The reality of real-time business intelligence

Divyakant Agrawal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

Real-time Business Intelligence has emerged as a new technology solution to provide timely data-driven analysis of enterprise wide data and information. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and business intelligence solutions. In this paper, we take an evolutionary approach to obtain a better understanding of the role of real-time business intelligence in the context of enterprise-wide information infrastructures. We then propose a reference architecture for building a real-time business intelligence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.

Original languageEnglish
Title of host publicationLecture Notes in Business Information Processing
Pages75-88
Number of pages14
Volume27 LNBIP
DOIs
Publication statusPublished - 5 Oct 2009
Externally publishedYes
Event2nd International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2008 - Auckland, New Zealand
Duration: 24 Aug 200824 Aug 2008

Publication series

NameLecture Notes in Business Information Processing
Volume27 LNBIP
ISSN (Print)18651348

Other

Other2nd International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2008
CountryNew Zealand
CityAuckland
Period24/8/0824/8/08

Fingerprint

Business intelligence
Information infrastructure
An enterprise
Strategic decision making
Data warehousing
Evolutionary
Data integration
Data streams

Keywords

  • Data-cube
  • Data-streams
  • Data-warehousing
  • Databases

ASJC Scopus subject areas

  • Business, Management and Accounting(all)

Cite this

Agrawal, D. (2009). The reality of real-time business intelligence. In Lecture Notes in Business Information Processing (Vol. 27 LNBIP, pp. 75-88). (Lecture Notes in Business Information Processing; Vol. 27 LNBIP). https://doi.org/10.1007/978-3-642-03422-0_6

The reality of real-time business intelligence. / Agrawal, Divyakant.

Lecture Notes in Business Information Processing. Vol. 27 LNBIP 2009. p. 75-88 (Lecture Notes in Business Information Processing; Vol. 27 LNBIP).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Agrawal, D 2009, The reality of real-time business intelligence. in Lecture Notes in Business Information Processing. vol. 27 LNBIP, Lecture Notes in Business Information Processing, vol. 27 LNBIP, pp. 75-88, 2nd International Workshop on Business Intelligence for the Real-Time Enterprise, BIRTE 2008, Auckland, New Zealand, 24/8/08. https://doi.org/10.1007/978-3-642-03422-0_6
Agrawal D. The reality of real-time business intelligence. In Lecture Notes in Business Information Processing. Vol. 27 LNBIP. 2009. p. 75-88. (Lecture Notes in Business Information Processing). https://doi.org/10.1007/978-3-642-03422-0_6
Agrawal, Divyakant. / The reality of real-time business intelligence. Lecture Notes in Business Information Processing. Vol. 27 LNBIP 2009. pp. 75-88 (Lecture Notes in Business Information Processing).
@inproceedings{d9999932046543c1ae8e99539156bb73,
title = "The reality of real-time business intelligence",
abstract = "Real-time Business Intelligence has emerged as a new technology solution to provide timely data-driven analysis of enterprise wide data and information. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and business intelligence solutions. In this paper, we take an evolutionary approach to obtain a better understanding of the role of real-time business intelligence in the context of enterprise-wide information infrastructures. We then propose a reference architecture for building a real-time business intelligence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.",
keywords = "Data-cube, Data-streams, Data-warehousing, Databases",
author = "Divyakant Agrawal",
year = "2009",
month = "10",
day = "5",
doi = "10.1007/978-3-642-03422-0_6",
language = "English",
isbn = "9783642034213",
volume = "27 LNBIP",
series = "Lecture Notes in Business Information Processing",
pages = "75--88",
booktitle = "Lecture Notes in Business Information Processing",

}

TY - GEN

T1 - The reality of real-time business intelligence

AU - Agrawal, Divyakant

PY - 2009/10/5

Y1 - 2009/10/5

N2 - Real-time Business Intelligence has emerged as a new technology solution to provide timely data-driven analysis of enterprise wide data and information. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and business intelligence solutions. In this paper, we take an evolutionary approach to obtain a better understanding of the role of real-time business intelligence in the context of enterprise-wide information infrastructures. We then propose a reference architecture for building a real-time business intelligence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.

AB - Real-time Business Intelligence has emerged as a new technology solution to provide timely data-driven analysis of enterprise wide data and information. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and business intelligence solutions. In this paper, we take an evolutionary approach to obtain a better understanding of the role of real-time business intelligence in the context of enterprise-wide information infrastructures. We then propose a reference architecture for building a real-time business intelligence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.

KW - Data-cube

KW - Data-streams

KW - Data-warehousing

KW - Databases

UR - http://www.scopus.com/inward/record.url?scp=70349549848&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70349549848&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-03422-0_6

DO - 10.1007/978-3-642-03422-0_6

M3 - Conference contribution

SN - 9783642034213

VL - 27 LNBIP

T3 - Lecture Notes in Business Information Processing

SP - 75

EP - 88

BT - Lecture Notes in Business Information Processing

ER -