Answer To: Microsoft Word - Assessment03 Student Guidelines Assessment 3 Pixystems Toys Project Due: 13 October...
Sudhanshu answered on Jan 23 2021
Pixystems Toy manufacturing Company Report
Pixystems toy manufacturing company report
Introduction:
Pixystems is one of the leading toy manufacturing company. It has various stores around the various corners of world. It has various units like payment, inventory and so on .Many employees work for the company .But due to some reason the outflow of money from the company is way more higher and thus we have a data analysis for the data provided by using the software called tableau .Here we have tried to analyse the data given us by the company and thus the cases of defaulters have been traced.
We try to look the various aspects of the data one by one. We try to make the interactive visualisations using tableau which describes the distribution of payments, stocks etc. further attempts has been made to obtain the distribution for separate medical plans and saving plans.
The interactive visualizations can be obtained upon the tableau public link given here:
Link
https://public.tableau.com/profile/augustine8367#!/vizhome/oder_89_1_15783038949160/Dashboard1?publish=yes
What the data says…
We first of all try to analyse what data has been given to us and how they are going to serve the purpose for us.
The data set contains various sheets namely Customer, Employee, Finished Goods On-Hand, Formulas, Inventory Count, Inventory Adjustments, Invoice, Location, Medical Plan, Payment, Payroll, Purchase Order, Raw Materials On-hand, Receipt, Sales, Savings Plan, Vendor, Product Master.
The sheets customer is related with customer’s details and the purchase they had on the given corresponding dates. While we have many sheets related to the data about the inventory of the company the sheets some of them even give the detail of the raw material content in hand and some give the count of the final product in hand. However there are various other factors which also give the details about the discrepancy found and we would defiantly try to find the insights of them. However we also have the details of the receipts and the invoice generated which helps us out to trace any issue in the related with the payment of the employee. We also have the sheets which give us the description of the related fields like one of them gives the employees working and some give the details of the saving and medical plans.
What to ignore and why…
Before we proceed forward we have to be sure that what sheets are important to us and which can be ignored and should not be carried forward for the data analysis and visualisation.
The sheets like medical customer, medical plans can, saving plans can be straight forward eliminate as there are just the subjective data types and are no way going to effect the profit or loss of company. As no company is interested to know the names of the names of the customers and it’s going to make any sense either “Sam” buys the product or “Michel”. Another thing to be kept in mind is that the type of medical plans or saving plans, well who cares either plan “A” is the more superior one or plan “B” .one may be interested in the distribution of the plans not in their subjective issues. Again in the vendors sheet we do not anything except the subjective information about the vendors having unique vendor ID definitely every vendor is simply a vendor id to the company so knowing their contact number or e mail id is no way of any use.
Let us now deal with the visualizations and their interpretations one by one
This first dashboard in the tableau workbook contains the details about the type of the toys manufactured by the company. The company produces various types of the toys like Sally Doll, Brenda Doll, Lacy Doll, Red car, Blue car, Purple car, Soccer Video Game, racing Video Game, Military Video Game, Video Game, pink scoters, black scooters and so on.
Now one would be the most interested in their distribution of sales and more than that their distributions in making money. And the quantity of them present in hand at that time would also be a good add on the data. Here the bar chart gives the selling collection obtained from each of the type of toy. Clearly the black scooter seems to the most famous among the kids even the red cars seem in high demand on the other hand lacy dolls seems to have less profit making to the company.
The shades of yellow are for indication of the quantity of them clearly the red car has the highest quantity. Another remarking factor is that the low quantity of yellow scooters. Clearly the price of it is too high.
Now we proceed forward for the visualization
There are three bars in each group one in orange gives the quantity expected in inventory why the one in blue gives the quantity of the observed inventory the one in purple gives the difference of the two it is clearly visible that the difference is really very low in each of the categories especially the case of the location counter and approval all the cases it is too less
There is a discrepancy observed which cannot be ignored.
So this visualisation clearly indicates that Shanghai is a plant where we have a large amount of raw materials the difference of the observed and expected is larger in the Shanghai plant so obviously there is a requirement of the setup of a committee which can detect the losses occurring there.
This is another very important visualisation this visualisation give the distribution of the salaries obtained by various employees here we have employee at x axis and their corresponding salaries on y-axis the one in purple or red are the ones who get the salary on monthly or half monthly basis one in green other one who get hourly income it is clearly visible that the one who are getting regular salaries are paid way more higher than those who worked hourly another thing to be kept in mind is that yeah we have a long tail of the one who work hourly and only a few guys who are more than a lot paid amount is also given that is 633608.
Here we have the total cells versus the total pay on employee clearly the total pay on employee is higher than the total sales of the company.
This is another important visualisation which gives the distribution to payment for various job categories it is clearly visible that the sales representative is paid very high than any other categories on the other hand the one like DC supervisor TC line worker executive assistants are paid really low the chief executive officer chief financial Officer Chief operating officer are paid also higher it can be clearly observed that there is a huge difference in the...