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Big Data and Business Intelligence: a data-driven strategy for e-commerce organizations in the hotel industry

Padberg, M.D. (2015) Big Data and Business Intelligence: a data-driven strategy for e-commerce organizations in the hotel industry.

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Abstract:The following research question will be answered: How can an organization start with Big Data to get more value out of the available data and optimize the Business Intelligence processes in such a way that it will be more frequently used for decisions? An organization could start with Big Data, Business Intelligence, and Decision Making by: (i) selecting a test department with an open-minded and data friendly manager (ii) identifying and selecting opportunities that can be solved with Big Data, Business Intelligence, and Decision Making (iii) starting an innovation process with the following steps: experimentation, measurement, sharing, and replication (iv) train employees about the capabilities of Big Data (v) start with Big Data and learn about Big Data tools while implementing and using them (vi) make a list of all Big Data tools that meet the MAD requirements. The results of this thesis also indicate that: (i) In general, Big Data is still considered as a new subject and research area (ii) Within the Big Data community two streams can be distinguished (iii) If an organization starts with Big Data, Business Intelligence, and Decision Making the organization should not replace their current platforms (v) It is important to create an evidence based culture (vi) Making timely decisions and understanding your customers can create a huge performance increase (vii) It is important to maximize the visualization of the available data.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
Link to this item:http://purl.utwente.nl/essays/68095
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