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Samenvatting Data Driven Entrepreneurship
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Samenvatting module Data Driven Entrepreneurship voor het vak Innovatief Ondernemen.
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By: verginjoussef • 4 months ago
contains nothing but the presentations on blackboard
By: jordyvanwessel1 • 1 year ago
By: maaikekannegieter • 1 year ago
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Innovatief OndernemenData driven entrepreneurship
Vak: Innovatief Ondernemen
Toets: Data Driven entrepreneurship
Opleiding: HBS Hotel Management Hogeschool Saxion Apeldoorn
Leerjaar: 2
Periode: 2022-2023
1
,Inhoudsopgave
WEEK 1.1 ........................................................................................................................................................ 4
How can a hotel use data to improve its performance? ..................................................................................... 4
Schriftelijk examen ............................................................................................................................................. 4
Planning .............................................................................................................................................................. 4
Decision making.................................................................................................................................................. 5
Research approaches .......................................................................................................................................... 5
Revenue management ........................................................................................................................................ 5
Key performance indicators ................................................................................................................................ 6
WEEK 1.2 ........................................................................................................................................................ 7
Indexcijfers .......................................................................................................................................................... 7
Channel management ........................................................................................................................................ 7
Planning & control cycle ..................................................................................................................................... 7
Hotel budget ....................................................................................................................................................... 7
Sales Manager & Revenue Manager .................................................................................................................. 8
Predicting your room revenue ............................................................................................................................ 8
WEEK 1.3 ........................................................................................................................................................ 9
Forecast .............................................................................................................................................................. 9
Pricing ............................................................................................................................................................... 10
Stay pattern management................................................................................................................................ 10
Rate fences/restrictions .................................................................................................................................... 10
WEEK 1.4 ...................................................................................................................................................... 11
Wat is een risico? .............................................................................................................................................. 11
Waarom risico’s managen? .............................................................................................................................. 11
Stappen in risicomanagement .......................................................................................................................... 11
1. Indentiy the risks ..................................................................................................................................... 12
2. Analyse & Measure the Risk .................................................................................................................... 12
3. Treat & Managent the Risk ..................................................................................................................... 13
4. Monitor & Review the risk ....................................................................................................................... 13
WEEK 1.5 ...................................................................................................................................................... 14
5 fundamental characteristics of an effective system ...................................................................................... 14
Cressey, 1973 .................................................................................................................................................... 14
STR rapport ....................................................................................................................................................... 14
WEEK 1.6 ...................................................................................................................................................... 15
Cyber security ................................................................................................................................................... 15
Highlights.......................................................................................................................................................... 15
2
, CIA .................................................................................................................................................................... 15
5 functies die zorgen voor een succes vol cyberty program.............................................................................. 16
Data ............................................................................................................................................................. 17
Miro .................................................................................................................................................................. 17
From data to wisdom........................................................................................................................................ 17
Wat is data? ..................................................................................................................................................... 18
Human data – Types of human data ................................................................................................................ 19
Personal Data ................................................................................................................................................... 19
Data Definition Framework .............................................................................................................................. 19
Big Data aspects ............................................................................................................................................... 20
Hotel Data Map ................................................................................................................................................ 20
Room rate data ................................................................................................................................................. 20
Guest data ........................................................................................................................................................ 21
Clean and organize data ................................................................................................................................... 21
Data quality ...................................................................................................................................................... 22
Data begrippen ................................................................................................................................................. 24
3
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