Page 1 of 4 CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 3 2019 ITECH1103- Big Data and Analytics Group Assignment – Semester 3, XXXXXXXXXX (Summer Semester) Weight – 20% Due Date:...

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Page 1 of 4 CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 3 2019 ITECH1103- Big Data and Analytics Group Assignment – Semester 3, 2019-20 (Summer Semester) Weight – 20% Due Date: Analytic Report - Fri, Jan 31, 2020 - 23:59 Analytic Report: Learning Outcomes Assessed: A3, K3, K6, and S2: Purpose: The purpose of this task is to provide students with practical experience in working in teams to write a data analytical report to provide useful insights, pattern and trends in the chosen/given dataset. This activity will give students the opportunity to show innovation and creativity in applying SAS Analytics, and designing useful visualization and predictive solutions for various analytics problems. Project Details: This is a group assignment and you will complete the task with your team. Your team will be made up of at most 3 members who are all enrolled in the same laboratory – the teams will be allocated by your tutor. It is expected that each team member will contribute equally to the project. Your team will use SAS Visual Analytics to explore, analyze and visualize the dataset provided. You will receive feedback on the draft about presentation choices, content, analysis, and style. The aim is to use the data set allocated to provide interesting insights, trends and patterns amongst the data. Your intended audience is the CEO and middle management of a Retail Company. In addition, each individual team member will write a short reflection as part of the report on their individual experience on working on the project. Tasks • Task 1- Background information - Write a description of the dataset and project, and its importance for the organization. Discuss the main benefits of using visual analytics to explore big data. In this you should include a justification for using the visualizations that you will use and how they have been successful in other similar projects. This discussion should be suitable for a general audience. Information must come from at least 6 appropriate sources (2 per student) be appropriately referenced. [2 to 3 pages] • Task 2 – Reporting / Dashboards - For your project, perform the relevant data analysis tasks by answering the guided questions provided (see Appendix for questions and dataset) and, identify the visualization you need to develop. Note: remove any missing data points from your visualizations where possible/suitable • Task 3 – Additional Visualizations - In addition to the guided questions, it is expected that each student will provide at least two other visualizations of the data (i.e. for a group of 3 students this is 6 extra visualizations). These additional visualizations will be judged in terms of quality of the findings and complexity of analysis. These visualizations should be using multi-dimensional, filtering and advance calculation techniques. • Task 4 – Justification -Justify why these visualizations are chosen in Task 2 and 3. Note: To ensure that you discuss this task properly, you must include visual samples of the reports you produce (i.e. the screenshots of the BI report/dashboard must be presented and explained in the written report; use ‘Snipping tool’), and also include any assumptions that you may have made about the analysis in your Task 2 (i.e. the report to the operational team of the company).[1 to 2 pages] • Task 5 – Discussion of findings – using the visualizations created discuss the findings from the data set. In this discussion you should explain what each visualization shows. Then summarize the main findings. [3 to 4 pages] • Task 6 – Executive Summary – summary of the data analysis including a brief introduction, methods used and Page 2 of 4 CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 3 2019 a list of the key findings [1 page only] • Task 7 - The Reflection (Individual Task) - each team member is expected to write a brief reflection about this project in terms of challenges, learning and contribution. [1 to 2 pages] Report Submission: Each member of the group is to submit an electronic copy of the completed group assignment and their own individual reflection via Moodle. The report will be approximately 8 to 12 pages in length (not counting cover page and references). The report will include the following in the order provided below: • A cover page including the names and student id of all team members • Table of Contents • Table of Figures / Tables • Executive Summary • Background • The body of the report including reports, insights, justifications and visuals • Discussion of findings • Conclusion • References • Appendices All references used in your report must be from peer-reviewed sources. Include any and all sources of information including any person(s) you interviewed for this project. Your report should be formatted according to “Assignment Layout and Appearance Guidelines” and your references presented using the APA referencing style; information is available: https://federation.edu.au/library/student-resources/help-with-study-skills2/guides-to-your-assessments You are reminded to read the “Plagiarism” section of the course description. A passing grade will be awarded to assignments adequately addressing all assessment criteria. Higher grades require better quality and more effort. For example, a minimum is set on the wider reading required. A student reading vastly more than this minimum will be better prepared to discuss the issues in depth and consequently their report is likely to be of a higher quality. So before submitting, please read through the assessment criteria very carefully. Page 3 of 4 CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 3 2019 ITECH1103- Big Data and Analytics - Assignment 2- Data Analysis- Report Marking Guide Tasks Marks Awarded Comments 1 – Background of the Project: Description of Project, Datasets and organisation. The importance of project for the organisation. Benefits and examples provided for the use of data visualisation using peer reviewed sources. 10 2 - Dashboard/Reports utilisation of appropriate data analysis tools, visualizations and dashboards developed for the report 30 3 - Additional Visualizations The quality and complexity of additional visualisations provided other than the guided questions. 10 4 - Justification - Each analysis/dashboard and report explanation with relevant research papers, complexity and in- depth of the justification. 5 5 – Discussion of findings - Key data insights, recommendations to achieve organisational objectives with theoretical justifications with proper references. 15 6- Executive summary - Format, key findings and recommendation 10 7 – The Reflection (Individual Task) 10 Presentation of Report - Report is well-written and presented professionally, containing all requirements 10 Total Marks 100 Total Marks out of 20 20% Page 4 of 4 CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 3 2019 Appendix: Data Set and Guided Questions • SAS VIYA – Data set – CUSTOMERS_CLEAN – the latest with over 1000 MB size Guided Questions GROUP TASK: Guided questions to identify the visualizations you need to develop. 1. Create a data dictionary for the data source by the group. 2. How many Customers are in the database? 3. What are top 10 Customers with respect to all countries? 4. What are the top 10 Countries with respect to Total Revenue? 5. What are the top 10 Customers from Australia in terms of Total Revenue? 6. What are the top 5 days with respect to most numbers of orders placed by the customers? 7. What are the top 3 and bottom 3 customers in terms of quantity ordered? 8. Which customer type is most and least popular in terms of quantity ordered? 9. What are the top 5 countries with respect to each customer type? 10. What is the quantity ordered by customer type and continent name? 11. What are the number of customers with the same title? 12. What is the min and max days to deliver in each city? 13. What are the most appropriate predictors of quantity ordered? Hint- use decision tree 14. Create a geomap of the customer countries? 15. Create a cluster analysis on customer type related data. 16. What are the days to delivery for each customer type in each continent? 17. For above question, what are the top 3 customer type in terms of days to delivery? 18. Draw a bubble plot to show the number of orders with respect to days to delivery. 19. What is the correlation between quantity ordered, unit cost and discount in percent? 20. What is the quantity ordered with respect to customer type and unit cost?
Answered Same DayJan 24, 2021ITECH1103

