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• W4212889212 abstract "Private and public organizations have been using data for decision-making. However, these organizations have been struggling in putting into practice the design data analytics projects. In this sense, this chapter aims to present a proposal of a designing business analytics projects with a practical five steps dashboarding cycle. The first step, Business Questions, deals with the scope of a data analytics project creating problem-based questions. The second step, Data Sources, details which are the data sources to be collected. The third step, Extraction, Transform, and Loading (ETL), sets up data source routines of what, where, and when to collect data. The fourth step, Data Warehouse, creates a data repository where data is stored and treated after ETL process. The fifth step, Data Visualization, designs a web dashboard with interactive features such as tables and graphs. This chapter ends with three practical examples in both public and private organizations." @default.
• W4212889212 created "2022-02-24" @default.
• W4212889212 creator A5060634428 @default.
• W4212889212 creator A5072280240 @default.
• W4212889212 date "2022-01-01" @default.
• W4212889212 modified "2023-09-26" @default.
• W4212889212 title "Designing Business Analytics Projects (BAP)" @default.
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• W4212889212 doi "https://doi.org/10.4018/978-1-7998-9016-4.ch004" @default.
• W4212889212 hasPublicationYear "2022" @default.
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