The Assessment of Business Intelligence Tools and Review of its Evaluations

Ibrahim, Rabiu.; Muhammad, Shamsiyya Adam.; Mamman, Joshua.

dc.contributor.author	Ibrahim, Rabiu.
dc.contributor.author	Muhammad, Shamsiyya Adam.
dc.contributor.author	Mamman, Joshua.
dc.date.accessioned	2024-09-15T16:34:49Z
dc.date.available	2024-09-15T16:34:49Z
dc.date.issued	2023
dc.identifier.issn	3027-0650
dc.identifier.uri	http://hdl.handle.net/123456789/625
dc.description	Business intelligence (BI) is the process of collecting, analyzing, and transforming data into information that can be used to make informed business decisions. The goal of BI is to provide stakeholders with insights into the performance of the business, identify trends, and detect patterns that can inform strategic and operational decisions. The increasing availability of data and the rise of big data analytics have led to the development of more sophisticated BI tools that can handle larger volumes and more complex types of data. BI tools are used by organizations of all sizes and across all industries, from finance and healthcare to retail and manufacturing.	en_US
dc.description.abstract	Business intelligence (BI) is a set of techniques and tools used to collect, analyze, and transform data into information that can be used to make informed business decisions. With the rise of big data analytics, the landscape of BI tools has become more complex and diverse. This report investigates five different tools used for business intelligence: Tableau, Power BI, QlikView, SAP BusinessObjects, and MicroStrategy. The methodology used for evaluating the tools includes a comparison of features and functionalities, user interface and ease of use, data integration capabilities, and cost. The analysis of the findings includes a discussion of the strengths and weaknesses of each tool, as well as the identification of relevant models, theories, and frameworks used in the evaluation process. The results of the evaluation indicate that Tableau and Power BI are the most comprehensive and user-friendly tools, with strong data integration capabilities and affordable pricing. However, the final recommendation will depend on the specific needs and budget of each organization.	en_US
dc.language.iso	en	en_US
dc.publisher	[Giant Horse Int. American University of Nigeria]	en_US
dc.relation.ispartofseries	American University of Nigeria, 1st International Conference Proceeding;
dc.title	The Assessment of Business Intelligence Tools and Review of its Evaluations	en_US
dc.type	Article	en_US