BUSINESS INTELLIGENCE DEVELOPMENT WITH POWER BI APPLIED IN NONCONVENTIONAL TECHNOLOGIES
Keywords:
Business Intelligence, Big Data, electrical discharge machining
Abstract
Regardless of the type and size of the organization in which we operate, it is essential for us to know what solutions to choose in order to use them knowingly and capitalise their potential to the full capacity. Joint reporting, collecting and organizing large data volumes (Big Data) in order to automate and streamline the decision-making are possible by means of Business Intelligence (BI) systems. The use of BI enables the construction and implementation of complementary strategies, whose implicitly result is competitive advantages. This concept was applied in nonconventional technologies, namely electrical discharge machining.
References
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2. Ranjan, J., Business Intelligence: Concepts, Components, Techniques and Benefits, Journal of Theoretical and Applied Information Technology, Vol. 9, No. 1, pp. 60-70, (2014).
3. Nelson, G., Introduction to the SAS 9 Business Intelligence Platform: A Tutorial. SESUG Proceedings (c) SESUG Inc., USA, (2007).
4. www.maximizer.com.
5. Schwartz, M. Business Intelligence (BI). Overview and Trends. Information Systems Audit and Control Association, March 2011
6. Lachev, T., Applied Microsoft Power BI (2nd Edition): Bring your data to life! Microsoft Data Analytics, (2017).
7. Minelli, M. Chambers, M. Dhiraj, A., Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Business. John Wiley & Sons Inc., USA, (2013).
8. Williams, S., Business Intelligence Strategy and Big Data Analytics: A General Management Perspective, 1st Edition, Kindle Edition, Elsevier Inc. (2016).
9. Pirnau, M., Botezatu, C., Botezatu, C.P., General information on business intelligence and OLAP systems architecture, Proceedings of the 2nd International Conference on Computer and Automation Engineering (ICCAE), Volume 5, Singapore, (2010).
10. https://cloudsecurityalliance.org.
11. Tabusca, A., A new security solution implemented by the use of the multilayered structural data sectors switching algorithm (MSDSSA), Journal of Information Systems & Operations Management (2010).
12. Ghiculescu, D., Marinescu, N.I., Ghiculescu, L.D., Pîrnău, C., Customer Matrix with Different Time Horizons Applied to Electrodischarge Machines, Applied Mechanics and Materials, Vol. 371, pp. 220-224, (2013).
Published
2017-12-29
How to Cite
Pirnau, C., Marinescu, N., Ghiculescu, D., & Ciocardia, R. (2017). BUSINESS INTELLIGENCE DEVELOPMENT WITH POWER BI APPLIED IN NONCONVENTIONAL TECHNOLOGIES. Nonconventional Technologies Review, 21(4). Retrieved from http://revtn.ro/index.php/revtn/article/view/203
Section
Articles
