Paper Status Tracking
Contact us
[email protected]
Click here to send a message to me 3275638434
Paper Publishing WeChat

Article
Affiliation(s)

Ezgi Dinçerden, Ph.D., MOS master instructor, Marmara University, Istanbul, Turkey.

ABSTRACT

Discipline of informatics must contain one of the significant issues that need to develop for especially processing systems of large-scale enterprises. At this point, a well-designed business intelligence (BI) system, which includes a structure of regular business activities and analyses within whole an enterprise, requires to manage stored data and transform the data into information as an output and forecasting targets and provide sustainable growth for an enterprise or an organization. Information systems (IS) support to constitute these processes by using the information technologies (IT) that cause to capture data which will be transformed into information and integrate whole subsystems that need to develop for all departments of the enterprise. BI tools organize all parts of these business analysis and processes and effect on the top management level of enterprises or organizations. Decision makers at the top-level of management must use these information and knowledge to orient future decisions for the enterprise that includes investments, company policies, precautions for the future negations, etc. This study shows that the BI is not only an IS, but also reinforcement for strategic decisions of the enterprises and/or organizations.

KEYWORDS

business intelligence (BI), information systems (IS), information technologies (IT), data, data mining, data warehousing, business systems, strategic decisions

Cite this paper

References
Burch, J. G., & Grudnitski, G. (1990). Information systems: Theory and practice (5th ed.). Singapure, Canada: John Wiley & Sons, Inc.
Dinçerden, E. (2010). The role of data mining techniques for organizations as a part of business intelligence. Proceedings from 2nd International Conference on New Media and Interactivity, April, 2010, Istanbul, Turkey.
Dinçerden, E. (2015). The role of business intelligence in strategic management of enterprises. Proceedings from 2015 Winter Global Technology Management Symposium, Riverside, California, USA.
Forgang, W. G. (2004). Strategy-specific decision making: A guide for executing competitive strategy. New York: M.E. Sharpe.
Gendron, S. M. (2013). Business intelligence applied: Implementing an effective information and communications technology infrastracture (1st ed.). Hoboken: John Wiley & Sons, Inc.
Howson, C. (2008). Successful business intelligence, secrets to making BI a killer app (1st ed.). New York: The McGraw-Hill Companies.
Howson, C. (2014). Successful business intelligence: Unlock the value of BI & big data (2nd ed.). New York: McGraw-Hill Education.
Moss, L. T., & Atre, S. (2003). Business intelligence roadmap: The complete project lifecycle for decision-support applications (1st ed.). Boston, USA: Pearson Education, Inc.
Turban, E., Sharda, R., Delen, D., & King, D. (2011). Business intelligence: A managerial approach (2nd ed.). Upper Saddle River: Pearson Education, Inc.
Valacich, J., & Schneider, C. (2010). Information systems today: Managing in the digital world (4th ed.). Upper Saddle River: Pearson Education, Inc.
Vercellis, C. (2009). Business intelligence: Data mining and optimization for decision making (1st ed.). Cornwall, UK: John Wiley & Sons Inc.
Williams, S., & Williams, N. (2007). The profit impact of business intelligence. San Francisco: Morgan Kaufmann Publishers, Elsevier Inc. 
Yeates, D., & Wakefield, T. (2004). Systems analysis and design (2nd ed.). London, UK: Pearson Education Inc.

About | Terms & Conditions | Issue | Privacy | Contact us
Copyright © 2001 - David Publishing Company All rights reserved, www.davidpublisher.com
3 Germay Dr., Unit 4 #4651, Wilmington DE 19804; Tel: 001-302-3943358 Email: [email protected]