| dc.contributor.author | Chhina, Ramneet | |
| dc.description.abstract | Business Intelligence (BI) is extremely vital for organizations for delivering useful information from the large volumes of data being collected. There are many BI tools available but no single tool is appropriate for every user’s need. Project needs can differ within and across organizations so a process is needed to determine the right tools to use. If companies end up with the wrong tool their needs and problems are not addressed. This research evaluates five tools from the Microsoft BI stack using an application that has been developed and recommends the best tool to use. The tool recommended depends on the BI style most desired. It also depends on the skill of the users using the tool. The application guides a team in comparing and selecting the correct tool. This is a start towards developing a full-fledged application that can be used across platforms in finding the right tools. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU Policy 190.6.2 | |
| dc.title | Recommendation of Business Intelligence Tool | en_US |
| dc.type | Master's paper | en_US |
| dc.date.accessioned | 2016-05-06T22:06:52Z | |
| dc.date.available | 2016-05-06T22:06:52Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://hdl.handle.net/10365/25586 | |
| dc.subject.lcsh | Microsoft software. | en_US |
| dc.subject.lcsh | Business intelligence -- Evaluation. | en_US |
| dc.subject.lcsh | Business intelligence -- Data processing. | en_US |
| dc.subject.lcsh | Business intelligence -- Computer programs. | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Computer Science | en_US |
| ndsu.program | Software Engineering | en_US |
| ndsu.advisor | Nygard, Kendall | |
