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Reseach Article

Extracting Market Value of Business and Business Decision from Big Data Analytics

by Sarswati Kumar Pandey
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 133 - Number 1
Year of Publication: 2016
Authors: Sarswati Kumar Pandey
10.5120/ijca2016907732

Sarswati Kumar Pandey . Extracting Market Value of Business and Business Decision from Big Data Analytics. International Journal of Computer Applications. 133, 1 ( January 2016), 29-32. DOI=10.5120/ijca2016907732

@article{ 10.5120/ijca2016907732,
author = { Sarswati Kumar Pandey },
title = { Extracting Market Value of Business and Business Decision from Big Data Analytics },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 133 },
number = { 1 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume133/number1/23753-2016907732/ },
doi = { 10.5120/ijca2016907732 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:56.768003+05:30
%A Sarswati Kumar Pandey
%T Extracting Market Value of Business and Business Decision from Big Data Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 133
%N 1
%P 29-32
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Organizational data are exponentially increasing day by day that causes the data explosion, computation capacity and storage management of data in organizations due to variety, volume and velocity of data exceeded. The impact of Data Explosion on organizations computing technology and architecture are reducing the timely and accurate decision making. Big Data is not only the solution that assists the organizational success but also to increase the market more effectively and business operational improvements. Thus big data technologies help an organization to effectively take decisions and increase the market value.

References
  1. Badyal, Sargam, and Naveen Kumar. "Suggesting Advance Methods for Obtaining Instantly Recognizable and Accurate Images." (2014).
  2. Labrinidis, Alexandros, and H. V. Jagadish. "Challenges and opportunities with big data." Proceedings of the VLDB Endowment 5.12 (2012): 2032-2033.
  3. Russom, Philip. "Big data analytics." TDWI Best Practices Report, Fourth Quarter (2011).
  4. Zikopoulos, Paul, and Chris Eaton. Understanding big data: Analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media, 2011.
  5. Chen, Hsinchun, Roger HL Chiang, and Veda C. Storey. "Business Intelligence and Analytics: From Big Data to Big Impact." MIS quarterly 36.4 (2012): 1165-1188.
  6. Beath, Cynthia, et al. "Finding value in the information explosion." MIT Sloan Management Review 53.4 (2012): 18.
  7. Barney, Jay B. "How a firm’s capabilities affect boundary decisions." Sloan Manage (2012).
  8. Chaudhuri, Surajit, Umeshwar Dayal, and Vivek Narasayya. "An overview of business intelligence technology." Communications of the ACM 54.8 (2011): 88-98.
  9. Bharadwaj, Anandhi, et al. "Digital business strategy: toward a next generation of insights." MIS Quarterly 37.2 (2013): 471-482.
  10. Demirkan, Haluk, and Dursun Delen. "Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud."Decision Support Systems 55.1 (2013): 412-421.
  11. Sarswati Kumar Pandey and Madhulika. “Dealing with Heterogeneity of Data and Knowledge using Object Modeling.” International Journal of Advances in Engineering & Technology (IJAET), Volume 7 Issue 6, pp. 1812-1817, Jan. 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Data explosion Computational capacity Architecture Big Data Decision making.