BI4BI: A continuous evaluation system for Business Intelligence systems
Autor: | Corinne Jeannet, Lilia Gzara, Nadine Mandran, Sophie Dupuy-Chessa, Manel Brichni |
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Rok vydání: | 2017 |
Předmět: |
Business information
Focus (computing) business.industry Computer science Management science 05 social sciences General Engineering 02 engineering and technology Industrial engineering Computer Science Applications Set (abstract data type) Continuous evaluation Artificial Intelligence Order (business) 0502 economics and business Business intelligence 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing business 050203 business & management |
Zdroj: | Expert Systems with Applications. 76:97-112 |
ISSN: | 0957-4174 |
Popis: | Business Intelligence (BI) allows supporting decision making by providing methods and tools to easily access and manage business information. Indeed, it is crucial to maintain BI systems and make them evolve in order to fit business and users’ needs. For this purpose, applying BI for BI is suggested. It helps to analyze the current BI environment and to make decisions about its use and evolution. Then, the main contribution of this paper consists in developing a novel system called BI4BI which is based on both BI systems’ data and BI users’ feedbacks. As a result, based on a user centered approach, an automated system for BI evaluation is developed helping its continuous evolution. To this end, system-based and user-based solutions provide two complementary data sources, required to effectively gather insights on the use of BI systems and the way they should evolve. A case study in a semiconductor manufacturer company demonstrates the impact of our solution on the evaluation and evolution of BI systems. Hence, thanks to the involvement of the company’s BI users during the solution design, a set of evaluation criteria responding to their objectives for evaluating the BI system are identified and validated. Furthermore, the results of this case study show that our proposed solution is better than existing ones, in terms of level of focus of its BI evaluation criteria, its level of automation, and its continuous processing. |
Databáze: | OpenAIRE |
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