Abstract
Analysis of data is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information; suggesting conclusions; and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains. Data is collected from a variety of sources. The requirements may be communicated by analysts to custodians of the data, such as information technology personnel within an organization. The data may also be collected from sensors in the environment, such as traffic cameras, satellites, recording devices, etc. It may also be obtained through interviews, downloads from online sources, or reading documentation. Data initially obtained must be processed or organized for analysis. For instance, these may involve placing data into rows and columns in a table format (i.e., structured data) for further analysis, such as within a spreadsheet or statistical software.
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Zohuri, B., Moghaddam, M. (2017). What Is Data Analysis from Data Warehousing Perspective?. In: Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation. Springer, Cham. https://doi.org/10.1007/978-3-319-53417-6_10
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DOI: https://doi.org/10.1007/978-3-319-53417-6_10
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