In recent years, due to new technologies databases are growing rapidly. This has resulted in evolution of term “Big Data”. Big Data is nothing but huge data sets that can be processed and analysed to get useful information. Big Data Analytics is the process of inspecting large datasets, extracting information from it. These meaningful information obtained from large data sets can be utilized in business. Big Data Analytics helps business to take innovative, better decisions so as to improve business output. Big Data is large in size, grows very quickly hence impossible for traditional systems to process it. In this paper we review the importance of Big Data, Big Data Analytics and we propose an approach for using uncovered patterns, information of Big Data Analytics in Business Intelligence. Also an attempt is made in listing challenges in Big Data Analytics.

Big Data, Business Intelligence, Big data Analytics, Data Clustering, Data Optimization, Classification

[1] Sun, Zhaohao & Zou, Huasheng & Strang, Kenneth David. (2015), “Big Data Analytics as a Service for Business Intelligence”, 58. 162-169. 10.1080/08874417.2016.1220239
[2] Jafar Raza Alam, Asma Sajid, Ramzan Talib, Muneeb Niaz, “A Review on the Role of Big Data in Business “, Joint Chiefs of Staff Message Center, Vol. 3, Issue. 4, April 2014, ISSN 2320–088X
[3] Pekka Pääkkönen, Daniel Pakkala, “Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems, Big Data Research”, Volume 2, Issue 4, 2015, Pages 166-186, ISSN 2214-5796
[4] Alexandre Borba, Ana Akemilkeda, “Big Data Usage in the Marketing Information System”, Journal of data analysis and information processing 2014, 2, 77-85
[5] Pingale Murali Manish, Sheetal Kasale, Anit Dani Simon, “Banking & Big Data Analytics”, OSR Journal of Business and Management (IOSR-JBM), e-ISSN: 2278-487X, p-ISSN: 2319-7668 PP 55-58
[6] Hossin Hassani, Xu Huang, Emmanual Silva, “Digitalization and Big Data Mining in Banking”, MDPI, Received: 27 June 2018; Accepted: 17 July 2018; Published: 20 July 2018
[7] Srivastava, Utkarsh & Gopalkrishnan, Santosh, “Impact of Big Data Analytics on Banking Sector: Learning for Indian Banks”, Procedia Computer Science. 50. 643-652. 10.1016/j.procs.2015.04.098
[8] Wani, Mudasir & Jabin, Suraiya , “Big Data: Issues, Challenges and Techniques in Business Intelligence”, Conference: Conference: Proceedings of CSI - 50th Golden Jubilee Annual Convention, Springer (AISC Series), December 2015
[9] Althaf Rahaman.Sk, Sai Rajesh.K, .Girija Rani K, “Challenging tools on Research Issues in Big Data Analytics”, 2018 IJEDR | Volume 6, Issue 1 | ISSN: 2321-9939
[10] Hsinchun Chen, Roger H. L. Chiang, Veda C. Storey, “Business intelligence and analytics: from big data to big impact”, MIS Quarterly Vol. 36 No. 4/December 2012
[11] P. Soumya Sree Laxmi, P. Sree Pranathi, “Impact of Big Data Analytics on Business Intelligence-Scope of Predictive Analytics”, E-ISSN 2277 –4106, P-ISSN 2347 5161, Accepted 22 March 2015, Available online 29 March 2015, Vol.5, No.2 (April 2015)
[12] Siddu P. Algur, Prashant Bhat, “Web Video Mining: Metadata Predictive Analysis using Classification Techniques”, I.J Information Technology and Computer Science 2016 in MECS, DOI:10.5815/ijitcs.2016.02.09
[13] Taylor-Sakyi, Kevin. (2016). “Big Data: Understanding Big Data”, Cornell University Library, arXiv
[14] Hugh J. Watson, “Tutorial: Big Data Analytics: Concepts,Technologies, and Applications”, Communications of the Association for Information System, Volume 34, Article 65
[15] Zakir, Jasmine, (2015), “Big Data Analytics”, Conference: International Association for Computer Information Systems, Volume 16