor your business performance.
06/11/14
Aligning People, Processes & Projects to your Business Strategy
06/11/14
mPOWER your Business!