Today, no business can survive without technology. Implementing the right kind of technology is the key to success for any small, medium or large business enterprise. Businesses must make sure that they understand how important technology is for their company, how it will ease the process of doing business, and bring down the cost of doing business.There is a growing need for business professionals to develop technology and analytical skills in order to compete in an increasingly data-driven marketplace. Analysts and managers alike are expected to think critically and make important decisions utilizing the vast amount of data available.Business intelligence (BI) is a general category of applications and technologies for collecting, storing, analyzing, and providing access to data to help users make better and faster decisions. BI applications include the activities of decision support systems, query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining. The purpose of this research is to explore several tools that fall under the BI umbrella and investigate their applicability within the context of business decision making. This will help decision makers select the right BI tool for the right decision problem using the right technology. This would result in reduced IT costs by eliminating redundancy and consolidating computing resources, accelerated decision making, and improved accuracy, consistency, and relevance of decisions by providing a single version of truth.Areas: business intelligence, data analysis, quality assurance, and decision support.Research determining the effect of BI functions on the decisional and organizational benefits are rare.
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