Answer To: Page 1 of 4 CRICOS Provider No. 00103D ITECH 1103 Group Report Semester 3 2019 ITECH1103- Big Data...

Pooja answered on Jan 29 2021
146 Votes
analysis of customer data
Table of Contents
Executive Summary    4
Background information    5
Analysis    6
1)    Data dictionary    6
2) Number of Customers    6
3) Customers and countries    6
4) Country and Revenue    7
5) Customers and total revenue    8
6) days to place and order    9
7) Customer and quantity ordered    10
8) Customer type and quantity ordered    11
9) top 5 countries with respect to each customer type    12
10) customer type and continent by quantity ordered    13
11) Title    14
12) Days of Delivery    14
13) Most efficient predictor of Quantity ordered    15
14) country of customer    16
15) Cluster Analysis for Quantity ordered on basis of Customer Type    16
16) Days to delivery for each continent type by customer ty
pe.    16
17) days to delivery by customer type name    18
18) days to deliver & number of orders by order type    18
19) cost, days to deliver and discount percent    19
20) customer type with unit cost and quantity ordered    19
Discussion of findings    21
2) Number of Customers    21
3) Customers and countries    21
4) Country and Revenue    21
5) Customers and total revenue    21
6) days to place an order    21
7) Customer and quantity ordered    22
8) Customer type and quantity ordered    22
9) top 5 countries with respect to each customer type    22
10) customer type and continent by the quantity ordered    22
11) Title    23
12) Days of Delivery    23
13) Most efficient predictor of Quantity ordered    23
14) country of the customer    23
15) Cluster Analysis for Quantity ordered on basis of Customer Type    23
16) Days to delivery for each continent type by customer type.    23
17) days to delivery by customer type name    23
18) days to deliver & number of orders by order type    24
19) cost, days to deliver and discount percent    24
20) customer type with the unit cost and quantity ordered    24
Other Visualizations    25
Profit    25
Profit and continent    25
Conclusion    27
References    29
Figure 1    5
Figure 2    6
Figure 3    7
Figure 4    8
Figure 5    9
Figure 6    10
Figure 7    11
Figure 8    12
Figure 9    13
Figure 10    13
Figure 11    14
Figure 12    15
Figure 13    15
Figure 14    16
Figure 15    17
Figure 16    17
Figure 17    18
Figure 18    18
Figure 19    19
Table 1    5
Table 2    6
Table 3    6
Table 4    8
Table 5    9
Table 6    9
Table 7    10
Table 8    11
Table 9    12
Table 10    13
Table 11    14
Table 12    17
Executive Summary
The total number of customers is 9,51,669. The top 10 customers considering all countries correspond to customers Antonio, Barbara, Andrea, Alain, Andrew, Ana, Anne, Andreas, Alberto, Anna. The top 10 countries with the highest total of the retail price are the United States, Germany, France, Italy, United Kingdom, Spain, Netherlands, Australia, Belgium, Denmark. Michael and David have a retail price of $8,79,353 and $8,24,643 respectively. The highest number of orders were placed on 28th February 2014, and 19th December 2016. The highest quantity ordered was by customers David, Michael, and John with a value of 10600, 10192, and 10000. The customer type Orion Club Gold members high activity, Orion Club Gold members medium activity, and Orion Club members high activity have the highest Quantity Ordered. For all 5 types of customers, the United States and Germany are included in the top 5 countries. The Orion Club Gold member's high activity gave 258788 orders to Europe. The cities Madrid, London, Paris, and Milano have maximum days of delivery. Cost appears to be the most important predictor of the quantity ordered. The maximum number of customers belongs to the United States. There are 4 clusters created for Customer Type considering Quantity ordered. The days to delivery are the highest by Europe for customer type Internet/Catalog Customers with a total of 161816 days. The top 3 customer types receiving the fastest delivery are Orion Club members low activity, Orion Club Gold members low activity, and Orion Club members medium activity.The maximum number of order types corresponds to retail sales. There is a weak linear relationship between (cost, days to deliver) and (discount percentages, days to deliver). There is a strong positive linear relationship between cost and discount percentage.
