Data Analysis in Hotel and Catering Management
Seiten
2018
Arcler Education Inc (Verlag)
978-1-77361-353-6 (ISBN)
Arcler Education Inc (Verlag)
978-1-77361-353-6 (ISBN)
- Titel z.Zt. nicht lieferbar
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
Examines various aspects of data management and data analytics in the hotel and hospitality industry. The book includes definitions of data gathering, data analytics, and the usage and importance of data analytics in both hotel and catering management.
Data Analysis in Hotel and Catering Management examines various aspects of data management and data analytics in hotel and hospitality industry. It includes definitions of data gathering, data analytics, usage and importance of data analytics in both hotel and catering management. Provides the reader with insights into the development of data analysis, so as to understand the vision, motivations, arguments, backgrounds and why some hotels and caterers are efficiently managing data than others.
Data Analysis in Hotel and Catering Management examines various aspects of data management and data analytics in hotel and hospitality industry. It includes definitions of data gathering, data analytics, usage and importance of data analytics in both hotel and catering management. Provides the reader with insights into the development of data analysis, so as to understand the vision, motivations, arguments, backgrounds and why some hotels and caterers are efficiently managing data than others.
Maria Rellie B. Kalacas is an assistant professor in Department of Food Technology at the College of Industrial Technology, Laguna State Polytechnic University, Santa Cruz, Campus, Philippines. She did her Doctor of Education major in Educational Management Degree and Master of Arts major in Technology and Home Economics from Laguna State Polytechnic University, Philippines. She also completed her Master of Arts in Industrial Education major in Hotel and Restaurant Management from Rodriguez Institute of Science and Technology, Philippines.
Erscheinungsdatum | 05.02.2019 |
---|---|
Sprache | englisch |
Maße | 152 x 229 mm |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Wirtschaft ► Betriebswirtschaft / Management | |
Weitere Fachgebiete ► Handwerk | |
ISBN-10 | 1-77361-353-7 / 1773613537 |
ISBN-13 | 978-1-77361-353-6 / 9781773613536 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
Datenanalyse für Künstliche Intelligenz
Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90
Auswertung von Daten mit pandas, NumPy und IPython
Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85