Analyzing SaS Business Intelligence Architecture & Applications

This report provides an overview of the SaS Business Intelligence (BI) architecture, highlighting its role in providing visual analytics and self-service access to in-depth knowledge within an IT enterprise. It emphasizes the importance of selecting a suitable BI platform for achieving commercial success and competitive advantages. The report details the components of SAS, including data integration, intelligence storage, BI, and analytics, and explains how SAS BI bridges the gap between users and data sources by integrating information spread across the enterprise, reducing time wastage and adding value to company success. The report further elaborates on the benefits of using SaS in a business enterprise, such as customizable portals and dashboards, advanced business visualization, high-level business intelligence development, powerful query and analysis capabilities, advanced metadata management options, flexible deployment abilities, and an intuitive interface for OLAP data server and exploration.

Running head: BUSINESS INTELLIGENCE
Business Intelligence: SaS
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1BUSINESS INTELLIGENCE
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

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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

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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.