Business Studies Journal (Print ISSN: 1944-656X; Online ISSN: 1944-6578)


Application of Business Intelligence Analytics

Author(s): Alekha Chandra Malla

Ever since mainframe computers began piling up huge storehouses of data in the 1970s, managers and managers have examined for/tried to become ways to go random facts and figures into valuable data upon which to improper consistent business decisions. But it wasn't until the introduction of relational (computer files full of information) and client/server technology in the 1990s that companies took advantage of the market's need for decision support systems to create and define a new industry, which is now widely known as business intelligence (BI). Business intelligence allows organizations to extract useful, (basis for a lawsuit/something that can be used) information from a quickly growing (list of items/produce a list of items) of very different data sources, including multiple (computer file full of information) (raised, flat supporting surfaces), packaged computer programs, data warehouses, data marts and e-business systems. The purpose of this paper is to point out the extremely important things of Business Intelligence in connection to the ERP system, the (change for the better, over time) of the idea and the benefits of its putting into use with big business information system. Finally, we will make some (things to carefully think about) on the adoption of business intelligence applications. Different projects have been done/tried in order to prevent or detect illegally dishonest things/thefts (by lying), especially in the money-related and (related to managing money) areas. (Describe a possible future event) give modelling may improve auditing (wasting very little while working or producing something), reducing the costs related to useless audits and increasing the chance of effective ones.

Get the App