Abstract
Data and information are important resources to be managed in modern organizations. Business analytics refers to the skills, technologies, applications and practices for exploration and investigation of past business performance to gain insight and aid business planning. The focus is on developing new insights and understanding based on data and statistical analysis. The emphasis is on fact-based management to drive decision making.
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References
Deffeyes KS (2001) Hubbert’s peak: the impending world oil shortage. Princeton University Press, Princeton, NJ
Levi M (2013) The power surge: energy, opportunity, and the battle for america’s future. Oxford University Press, Oxford
Meiners RE, Morriss A, Bogart WT, Dorchak A (2011) The false promise of green energy. Cato Institute, Washington, DC
Olson DL, Shi Y (2007) Introduction to business data mining. McGraw-Hill/Irwin, New York
Simmons MR (2005) Twilight in the desert: the coming Saudi oil shock and the world economy. Wiley, Hoboken, NJ
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Olson, D.L., Lauhoff, G. (2019). Data Visualization. In: Descriptive Data Mining. Computational Risk Management. Springer, Singapore. https://doi.org/10.1007/978-981-13-7181-3_2
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DOI: https://doi.org/10.1007/978-981-13-7181-3_2
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