Difference between revisions of "ANLY482 AY2016-17 T2 Group19 Data"

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Revision as of 16:21, 9 January 2017


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OVERVIEW DATA METHODOLOGY ANALYSIS FINDINGS POSTER
Data

Background

In the pharmaceutical industry, it has historically been a challenge to manage hundreds of hospitals and clinics with sizeable differences in the types of drugs, disposable items and the sheer volume in respective purchase orders

While not exclusive to this industry alone, managerial decision making processes have historically relied heavily on transactional raw data and managerial experience

The data set that was used contains sales data from a medium-sized pharmaceutical company with customer base ranging from over the counter pharmacies to clinics around Singapore.


Data Description

  1. insert table format of data set, only if not sensitive

Purpose of the model

Given the context of this data set...

Through these model...

Data Exploration

Categorical Data

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-Insert Description of variable and comment on the preparatory work to be done-

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Continuous Data

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-Insert Description of variable and comment on the preparatory work to be done-

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Multicollinearity

-Discuss any overlapping collinearity

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Data Cleaning and Preparation

-insert variable that has been cleaned-
-discuss the treatment and why the treatment-