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dc.contributor.authorBonthi, Sneha
dc.contributor.authorAndriamanalimanana, Bruno; Adviser
dc.contributor.authorRezk, Mohamed; Reviewer
dc.contributor.authorReale, Michael; Reviewer
dc.description.abstractThe purpose of this report is to study a dataset of movies and analyse the possibility and feasibility of implementing a data warehousing or a data mining application to improve analytics and decision making. The project report talks about the raw data originating from the data collection centres and box offices which can be modelled and transformed into a specific format and structure that would help the business analysts in identifying patterns and trends so as to take important business decisions. The report explores the benefits of extracting, transforming and loading this raw data into a dimensional model. According to the proposed implementation, one can create a reporting layer to perform aggregations and grouping them by various attributes like date, genre, actor and country and present them using dashboards and reports to enable better decision making. This single point of data, which is the result of data mining activity, can be shared and brainstorming sessions can then be carried out to infer priceless market information and effectively utilize time and efforts to maximize profits.en_US
dc.subjectdata miningen_US
dc.subjectdata analysisen_US
dc.subjectmarket analysisen_US
dc.titleData Mining and Bi Data Warehousing Based Implementation for a Random Film Studioen_US
dc.description.institutionSUNY Polytechnic Institute

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  • SUNY Polytechnic Institute College of Engineering
    This collection contains master's theses, capstone projects, and other student and faculty work from programs within the Department of Engineering, including computer science and network security.

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