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CONCLUSION

Big Data Operation Management has become a revolutionary word which focuses on creating a customer-centric business by collecting and analyzing voluminous amount of data from distributed data sources.The knowledge thus gained helps in understanding the needs of every customer individually so that it becomes easier to do the business with them. It also focuses on understanding the various customers purchasing behavior and trends so that valuable insights can be converted into action. This is the revolutionary change to build a customer-centric business. It also helps in analyzing and exploring large data sets to find hidden rules, associations, patterns among the parts of data, which help to formalize and plan the future decision making process which is enabled by knowledge feature.

REFERENCES

Al-Jarrah, O. Y., Yoo, P. D., Muhaidat, S., Karagiannidis, G. K., & Taha, K. (2015). Efficient Machine Learning for Big Data: A Review. Big Data Research, 2(3), 87-93. doi:10.1016/j.bdr.2015.04.001

Aloui, A., & Touzi, A. G. (2015). A Fuzzy Ontology-Based Platform for Flexible Querying. International Journal of Service Science, Management, Engineering, and Technology, 6(3), 12-26. doi:10.4018/IJSSMET.2015070102

Azar, A.T., & Hassanien, A.E. (2014). Dimensionality reduction of medical big data using neural-fuzzy classifier. Soft computing, 19(4), 1115-1127. DOI 10.1007/ s00500-014-1327-4

Bhanu, S. K., & Tripathy, B. K. (2016). Rough Set Based Similarity Measures for Data Analytics in Spatial Epidemiology. International Journal of Rough Sets and Data Analysis, 3(1), 114-123. doi:10.4018/IJRSDA.2016010107

Chen, M., Mao, S., & Liu, Y. (2009). Big Data: A Survey. Springer-. Mobile Networks and Applications, 19(2), 171-209. doi:10.1007/s11036-013-0489-0

Deepak, D., & John, S. J. (2016). Information Systems on Hesitant Fuzzy Sets. International Journal of Rough Sets and Data Analysis, 3(1), 55-70.

Ghallab, S. A., Badr, N. L., Salem, A. B., & Tolba, M. F. (2014). Strictness petroleum prediction system based on fussy model. International Journal of Service Science, Management, Engineering, and Technology, 5(4), 44-65. doi:10.4018/ ijssmet.2014100104

Harzog, B. (2015). Big data operations management. Retrieved from https://www. virtualizationpractice.com/big-data-operations-management-19219/

Hassanien, A. E., Azar, A. T., Snasel, V., Kacprzyk, J., & Abawajy, J. H. (2015). Big Data in Complex Systems: Challenges and Opportunities. Springer.

Hoffmann, A. O. I., & Birnbrich, C. (2012). The impact of fraud prevention on bank- customer relationships. International Journal of Bank Marketing, 30(5), 390-394. doi:10.1108/02652321211247435

Huang, T., Lan, L., Fang, X., An, P., Min, J., & Wang, F. (2015). Promises and challenges of big data computing in health science. Big Data Research., 2(1), 2-11.

Jagadish, H. V. (2015). Big Data and Science: Myths and Reality. Big Data Research, 2(2), 49-52. doi:10.1016/j.bdr.2015.01.005

Jin, X., Wah, B. W., Cheng, X., & Wang, Y. (2015). Significance and challenges of big data research. Big Data Research, 2(2), 59-64. doi:10.1016/j.bdr.2015.01.006

Ryan, T., & Lee, Y. C. (2015). Multi-tier resource allocation for data-intensive computing. Big Data Research, 2(3), 110-116. doi:10.1016/j.bdr.2015.03.001

Shabeera, T. P., & Madhu Kumar, S. D. (2015). Optimizing virtual machine allocation in MapReduce cloud for improved data locality. International Journal of Big Data Intelligence., 2(1), 2-8. doi:10.1504/IJBDI.2015.067563

Srivastava, U., & Gopalkrishnan, S. (2015). Impact of Big Data Analytics on Banking Sector: Learning for Indian Bank. Big Data. Cloud and Computing Challenges., 50, 643-652.

Tiwari, P. K., & Joshi, S. (2015). Data security for software as a service. International Journal of Service Science, Management, Engineering, and Technology, 6(3), 47-63. doi:10.4018/IJSSMET.2015070104

Wahi, A. K., Medury, Y., & Misra, R. K. (2014). Social Media: The core of enterprise 2.0. International Journal of Service Science, Management, Engineering, and Technology, 5(3), 1-15. doi:10.4018/ijssmet.2014070101

Wahi, A. K., Medury, Y., & Misra, R. K. (2015). Big Data: Enabler or Challenge for Enterprise 2.0. International Journal of Service Science, Management, Engineering, and Technology, 6(2), 1-17. doi:10.4018/ijssmet.2015040101

 
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