Page 207 - DMGT505_MANAGEMENT_INFORMATION_SYSTEM

Management Information Systems

Notes
Figure 10.2: Components of Business Intelligence

Frequency & # users Complexity & Bus. Potential

Source: http://dspace.upce.cz/bitstream/10195/32436/1/CL585.pdf
There are also diverse views that describe BI as successor of DSS. The next production of DSS
applications evolved into business intelligence systems. These applications offer users with the
aptitude to simply take out data from one or more different sources and subject matters.
Formatting the data for a report or graphical demonstration is also easier. Additionally, BI
applications offer users with the ability of multidimensional analysis.

Example: Users can drill down on an income statement moving from net sales to sales
by product to sales by product/region and, finally, to sales by product/region/customer.
This capability offers users with the ability to reply questions like: What was the sales mix of
products sold? Which geographic regions did we sell the most and the least products? Who are
our top customers by geographic region and by product?”
BI applications are converted into group of data driven DSS and to make it more complex, there
are BI solution providers including text mining, web mining and statistical models into their
applications.

Above stated explanation illustrates problems that emerge in connection with choice of suitable
decision support technology.
Managers are specified many perplexing and sometimes conflicting information about probable
tools. Whilst scientific community functions with term decision support systems to elucidate
tools for decision making, software producers use term business intelligence for similar
functionality.
To make it much clearer we introduce symbolic synopsis of BI and DSS components on the
Figure 10.3.

Figure 10.3: Components of BI and DSS

Source: http://dspace.upce.cz/bitstream/10195/32436/1/CL585.pdf

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