Business Intelligence Indicators

Author:

Bimonte Sandro1,Schneider Michel2,Boussaid Omar3

Affiliation:

1. IRSTEA, Aubière, France

2. University of Clermont-Ferrand, Aubière, France

3. ERIC Laboratory, University of Lyon 2, Lyon, France

Abstract

Nowadays, more and more data are available for decisional analysis and decision-making based on different indicators. Although different decision-making technologies have been developed, the authors note the lack of a conceptual framework for the definition and implementation of these indicators. In this paper, they propose a first classification of these indicators. Furthermore, motivated by the need for formalism for the definition of these indicators at a conceptual level, they present the Business Intelligence Indicators (BI2) UML profile to represent indicators for OLAP, OLTP and streaming technologies. They also present their implementation in existing industrial tools. In addition, they show how these indicators can coexist in the same environment to exchange data through a chaining model and its implementation.

Publisher

IGI Global

Subject

Hardware and Architecture,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data-centric UML profile for agroecology applications: Agricultural autonomous robots monitoring case study;Computer Science and Information Systems;2023

2. On Modeling Data for IoT Agroecology Applications by means of a UML Profile;Proceedings of the 13th International Conference on Management of Digital EcoSystems;2021-11

3. Design and Implementation of Active Stream Data Warehouses;Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering;2021

4. Design and Implementation of Active Stream Data Warehouses;International Journal of Data Warehousing and Mining;2019-04

5. Data-Centric UML Profile for Wireless Sensors;International Journal of Agricultural and Environmental Information Systems;2019-04

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