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Using Social Media Data In Demand Forecasting : The Case Of Walmart, Aybike Akici
Using Social Media Data In Demand Forecasting : The Case Of Walmart, Aybike Akici
Dissertations
We describe a fully empirical study on demand forecasting, that is applicable to any real-world data. This is a hands-on case study on the power of social media in demand forecasting. We implement a Box-Jenkins methodology with exogenous variables, namely ARIMAX, to forecast Walmart's future sales. The social media components that we utilize are the number of likes and comments on the official Facebook page of Walmart. The details of the empirical investigation for fitting the best ARIMAX model are presented, and the results are discussed. With this thesis, we demonstrate that social media information should be considered in forecasting, …
An Investigation Of Low Frequency Noise In Server Rooms, Ahmed Al Naami
An Investigation Of Low Frequency Noise In Server Rooms, Ahmed Al Naami
Dissertations
Noise in a server room can have a major impact on the performance and well-being of the occupants. Sound level and low frequency noise are considered factors that influence the hearing ability of workers. This thesis is an investigation of low-frequency noise in server rooms. We conducted the field study in a server room for a large financial institution. Some employees in this study indicated that they experienced headaches from the noise and requested an analysis of the sound to determine if there were any potential adverse health effects. Attributes of the noise were investigated by evaluating the sound pressure …