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Assessment Task 2 Research Project Code: ICT706 Title: Data Analytics ICT 706 Data Analytics Assessment Task 2: Research Project Goal: To undertake a data analytics approach to solve a set of business...

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    Assessment Task 2 Research Project
Code: ICT706
Title: Data Analytics
ICT 706 Data Analytics Assessment Task 2: Research Project
    Goal:
    To undertake a data analytics approach to solve a set of business problems that require the use of appropriately selected data processing and mining approaches.
    Product:
    Case Study Report
    Format:
    ReportQuestion
Note:This is an individual assessment. The assessment will report the set of business problems, data required, and data mining tools selected to solve the selected problems. You are required to create the dataset required to solve the business problem.
You are required to write a report for a business case study. The case study requires you to investigate solutions for key business problems. You have to assume that you are performing a data scientist role in a commercial technology innovation organisation. You are required to use classification techniques to provide decision support and recommendations to the executives in the organisation.
.
    Criteria
    · Identify the salient points associated with a digital disruption event in a company of your choosing.
· Provide recommendations and an implementation plan to help the company cope with the event
    Generic skill assessed
    Skill assessment level
    Communication    Graduate
    Problem solving    Graduate
    Applying technologies    Graduate
    Task No.
    Assessment Tasks
    Individual or Group
    Weighting
%
    What is the duration / length?
    When should I submit?
    Where should I submit it?
    Hurdle
Task
    1
    Case Study Report
    Individual    30%
    2000 words
    Week 12
    BlackBoard
    No
Case Study
You are working as a Data Scientist in an ecommerce company. The company is a market leader with range of product segments. The main product segments are latest gadgets, books, toys, household items and clothes.
However, the company’s performance especially its profitability is decreasing due to increased competition and changing customer expectations. The company has well qualified board of directors who believe in the power of data analytics in solving business problems and thus make important business decisions. Due to your data analytics skills and data science capability, the company executives have given you a special task in analysing the company’s sales data for each product segment and each geographic region. The executives have requested you the following:
1. Develop the dataset for at least one product segment with at least 1000 records and with attributes such as
· product name,
· product price,
· shipping type (free or customer paid)
· monthly sales ($)
· geographic region
· No. Of customers who bought the product,
· Customer type (New or existing)
You are also allowed to add any more attributes to describe product segment
Note:You must develop your own unique and original dataset - copying a dataset from another student or from the internet will result in reduced or zero marks.
2. Research any specific data mining or classification technique and propose a suitable technique or model to determine any association or relationships among the attributes.
3. Develop a predictive model to predict monthly sales for a given geographic region. You can use any of the methods such as Naive Bayes, decision trees or linear regression. You are also welcome to do a comparative analysis of all the methods you come across in your research and use the comparative analysis to justify your approach and research findings.
4. Based on your analysis, present recommendations to the board for the following business problems:
· What is the most likely geographic region to target new customers to increase sales and profit?
· Which products should be prioritised for increase in sales?
· What will be impact on product sales if free shipping is provided to all products?
· Any new innovative ideas to improve company’s profitability supported by your data analytics.
Proposed Report Structure
The report should be structured using the following headings (2000 words)
1. Executive Summary
2. Table of Contents
3. List of A
eviations and assumptions made
4. Introduction – What is the problem?
5. Research Methodology
6. Analytical Findings
7. Recommendations to the company
8. An implementation plan based on the recommendations you have provided
9. Conclusions
10. List of References
11. Appendix (E.g. Python code)
Note:
· You must submit your sample data as a CSV file.
· If you use Python code to analyse their data and draw graphs, then you must include all that code in the Appendix.
Marking Guide
Student Name
Assessment 1 ICT706 weighting 25%
Assessment Criteria:
To write a report outlining the changes that have occu
ed in a business due to digital innovation using a work cantered analysis approach.
    Criteria
    Comments
    Possible Mark
    Mark awarded
    Executive Summary: (1 page)
    
    1
    
    1.    Background. You must be
ief and to the point (about 1 page). Use your own words – you mustn’t just reproduce the case here.
    
