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DC Field | Value | Language |
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dc.contributor.author | Parikh, Darshini | - |
dc.date.accessioned | 2017-07-26T09:36:05Z | - |
dc.date.available | 2017-07-26T09:36:05Z | - |
dc.date.issued | 2017-05 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/7617 | - |
dc.description.abstract | Data oriented decisions are the cornerstone of successful project management. Project Managers require real time, qualitative and quantitative data to provide the necessary thrust to the project and ensure deliver-ables are tracked and delivered correctly on time. To achieve this, raw data should be made available in a form that is easy to read and interpret. The intent of this project is to make data available in a form that would provide quick insights in the current status of the project. Technical Indicators provide raw data in a graphical format that helps us provide the required business acumen and achieve the level of quality and efficiency required for our products. These indicators serve as a key source for decision making from project managers to business leaders and helps identify new opportunities and reduce the time to market thus resulting in greater ROI. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 15MCEI19; | - |
dc.subject | Computer 2017 | en_US |
dc.subject | Project Report 2017 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 15MCEI | en_US |
dc.subject | 15MCEI19 | en_US |
dc.subject | INS | en_US |
dc.subject | INS 2017 | en_US |
dc.subject | CE (INS) | en_US |
dc.title | Data Driven Decision Making using Technical Indicators | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
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15MCEI19.pdf | 15MCEI19 | 11.15 MB | Adobe PDF | ![]() View/Open |
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