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RAP: a conceptual business intelligence framework

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Arijit LahaAuthors Info & Claims

COMPUTE '08: Proceedings of the 1st Bangalore Annual Compute Conference

Article No.: 23, Pages 1 - 4

https://doi.org/10.1145/1341771.1341796

Published: 18 January 2008 Publication History

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Abstract

Over last few years Data Warehouse (DW) has emerged as the core of the Business Intelligence (BI) infrastructure for many forward-looking organizations. It is often complemented by Business Performance Management (BPM) and workflow management tools for operationalizing of strategic and tactical decisions and tracking progress of activities across the organization. However, till now there is not much support available to the decision-makers to leverage "organizational experience" i.e., the past events, corresponding responses made as well as their respective impacts, to guide him/her in the decision-making process. In this paper a conceptual BI framework, the Reference-Activity-Projection (RAP) is proposed. RAP is designed to support the decision-making process through a systematic access mechanism to organizational experience. RAP uses along with standard BI tools and techniques, the emerging technologies such as complex event processing (CEP), unstructured/semi-structured data mining, social network analysis etc.

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Cited By

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Debbi H(2017)Modeling and Formal Analysis of Probabilistic Complex Event Processing (CEP) ApplicationsModelling Foundations and Applications10.1007/978-3-319-61482-3_15(248-263)Online publication date: 20-Jun-2017
https://doi.org/10.1007/978-3-319-61482-3_15
Liyang TZhiwei NZhangjun WLi W(2011)A Conceptual Framework for Business Intelligence as a Service (SaaS BI)Proceedings of the 2011 Fourth International Conference on Intelligent Computation Technology and Automation - Volume 0210.1109/ICICTA.2011.541(1025-1028)Online publication date: 28-Mar-2011
https://dl.acm.org/doi/10.1109/ICICTA.2011.541
(2009)Efficient Topic-Based File Sharing in Hybrid Wireless NetworksProceedings of the 42nd Hawaii International Conference on System Sciences10.1109/HICSS.2009.180(1-9)Online publication date: 5-Jan-2009
https://dl.acm.org/doi/10.1109/HICSS.2009.180

Index Terms

RAP: a conceptual business intelligence framework
1. Information systems
  1. Information retrieval

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Published In

COMPUTE '08: Proceedings of the 1st Bangalore Annual Compute Conference

January 2008

195 pages

ISBN:9781595939500

DOI:10.1145/1341771

Program Chair:
R. K. Shyamasundar
IBM Research Labs

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 January 2008

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COMPUTE08: ACM Bangalore Chapter COMPUTE 2008

January 18 - 20, 2008

Bangalore, India

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Overall Acceptance Rate 114 of 622 submissions, 18%

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Cited By

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Debbi H(2017)Modeling and Formal Analysis of Probabilistic Complex Event Processing (CEP) ApplicationsModelling Foundations and Applications10.1007/978-3-319-61482-3_15(248-263)Online publication date: 20-Jun-2017
https://doi.org/10.1007/978-3-319-61482-3_15
Liyang TZhiwei NZhangjun WLi W(2011)A Conceptual Framework for Business Intelligence as a Service (SaaS BI)Proceedings of the 2011 Fourth International Conference on Intelligent Computation Technology and Automation - Volume 0210.1109/ICICTA.2011.541(1025-1028)Online publication date: 28-Mar-2011
https://dl.acm.org/doi/10.1109/ICICTA.2011.541
(2009)Efficient Topic-Based File Sharing in Hybrid Wireless NetworksProceedings of the 42nd Hawaii International Conference on System Sciences10.1109/HICSS.2009.180(1-9)Online publication date: 5-Jan-2009
https://dl.acm.org/doi/10.1109/HICSS.2009.180

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Index Terms

Recommendations

Getting value from Business Intelligence systems

Lessons and Challenges from Mining Retail E-Commerce Data

Data integration flows for business intelligence