    2
    
    2.     Introduction – Articulate the problem space.
    
    2
    
    3. Assessment of the various data analytical methods Based on your analysis of various analytics approaches, justify your approach and especially discuss how your findings can
ing innovative solutions to the business problems. Your assessment must be supported by concepts and other material from the literature (text, readings, evidence etc.).
    
    4
    
    4. Good use of Python to develop a predictive model of monthly sales
    
    4
    
    5. Recommendations. Provide recommendations on how your approach can answer the business problems. You must convince company executives to adopt your recommendations (i.e. ‘sell’ them to management).
You should support your recommendations by plotting graphs and using effective diagrams.
    
    5
    
    6. Recommendation Implementation Plan. Your plan for implementing the recommendation (this could include staff training, advertisement campaign design etc.). Again, you must convince management to adopt your implementation plan (i.e. ‘sell’ it to them).
    
    5
    
    7. Conclusions
    
    3
    
    8. References. At the end of your report, you must provide a list of all cited references (using co
ect Harvard referencing style) (at least 5).
    
    2
    
    9. Presentation. Grammar, punctuation, expression and presentation must be of a high standard.
    
    2
    
    TOTAL
    30
    
Answered Same Day May 27, 2020

Solution

Vidhi answered on Jun 01 2020
135 Votes
ICT 706
Data Analytics
Assessment
Task 2: Research Project
EXECUTIVE SUMMARY
We downloaded the data from a dataset sits on population in data set have many attributes like country, product price, product name, shipping type, monthly sale, geographic regions, no .of customers, customer Type and so on. We have analysed the data to differents questions. This is fundamental on the grounds that investigation help people in deciding. Consequently, directing the investigation to create the best outcomes for the choices to be made is an imperative piece of the procedure, as is suitably introducing the outcomes.
This report hopes to cover the inventive edges that could impact the execution of an electronic business association. A credible game plan will be prescribed by the data scientist to ensure that the association will accomplish achievement as it had previously. The SWOT examination strategy will be utilized to accumulate robust data about the affiliation. Despite what might be ordinary, subjective information examination methodology will be used to think about all around about the present business activities of the membership and the conceivable plans. Suggestions can be given to the relationship to connect free transporting choices for the buyers. Additionally, dangerous showing methodology can be utilized to propel the thing in a way client envision that it's less asking to search for on web business objectives. This is to finish up from research and disclosures that it is fundamental to welcome the repeating design condition of the business relationship before executing a web business game-plan. The sales of clients can likewise portray the courses of action.
Table of Content
Executive Summary……………………………………………………………………….2
Table of Content……………………………………………………………………………2
List of A
eviations and Assumptions……………………………………………….3
Introduction…………………………………………………………………………………..6
Research and Methodology…..………………………………………………………….6
Analytical Finding……………………………………………………………….…………7
Recommendation of the company……………………………………………………..8
Appendix…………………………………………………………………………………….9
Conclusion………………………………………………………………………………….9
References………………………………………………………………………………….10
LIST OF ABBREVIATIONS AND ASSUMPTIONS MADE
We downloaded the data from a dataset sits on population in data set have many attributes like country, product price, product name, shipping type, monthly sale, geographic regions, no .of customers, customer Type and so on. We have analysed the data to differents questions. This is fundamental on the grounds that investigation help people in deciding. Consequently, directing the investigation to create the best outcomes for the choices to be made is an imperative piece of the procedure, as is suitably introducing the outcomes.
Data analysis is the way toward finding designs in substantial informational collections including strategies at the crossing point of machine learning, insights, and database frameworks. It is a fundamental procedure where insightful techniques are connected to remove information patterns .It is an interdisciplinary subfield of PC science .The general objective of the information mining process is to separate data from an informational index and change it into a reasonable structure for additionally utilize. Beside the crude investigation step, it includes database and information administration perspectives, information pre-preparing, model and induction contemplations, intriguing quality measurements, intricacy contemplations, post-handling of found structures, representation, and online updating.
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