Kijiji Tutors

ve analytics solutions for a Company.

******The objective is to analyze the given datasets from a relevant firm’s perspective in terms of implications and strategies which the chosen company could adopt to improve its functions, resources and processes efficiently and effectively.********

You are expected to work in groups to find a dataset with minimum of 10,000 rows from publicly available sources. You also need to hypothetically identify a company (chosen company) who could get benefits from the analysis of the dataset. You are expected to discuss the selected dataset with your tutor in labs by Week 7. Please click on the sources below to access some option to obtain open data:


1. World Bank Open Data

2. WHO (World Health Organization) — Open data repository

3. Google Public Data Explorer

4. Registry of Open Data on AWS (RODA)

5. European Union Open Data Portal

6. FiveThirtyEight

7. U.S. Census Bureau


9. UNICEF Dataset

10. DBpedia

11. freeCodeCamp Open Data 12. Australian Govt Data

Your task is to complete the following tasks:

Write a description of the selected dataset and project, and its importance for your chosen company. Information must be appropriately referenced. [1 Page]

Task 1- Background information

Upload the selected dataset on SAP Predictive Analysis. For your dataset,

Task 2 – Perform Data Mining on data view

Page 1 of 5

perform the relevant data analysis tasks on data uploaded using data

mining techniques such

series/clustering and identify the BI reporting solution and/or dashboards you need to develop for the operational manager of the chosen company. [2-3 Pages]

as classification/association/time

Justify why you chose those BI reporting solution/dashboards/data min- ing technique in Task 3 and why those data sets attributes are present and laid out in the fashion you proposed (feel free to include all other rel- evant justifications).

Task 3 – Research

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 from Task 3. [1-2 Pages]

Task 4 – Recommendations for CEO

The CEO of the chosen company would like to improve their operations. Based on your BI analysis and the insights gained from your “Dataset” in the lights of analysis performed in previous tasks, make some logical recommendations to the CEO, and justify why/how your proposal could assist in achieving operational/strategic objectives with the help of appropriate references from peer-reviewed sources. [2-3 Pages].

Task 5 – Cover letter

Write a cover letter to the CEO of the chosen firm with the important data insights and recommendations to achieve operational/strategic objectives [1 page]

Other Tasks –

Please refer to the marking scheme at the end of the assignment for other tasks and expectations.

Report Submission:

  • A maximum of 3 people in a group.
  • Check your assignment for plagiarism in turnitin software. Please attach a turnitin report along with your assignment. An assignment without a turnitin report will not be accepted.

    Submit a hard-copy to tutors/lecturers assignment box in week 10. Double- sided printing for the hard-copy is encouraged in order to save paper.

    submit a 9-10 pages report (about 3000 words) not counting Page 2 of 5

    cover page, references and Appendix) of this project. At least 5 references 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.

  • Please note that all references must adhere to APA style. See and for details on how to format a report and how to cite references. Make sure your follow a formal report structure with cover page, introduction, use of headings, subheadings, conclusion sand reference section.
  • Leave a Reply

    Your email address will not be published. Required fields are marked *