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Cloud-Based Data Warehouse for Web-Analytics as a Service. BDaaS

Student: Kolcheva Valeriya

Supervisor: Nikolay Golov

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Master)

Year of Graduation: 2017

With the advent of the Internet, the very concept of information has changed. The opportunities for global access to information and automated tracking of user behavior have become data sources for analytics that no marketer could ever imagine. The flow of clicks, from which it is possible to extract a lot of information for making managerial decisions, immediately attracted the attention of many analysts of different levels. However, a raw analysis of clicks can help businesses to learn only the result, but not the motive of user behavior. Only the ability to aggregate data, build analytical models can reveal common rules in the behavior of site visitors and greatly improve both the quality of the site itself and the quality of the products offered. However, the user's path, all of his interactions with the site are a large amount of information. Before business, the question arises of how to effectively store and analyze information of such large volumes, because for a site with a wide audience, the amount of data can be very large. Own infrastructure becomes quite an expensive solution, especially for companies whose main activity is different from IT: additional staff are required to create and maintain infrastructure. Cloud computing is the way out of this situation.

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