Difference between revisions of "ANLY482 AY2016-17 T2 Group19"
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[[ANLY482_AY2016-17_T2_Group19|<font color="#a1212e"><b>OVERVIEW</b></font>]] | [[ANLY482_AY2016-17_T2_Group19|<font color="#a1212e"><b>OVERVIEW</b></font>]] | ||
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[[ANLY482_AY2016-17_T2_Group19_Data| <font color="#000000"><b>DATA</b></font>]] | [[ANLY482_AY2016-17_T2_Group19_Data| <font color="#000000"><b>DATA</b></font>]] | ||
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[[ANLY482_AY2016-17_T2_Group19_Methodology|<font color="#000000"><b>METHODOLOGY & ANALYSIS</b></font>]] | [[ANLY482_AY2016-17_T2_Group19_Methodology|<font color="#000000"><b>METHODOLOGY & ANALYSIS</b></font>]] | ||
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[[File:Protegemaster-03.svg|40px|link= ANLY482_AY2016-17_T2_Group19_Findings ]] | [[File:Protegemaster-03.svg|40px|link= ANLY482_AY2016-17_T2_Group19_Findings ]] | ||
[[ANLY482_AY2016-17_T2_Group19_Findings| <font color="#000000"><b>FINDINGS</b></font>]] | [[ANLY482_AY2016-17_T2_Group19_Findings| <font color="#000000"><b>FINDINGS</b></font>]] | ||
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[[ANLY482_AY2016-17_T2_Group19_Documentation| <font color="#000000"><b>DOCUMENTATION</b></font>]] | [[ANLY482_AY2016-17_T2_Group19_Documentation| <font color="#000000"><b>DOCUMENTATION</b></font>]] | ||
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[[ANLY482_AY2016-17_Term_2| <font color="#000000"><b>BACK TO COURSE</b></font>]] | [[ANLY482_AY2016-17_Term_2| <font color="#000000"><b>BACK TO COURSE</b></font>]] | ||
Revision as of 15:12, 27 February 2017
Contents
Members
Project Background
Company Z is a medium-sized pharmaceutical product distributor and wholesaler in Singapore who caters to various healthcare institutes and clinics. Effective management of the supply chain and sales strategies is particularly important for Company Z as it deals primarily with large volume and high-value products at a rapid pace. Hence, even the smallest miscalculation in strategic management would result in significant losses. That said, there is huge potential for insights from the wealth of information that can be found in the sales data.
Motivation & Objective
Insights generated with contextual knowledge reinforced by managerial experience and the understanding of the industry/business would ensure tangible positive impacts. While supply chain management is an area with great potential for the application of big data analytics, few firms have fully embraced it in the region. As analytics is increasingly adopted by organisations, it is our aim to apply big data analytics to an established pharmaceutical organisation’s wholesaling and distribution practices, thereby observing the benefits gained and learning more about the challenges faced in maintaining an effective and efficient supply chain. The objective of this project is to create value through the use of Sales data analytics to improve operational efficiency, reduce unnecessary losses and ultimately enhance profitability.
Progress Dashboard
Status: Preparing for interim presentation
Timeline with Process Flow
Current Week: 8
Ongoing Tasks: Further Research of Industry Practices and Trends, Dashboard Planning & Development
