Abstract
Business Intelligence and Big Data Analytics are separated from one another and introduced as independent complementary methods. Predictive analytics, sentiment analysis and social media analytics are introduced as Big Data methods for active market management on an individual customer basis and prepare the last game round of a transparent and proactive market influence with realtime intelligence. Theoretical foundations and algorithms as well as a comprehensive treatment of social media text mining and statistics are developed in Part II, Chap. 14 parallel to this chapter. The game round 4 and a final analysis will finish this course.
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References
Bayer M (2013) Hadoop – der kleine Elefant für die grossen Daten. Computerwoche. http://www.computerwoche.de/a/hadoop-der-kleine-elefant-fuer-die-grossen-daten,2507037. Accessed 16 Nov 2014
Bertolucci J (2013) Big data analytics: descriptive vs. predictive vs. prescriptive. Information Week. http://www.informationweek.com/big-data/big-data-analytics/big-data-analytics-descriptive-vs-predictive-vs-prescriptive/d/d-id/1113279. Accessed 16 Nov 2014
Duffy V (2008) Handbook of digital human modeling: research for applied ergonomics and human factors engineering. Taylor & Francis. http://books.google.ch/books?id=Ira9qiakiTMC. Accessed 16 Nov 2014
Hardoon D, Shmueli G (2013) Getting started with business analytics: insightful decision-making. Chapman & Hall/CRC machine learning & pattern recognition series
Plattner H (2013) A course in in-memory data management the inner mechanics of in-memory databases. Springer, Berlin
Sharef N (2014) A review of sentiment analysis approaches in big data era. Universiti Putra Malaysia. http://www.academia.edu/8716357/A_Review_of_Sentiment_Analysis_Approaches_in_Big_Data_Era. Accessed 16 Nov 2014
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Gronwald, KD. (2017). Business Intelligence (BI) and Big Data Analytics (Big Data). In: Integrated Business Information Systems. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-53291-1_9
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DOI: https://doi.org/10.1007/978-3-662-53291-1_9
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