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dc.contributor.author | Mobin, Ansharah Reg # 28242 | |
dc.contributor.author | Ali, Javaria Reg # 28271 | |
dc.date.accessioned | 2019-07-31T05:49:52Z | |
dc.date.available | 2019-07-31T05:49:52Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | http://hdl.handle.net/123456789/8863 | |
dc.description | Supervised by Engr. Ammarah Khalid | en_US |
dc.description.abstract | The Predict O’Analysis project will provide a visual representation of the economic analysis for the company. It will interact with the records of all economic activities (sales and purchases) occurring at the company. Then by doing a vast analysis on those records, a time-series graph will be made because they are the most canonical representations for the flow of goods either sold or produced. Representing business data as time-series typically help managers to visualize the activity of their business. The Predict O’Analysis will utilize improved technology in the form of software in order to prevent mishaps. The whole software will be integrated into the company’s current IT platforms in order to establish increased way for analysis while allowing all systems and processes to continue without interruption.: | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BSE;MFN 110 | |
dc.title | PREDICT 0’ ANALYSIS | en_US |
dc.type | Thesis | en_US |