ANLY482 AY2017-18 Group9: Project Findings

From Analytics Practicum
Revision as of 17:31, 25 February 2018 by Ljtoh.2014 (talk | contribs)
Jump to navigation Jump to search
Fablogo.png

TeamInsured Home.png   HOME

 

TeamInsured About Icon.png   PROJECT OVERVIEW

 

TeamInsured Findings.png   PROJECT FINDINGS

 

TeamInsured PM.png   PROJECT MANAGEMENT

 

TeamInsured Documentation.png   DOCUMENTATION

 

TeamInsured Documentation.png   MAIN PAGE


Delivery Analysis

TotalDeliveryPerYear.png

As shown in Figure 1, we can identify that the percentage of total delivery in 2016 stood at 46.65% and 53.35% in 2017. In comparison to the percentage of total quantity ordered, 2016 stood at 44.83% and 2017 stood at 55.17% increment. Upon further investigation in our EDA, we realized that it is mainly due to the new outlets open in 2016 and 2017 (Figure 2), which made 2016 data collectively lesser than 2017 dataset.








ListOfNewOutlets.png















ContributionOfnewOutlets.png

As shown in Figure 3, new outlets contributed to 551 (7.84%) increment of delivery counts and 18,439 (7.47%) of quantity counts. While the remaining contribution can be broken down into contributions by various existing outlets as shown in Figure 4 below.












ContributionOfExistingOutlets.png

As shown in Figure 4, we can identify that there are several outlets that had shown total delivery decrement from 2016 to 2017 (i.e. 2017 do less deliveries than 2016). Examples of outlets decrease from 2017 as compared to 2016 are Ang Mo Kio, Bishan and ION Orchard. However, in comparison to the chart on the right regarding contribution of new outlets by quantity, it displayed otherwise. Henceforth we can conclude that although the number of delivery decrease from 2017 as compared to 2016, it does not justify that the order decrease. With that we have decided to focus on the chart on the right which shows contribution of new outlets by quantity.




TimeSeriesAnalysisOnTheQuantityOrderedByOutlet.png

Figure 5 below illustrate the trend analysis on the quantity ordered for Boon Lay MRT outlet and City Square Mall outlet. From the chart, we could identify that the time series trend for the two outlets which shown significant quantity decrement. Henceforth, we have noted and will highlight to our sponsors regarding the outlets business performance for their consideration.










Outlets Analysis

Top15Outlets.png

Figure 6 highlight the top 15 outlets on delivery ordered and quantity ordered. From the chart, we have identified “City Square Mall” as the abnormally with low number of deliveries recorded (rank 13) but high quantity ordered (rank 1). We have drilled down to understand the underlying reason behind it (figure 7)








CitySquareOrderingTrendByCat.png

Figure 6 highlight the top 15 outlets on delivery ordered and quantity ordered. From the chart, we have identified “City Square Mall” as the abnormally with low number of deliveries recorded (rank 13) but high quantity ordered (rank 1). We have drilled down to understand the underlying reason behind it (figure 7)