Multi Criteria Business Intelligence approach (MCBI) aims to enhancement Business Intelligence Applications (BIA) by applying Multi-Criteria Decision Making (MCDM). MCBI approach contributes to improve Business Intelligence Decision Support System (BIDSS) for BIA. Also MCBI approach presents a standard method to evaluate and select business decisions. The recommended business decision is the su...

Business Intelligence has never been examined with the same rigor as demanded for any other organization investments. Although global investment in Business Intelligence has reached over 6 billion dollars, business managers continue to follow tradition and leave the management of business intelligence to the technocrats. In this paper, the author proposes that a critical need exists to apply th...

Business Intelligence (BI) provides the ability to access any type of data inside or across enterprises and to analyze and present them as usable information. To work on business intelligence, an enterprise has to deal with important problems relating to both (1) Data integration and (2) Analysis and presentation of data for strategic decision-making. No matter what the application, the need fo...

As a new management idea generated in the electronic commerce environment, collaborative commerce extend the range of business administration from a single enterprise to business partners. Business intelligence helps enterprises integrate data efficiently, and then turn the data into valuable information for enterprises, thus making the enterprise acquire knowledge and improve the ability of en...

The implementation of an enterprise-level business intelligence initiative is a large-scale and complex undertaking, involving significant expenditure and multiple stakeholders over a lengthy period. It is therefore imperative to have systematic guidelines for business intelligence stakeholders in referring business intelligence maturity levels. Draw upon the prudent concepts of the Capability ...

Business intelligence (BI) is a promising way which let companies to gather large amounts of data, accessing, analyzing that data, and presenting a high-level set of reports that condense the huge amount of that data so that they can make fundamental business decisions regarding business actors (customer, supplier, logistics...). To learn from the past and present time and anticipate the new ma...

Industry 4.0 is a set of technologies that companies require to promote innovation strategies and obtain rapid response in dynamic markets. It focuses mainly on interconnectivity, digital technology, predictive analytics machine learning revolutionize the way operate develop. Therefore, this article proposes motivates implementation organizations. Studying state art reviewing current situation ...