Background information
The customer segmentation provides insight into the landscape of the market revealing customer characteristics that can be used to group customers into segments that have something in common. this process is also known as clustering and the techniques used to develop these models are called clustering algorithms.
Visualizations to customer data is applied to give the depth of discovery. Visualizations give basic trends like predictions questions like What if queries and you can adjust, everything hypothetically and visualize all the components of data dynamically for different comparisons.
Analysis
1) Data dictionary
The dataset has 22 columns or variables involved. The categorical variables are City Name, Continent Name, Customer Birth Date, Customer Country, Customer Group Name, Customer ID, Customer Type Name, Customer First name, Customer Last name, Date order was delivered, date order was placed, Order ID, Order Type, Postal code, State name, and Title. The continuous variables are Cost, Days to delivery, Discount in percent of Normal total retail price, Frequency, Profit, Quantity ordered, Retail price, and Frequency percent.
2) Number of Customers
Table 1
    Customer Group Name
    Frequency
    Internet/Catalog Customers
    76,965
    Orion Club Gold members
    4,83,438
    Orion Club members
    3,91,266
    
    Count: 9,51,669
Figure 1
3) Customers and countries
Table 2
    Customer_FirstName
    Frequency
    Antonio
    2,581
    Barbara
    2,480
    Andrea
    2,329
    Alain
    1,921
    Andrew
    1,888
    Ana
    1,731
    Anne
    1,490
    Andreas
    1,485
    Alberto
    1,433
    Anna
    1,380
    Angela
    1,075
    Alan
    1,065
Figure 2
Figure 3
4) Country and Revenue
Table 3
    Customer Country
    Retail Price
    
    $13,31,96,488.48
    United States
    $3,29,01,896.80
    Germany
    $1,97,60,678.03
    France
    $1,47,01,399.68
    Italy
    $1,45,25,623.82
    United Kingdom
    $1,31,75,549.39
    Spain
    $1,22,33,250.16
    Netherlands
    $95,49,237.18
    Australia
    $78,94,103.00
    Belgium
    $31,37,551.64
    Denmark
    $24,62,872.19
Figure 4
5) Customers and total revenue
Table 4
    Customer_FirstName
    Retail Price
    Michael
    $8,79,353.92
    David
    $8,24,643.56
    John
    $7,94,653.59
    Robert
    $6,94,692.47
    Peter
    $6,48,676.25
    James
    $5,76,694.37
    Thomas
    $5,71,126.76
    Paul
    $4,89,962.85
    William
    $4,49,091.91
    Christine
    $4,12,559.50
Figure 5
6) days to place an order
Table 5
    Date Order was placed by Customer
    Frequency
    February 28, 2014
    1,096
    December 19, 2016
    1,003
    December 06, 2016
    998
    December 13, 2016
    931
    December 27, 2016
    926
    December 12, 2016
    914
    December 26, 2016
    912
    December 20, 2016
    899
    December 05, 2016
    884
    December 16, 2016
    876
    December 02, 2016
    872
    November 01, 2016
    857
    August 09, 2016
    855
    July 26, 2016
    854
    December 08, 2016
    853
    December 18, 2016
    849
    July 08, 2014
    843
    December 01, 2016
    839
    December 15, 2016
    836
    December 03, 2016
    835
Figure 6
7) Customer and quantity ordered
Table...
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