Running head: BUSINESS INTELLIGENCE
Business intelligence (BI) utilizes data mining, business analytics, data tools and
infrastructure, data visualization, and a couple of other best practices to enable organizations
to make more effective data-driven decisions (Azma & Mostafapour, 2012). In contemporary
times, businesses know that they have modern and effective business intelligence when they
have a more comprehensive perspective of the business's data and utilize that data to eliminate
inefficiencies, drive change, and supply changes. By definition, business intelligence includes
technologies, tools, and strategies utilized by organizations to analyze business information
and data. One of the critical reasons to invest in a business intelligence system is to increase
organizational efficiency. With increased efficiency comes increased productivity, which, in
turn, improves the financial performance of the entire corporation. A business intelligence
system saves on time when it comes to reporting analytics and other processes. (Azma &
Mostafapour, 2012) This area of research is extremely critical for business owners because it
advances their knowledge of data management. Also, the area of study is equally critical
because it enhances the ability to establish suitable opportunities for a business, thus enabling
business owners and leaders to plan for the future.
While the fundamental tenet of business intelligence is that it can analyze the future and
predict the past, this area of study is not limited to sales and marketing but also in health
facilities in the analysis of treatment regimens (Olszak, 2016). Because of business intelligence,
business leaders across the globe have discovered how to utilize data to its fullest potential, a
move that is contributing positively towards business success. It is important to note that there
are various business intelligence tools used by various organizations. Currently, there is more
information on what tools and business intelligence systems work better. Besides, business
intelligence tools, in the current times, have become more attainable. According to Olszak
(2016), business intelligence tools have enabled an organization to have robust data analysis
capabilities. Finding trends and receiving insights is critical for an organization to adapt and
scale up as the days go on. This is particular, what business intelligence software comes in.
Business intelligence is critical for data governance. An effective business intelligence
strategy is made up of an effective data governance policy. It is imperative to cleanse the data
before feeding it into the business intelligence tools for analysis. As mentioned earlier, business
intelligence tools are attainable, and they come in different groups, with dist...
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