IR @ Nirma University
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http://10.1.7.192:80/jspui/handle/123456789/4112Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bharani, Madhavi | - |
| dc.date.accessioned | 2013-11-28T11:56:03Z | - |
| dc.date.available | 2013-11-28T11:56:03Z | - |
| dc.date.issued | 2013-06-01 | - |
| dc.identifier.uri | http://10.1.7.181:1900/jspui/123456789/4112 | - |
| dc.description.abstract | Business Intelligence (BI) is a way to help organization to take better business related decisions. These decisions can be based on the current or historical data that is present in the data ware house. Since Business Intelligence aims to support better decision making capability in business, a BI system is also termed as a decision support system (DSS). The objective is to improve the timeliness and quality of inputs to the decision process. This report describes different tools such as SQL Server Reporting Service (SSRS), SQL Server Integration Service (SSIS), SQL Server Analysis Service (SSAS) and Power Pivot to generate indicators for the organization. It also includes query optimization that is done in order to improve the processing time of the indicators. | en_US |
| dc.publisher | Institute of Technology | en_US |
| dc.relation.ispartofseries | 11MCEC28 | en_US |
| dc.subject | Computer 2011 | en_US |
| dc.subject | Project Report 2011 | en_US |
| dc.subject | Computer Project Report | en_US |
| dc.subject | Project Report | en_US |
| dc.subject | 11MCE | en_US |
| dc.subject | 11MCEC | en_US |
| dc.subject | 11MCEC28 | en_US |
| dc.subject | Online Processing | en_US |
| dc.subject | SSRS | en_US |
| dc.subject | SSIS | en_US |
| dc.subject | SSAS | en_US |
| dc.subject | Query Optimization | en_US |
| dc.title | Decision Support Using Online Analytical Processing (OLAP) for Management Strategies | en_US |
| dc.type | Dissertation | en_US |
| Appears in Collections: | Dissertation, CE | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 11MCEC28.pdf | 11MCEC28 | 3.32 MB | Adobe PDF |  View/Open |
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