PEMANFAATAN SISTEM BISNIS INTELIJEN (BI) DALAM PENGAMBILAN KEPUTUSAN MANAJEMEN PERUSAHAAN

Hendri Rudiawan

Abstract


The abundance of data in the company means that it is almost impossible to collect
information that is important for making company decisions manually. A business intelligence
(BI) approach to fast and accurate enterprise decision making can help provide solutions to the
high volume of data in enterprises. (BI) provides the right tools and technologies to help collect,
integrate, store, edit, and analyze the data needed to control the high volume of enterprise data.
Although so far only large companies are interested in BI, the need for BI is also a need for new
companies that are developing.
The large use of BI in many companies has made the market for BI growing very rapidly.
This paper specifically discusses the general potential of using BI in companies. First, there will
be a discussion on which BI solution provider is more suitable for the company and what
opportunities the BI system can implement in the company. It then discusses the extent to which
BI has advantages in its application in companies, including what is the target of the objectives
of implementing BI in companies. Finally, it discusses how the success factors of BI
implementation can be applied in the company.


Keywords: Business Intelligence (BI), Decision Making


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References


Anandarajan, M., Srinivasan, C.A. and

Anandarajan, A. (2004), Business

Intelligence Techniques, SpringerVerlag, Berlin Heidelberg, 2004.

BARC. (2012), Business Intelligence im

Mittelstand 2011/2012. Status quo,

Ausblick und Empfehlungen, 2.

Auflage, BARC-Institut, Würzburg,

März 2012.

Chamoni, P. and Gluchowski, P. (2010),

Analytical Information Systems,

Business Intelligence Technologies

and Applications, 4th Completely

Revised Edition, Springer, Berlin

Heidelberg, 2010.

Gluchowski, P., Gabriel, R. and Dittmar, C.

(2008), Management Support

Systems and Business Intelligence,

Computer-Aided Information

Systems for Professionals and

Executives, 2nd Edition, SpringerVerlag, Berlin Heidelberg, 2008.

Kemper, H. G. and Baars, H. (2006),

Business Intelligence und CI. ITbasierte Managementunterstützung

und markt-/wettbewerbsorientierte

Anwendungen. In, Business &

Competitive Intelligence-HMDPraxis der Wirtschaftsinformatik

, H.G. Kemper, H. Heilmann &

H. Baars, Eds. (pp. 7–20),

Heidelberg, 2006.

Kemper, H.G., Mehanna, W. and Unger, C.

(2004), Business IntelligenceJurnal Ekonomi, Volume 23 Nomor 3, Oktober 2021

Copyright @ 2021, oleh Program Pascasarjana, Universitas Borobudur

___________________________________________________________________________

Grundlagen und praktische

Anwendungen. Wiesbaden, 2004/

Maier, R. (2004), Knowledge Management

Systems-Information and

Communication Technologies for

Knowledge Management, 2nd Edition,

Berlin, 2004.

Mertens, P. (2002), Business Intelligence –

Ein Uberblick, Arbeitspapier an dem

Arbeitspapier der Universität

Erlangen-Nurnberg 2/2002.

Stackowiak, R., Rayman, J. and Greenwald,

R. (2007), Oracle Data Warehousing

and Business Intelligence Solutions,

Wiley Publishing, Inc.2007.

Suefert, A., and Schiefer, J. (2006),

Enhanced Business IntelligenceSupporting Business Processes with

Real-Time Business Analytics,

Proceedings of the 16th international

workshop on Database and Expert

System applications DEXA’05.

Tvrdikova, M. (2007), Support of Decision

Making by Business Intelligence

Tools, Computer Information

Systems, and Industrial Management

Applications, 2007. CISM'07. 6th

International Conference, pp. 368.

Wang, J., Chen, T. and Chiu, S. (2005),

Literature Review on Data Warehouse

Development. IACIS Pacific 2005

Conference Program, National

Chengchi University, pp. 987-994.

Xu, M. and Kaye, R. (2007), The nature of

strategic intelligence, current practice

and solutions. In M. Xu (Ed.),

Managing strategic intelligence:

Techniques and technologies.

Hershey/London: Information Science

Reference.

Zeng, L., Xu, L., Shi, Z., Wang, M. and Wu,

W. (2006), Techniques, process, and

enterprise solutions of business

intelligence, 2006 IEEE Conference

on Systems, Man, and Cybernetics

October 8-11, 2006, Vol. 6, pp. 4722.




DOI: https://doi.org/10.37721/je.v23i3.871

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