American Journal of Software Engineering and Applications
Volume 6, Issue 4, August 2017, Pages: 111-115
Received: Aug. 21, 2017;
Accepted: Sep. 5, 2017;
Published: Oct. 2, 2017
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Hiba Alsghaier, Computer Information Systems Department, Yarmouk University, Irbid, Jordan
Mohammed Akour, Software Engineering Department, Yarmouk University, Irbid, Jordan
Issa Shehabat, Management Information Department, Yarmouk University, Irbid, Jordan
Samah Aldiabat, Management Information Department, Yarmouk University, Irbid, Jordan
Companies all over the world try to get the benefits from accessing to information that is available in social media to improve their performance and increase their revenue, processing heterogeneous type of data to extract the valuable data is a problem that many organizations try to solve. One of the most important trends is in general known as “Big Data”, technology for Storing, Processing and analyzing data, companies are Managing data in order to use it in new levels and direct decision makers to make agile decisions in real time, Big Data trend have the capability to guide a revolutionary transformation in research, invention, and business marketing. In this research we highlight some aspects of Big Data and its importance on organizations' business performance and how companies can use the famous open source platform Hadoop to process data to gain the competitive advantage.
The Importance of Big Data Analytics in Business: A Case Study, American Journal of Software Engineering and Applications.
Vol. 6, No. 4,
2017, pp. 111-115.
Davenport, H., and Jill, D. "Big data in big companies." International Institute for Analytics (2013).
Russom, P. "Managing big data." TDWI Best Practices Report, TDWI Research (2013): 1-40.
Barnaghi, P, Amit, S, and Cory, H. "From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors' Introduction]." IEEE Intelligent Systems 28.6 (2013): 6-11.
Chen, H, Roger HL Chiang, and Veda C. Storey. "Business Intelligence and Analytics: From Big Data to Big Impact." MIS quarterly 36.4 (2012): 1165-1188.
Jiang, W. and Chai, H., 2016, July. Research on big data in business model innovation based on GA-BP model. In Service Operations and Logistics, and Informatics (SOLI), 2016 IEEE International Conference on (pp. 174-177). IEEE.
Wang, Z. and Zhao, H., 2016, June. Empirical Study of Using Big Data for Business Process Improvement at Private Manufacturing Firm in Cloud Computing. In Cyber Security and Cloud Computing (CSCloud), 2016 IEEE 3rd International Conference on (pp. 129-135). IEEE.
Sosna, M., Trevinyo-Rodríguez, R. N. and Velamuri, S. R., 2010. Business model innovation through trial-and-error learning: The Naturhouse case. Long range planning, 43(2), pp.383-407.
Banica, L., & Hagiu, A. (2015). Big Data In Business Environment. Scientific Bulletin-Economic Sciences, 14(1), 79-86.
Alfouzan, H. I. Big Data In Business. International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May-2015 1351 ISSN 2229-5518.
Dinh, L. T. N., Karmakar, G., Kamruzzaman, J., & Stranieri, A. (2015, December). Business context in big data analytics. In 2015 10th International Conference on Information, Communications and Signal Processing (ICICS) (pp. 1-5). IEEE.
Sarnovsky, M., & Paralic, J. (2015, November). Teaching big data analysis at Technical University in Kosice in business information systems study program. In Emerging eLearning Technologies and Applications (ICETA), 2015 13th International Conference on (pp. 1-6). IEEE.
Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75-86.
Jha, M., Jha, S., & O'Brien, L. (2016, June). Combining big data analytics with business process using reengineering. In Research Challenges in Information Science (RCIS), 2016 IEEE Tenth International Conference on (pp. 1-6). IEEE.
Chaudhary, R., Pandey, J. R., & Pandey, P. (2015, October). Business model innovation through big data. In Green Computing and Internet of Things (ICGCIoT), 2015 International Conference on (pp. 259-263). IEEE.
Huang, Y., Youtie, J., Porter, A. L., Robinson, D. K., Cunningham, S. W., & Zhu, D. (2016, October). Big Data and Business: Tech mining to capture business interests and activities around Big Data. In Big Data and Cloud Computing (BDCloud), Social Computing and Networking (SocialCom), Sustainable Computing and Communications (SustainCom) (BDCloud-SocialCom-SustainCom), 2016 IEEE International Conferences on (pp. 145-150). IEEE.
McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data. The management revolution. Harvard Bus Rev, 90(10), 61-67.
Popovič, A., Hackney, R., Tassabehji, R., & Castelli, M. (2016). The impact of big data analytics on firms’ high value business performance. Information Systems Frontiers, 1-14.
Ting Yu, Xia Xue, Jiaqi Liu, Mechanism Design of Health Information Platform Under the Big Data Environment, Science Innovation. Vol. 4, No. 2, 2016, pp. 105-109. doi: 10.11648/j.si.20160402.25
Zhang Hang, Liu Yun, The Research Based on Big Data Management Accounting Model Building, Science Innovation. Vol. 4, No. 4, 2016, pp. 228-234. doi: 10.11648/j.si.20160404.20
Wang Weichen, Gao Jing, Cao Rui. Survey of Big Data Storage Technology. Internet of Things and Cloud Computing. Vol. 4, No. 3, 2016, pp. 28-33. doi: 10.11648/j.iotcc.20160403.13
Lidong Wang, Cheryl Ann Alexander. Stroke Care and the Role of Big Data in Healthcare and Stroke. Rehabilitation Sciences. Vol. 1, No. 1, 2016, pp. 16-24. doi: 10.11648/j.rs.20160101.13