Business Intelligence for Information Systems- myassignmenthelp

Question: Discuss about theBusiness Intelligence for Information Systems Engineering. Answer: Business intelligence architecture of SaS SaS business Intelligence is referred to as a Visual analytics that helps to reveal the pressure n an IT enterprise with the help of self service access to an in depth knowledge extent. In order to get sophisticated results it is necessary for any business enterprise to adopt the most suitable BI platform to gain effective commercial success and competitive advantages (Stone and Woodcock 2014). The components of SAS include data integration, intelligence storage, Business Intelligence (BI) and analytics. Preparation of data, display of data these are the two different activities delivered by SAS BI. Information may be of relational database such as oracle, My SQL, Teradata etc. Regardless of the storage location of data that is whether OLAP, information maps or in SAS dataset are viewed as the toolset of Business Intelligence. In some cases users can also create ETL process in SAS integration studio (Gallinucci, Golfarelli and Rizzi 2015.). OLAP cube summarizes huge set of information to ensure that the users can easily review and fetch data from the server storage. On the other hand the information map allows the users to join data, rename variables etc. After preparation of data according to the architecture details, it can be accessed through different ways and those are as follows: SAS web report studio SAS Business Intelligence dashboard SAS information delivery portal SAS BI can create strong connection or bride between the users and data sources. It can integrate all information those are spread all over the enterprise (Naous, Schwarz and Legner 2017). It reduces the rate of time wastage and an also get added values for company success. The usage of SaS in a business enterprise In order to accomplish enterprise activities, SAS BI is very helpful and the following are the benefits: It can easily customize portals and dashboards It provides advanced business visualization Helps to develop high level business intelligence It has powerful query and analysis capabilities as well (Debortoli, Muller and vom Brocke 2014) It provides advanced metadata management options It has a well flexible deployment abilities It provides intuitive interface for the OLAP data server and exploration References Debortoli, S., Muller, O. and vom Brocke, J., 2014. Comparing business intelligence and big data skills.Business Information Systems Engineering,6(5), pp.289-300. Gallinucci, E., Golfarelli, M. and Rizzi, S., 2015. Advanced topic modeling for social business intelligence.Information Systems,53, pp.87-106. Naous, D., Schwarz, J. and Legner, C., 2017. Analytics As A Service: Cloud Computing and the Transformation of Business Analytics Business Models and Ecosystems. Stone, M.D. and Woodcock, N.D., 2014. Interactive, direct and digital marketing: A future that depends on better use of business intelligence.Journal of Research in Interactive Marketing,8(1), pp.4-17.