Predictive and Prescriptive Analytics in Big Data Era

  • Prachi DeshpandeEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 810)


The notion of data analytics and its real-time application is important in the big data era owing to the voluminous data generation. Predictive and prescriptive analytics provides the future trends from the available data effectively. This will help to decide the usability of the data and thereby its retention for future applications. The paper reports the predictive and prescriptive analytics notion in big data regime, various platforms for its analysis, and the future research directions.


Analytics Big data Data science 


  1. 1.
    Deshpande, P., Iyer, B.: Research directions in the internet of every things (IoET). In: International Conference on Computing, Communication and Automation (ICCCA), Noida-India, pp. 1353–1357, May 2017Google Scholar
  2. 2.
  3. 3.
    Cox, M., Ellsworth, D.: Application Controlled Demand Paging for Out-of-Core Visualization. NASA Ames Research Centre Report, Mountain View, CA (1997)CrossRefGoogle Scholar
  4. 4.
    Hardoon, D., Shmueli, G.: Getting Started with Business Analytics: Insightful Decision Marking. CRC Press, Boca Raton, FL (2013)CrossRefGoogle Scholar
  5. 5.
    Barga, R., Fontama, V., Tok, W.H.: Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes. Apress (2014). ISBN-13 (pbk): 978-1-4842-1201-1 and ISBN-13 (electronic): 978-1-4842-1200-4Google Scholar
  6. 6.
    Baker, P., Gourley, B.: Data Divination: Big Data Strategies. Delmar Learning (2014). ISBN: 1305115082 9781305115088Google Scholar
  7. 7.
    Chen, H., Chiang, R.H., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1165–1188 (2012)CrossRefGoogle Scholar
  8. 8.
    Kaisler, S.H., Espinosa, J.A., Armour, F., Money, W.H.: Advanced analytics-issues and challenges in a global environment. In: 2014 47th Hawaii International Conference on System Sciences (HICSS), pp. 729–738. IEEE (2014)Google Scholar
  9. 9.
    Evans, J.R., Lindner, C.H.: Business analytics: the next frontier for decision sciences. Decis. Line 43(2), 4–6 (2012)Google Scholar
  10. 10.
    Delen, D., Demirkan, H.: Data, information and analytics as services. Decisi. Support Syst. 55(1), 359–363 (2013)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.NandedIndia

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