Difference between revisions of "ANLY482 AY2017-18T2 Group 32"

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[[ANLY482_AY2017-18T2_Group_32| <font color="#262626" size=2><b>Home</b></font>]]
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[[ANLY482_AY2017-18T2_Group_32 : About Us | <font color="#262626" size=2><b>About Us</b></font>]]
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[[ANLY482 AY2017-18T2 Group32 : Project Overview | <font color="#262626" size=2><b>Project Overview</b></font>]]
 
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[[ANLY482_AY2017-18T2_Group_32 : Project Findings | <font color="#262626" size=2><b>Project Findings</b></font>]]
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[[ANLY482 AY2017-18 Term 2 | <font color="#262626" size=2><b>ANLY482 AY2017-18 Main Page</b></font>]]
 
[[ANLY482 AY2017-18 Term 2 | <font color="#262626" size=2><b>ANLY482 AY2017-18 Main Page</b></font>]]

Latest revision as of 15:17, 16 April 2018

Pharma G Logo.png

Home

About Us

Project Overview

Project Findings

Project Management

Documentation

ANLY482 AY2017-18 Main Page


Abstract

Pharma G is among the world's leading pharmaceutical firms manufacturing products for illnesses such as asthma, infections epilepsy and bipolar disorder in the form of medicines, vaccines and other various consumer health products.

With close to 100 brands of different medications under their belt and clients from the various medical sectors, it is an enormous challenge for anyone to monitor the performance of the sales of these products. Our sponsor wishes to be able to view and analyze the performance of her sales teams in order to provide a succinct business report to upper management.

Hence, this project aims to help the business better understand how the business has performed using an interactive data visualization dashboard.

Project Status

Overall Project Completion Status:

100% completed (estimate)

   


Project Deliverables:

Date Items
25 Dec 2017 Sponsor Confirmation
14 Jan 2018 Project Proposal
25 Feb 2018 Interim Practicum Report & Presentation Slides
14 Mar 2018 Undergraduate Seninar on Data Analytics (USDA) Paper - Abstract
09 Apr 2018 USDA Poster and Paper - Full
12-13 Apr 2018 USDA Presentation & Poster Night
22 Apr 2018 Final Submission Data Analytics Paper and Presentation