B8IT154 Platforms for Data Analytics Continuous Assessment One | Dublin Business School

B8IT154 CA1

Assignment Goal:

The goal of this assignment is to demonstrate your application of course concepts and achieve the following course learning outcomes:

• Identify common data issues and rectify simple problems, such as data type errors and missing data.
• Apply basic statistical concepts to derive insights from everyday data tasks.
• Use Tableau or Power BI to perform data clean-up, visualizations, and dashboard creation.
• Effectively communicate results using storytelling or other techniques.
• Demonstrate a clear understanding of creating dashboards and reports using Business Intelligence tools.
• Demonstrate a clear understanding of data modelling and data importing.

Assignment Overview:

For CA1, you are required to create TWO dashboards based on real-world cases using either Tableau OR Power BI. The assignment should encompass the processes of Data Understanding, Data Importing, Data Cleaning, Data Processing, Statistical Analysis, Visualization, and Storytelling.

Assignment Specifics:

1. Tools: Use either Tableau or Power BI for this assignment.
2. Data Selection: S elect a dataset from a real-world context, which could pertain to various domains such as Entertainment, Sales, Business, Marketing, Finance, or others.
3. Dashboard Design: Create TWO dashboards that effectively communicate insights derived from the selected dataset. Consider layout, design, visualizations, and interactivity to enhance user experience.

• Each dashboard should consist of 4-5 worksheets/graphs

4. Techniques: Apply techniques such as filtering, DAX operations, creating new fields, and measures to your data visualizations.
5. Report: Prepare a report with a word count between 600-800 words (excluding references) that explains your approach, the dataset used, the insights derived, and how your dashboards address the learning outcomes.

Report Document Template:

1. Cover Page: Assignment title, course details, student name, and student ID.
2. Table of Contents: Clearly list sections with page numbers.
3. Introduction: Briefly introduce the assignment and your approach.
4. Dashboard Descriptions: Explain the design and insights of both dashboards.
5. Report: Present insights derived, relevance to learning outcomes, and how the tools were effectively used.
6. Conclusion: Summarize key points.
7. References: Cite data sources, tools, and references.

Documents For Submission – 1 PDF and 1 ZIP File(Dashboard + Dataset)

1. Dataset
2. Dashboard file : Tableau OR Power BI files. Please compress the dataset and dashboard files and Zip it.
   a. Follow the naming convention:
   b. Tableau Workbook file should be named as – twb.
   c. Power BI workbook file – pbix
   d. Zipped Folder should be named as – zip.

3. Report: Create a pdf document : CA1_Report_FirstName_Surname.pdf

Grading Rubrics:

Please follow this link to the Harvard Style Referencing Guide – all referencing is required in this forma:  DBS

Note: Ensure that your submission adheres to the provided format, addresses the assignment specifics, and meets the grading rubrics. Good luck with your assignment!

Generative Artificial Intelligence Assessment Scale

Can generative AI be utilised in this assignment?

No AI content is allowed in the final submission

General Requirements for Students:

1. All assignments must be submitted no later than the stated deadline (date and time).
2. Assignments submitted after the latest deadline specified (including any approved extension deadline) are considered late and penalised according to the Quality Assurance Handbook (QAH) Part B Section 5.2.2.6 as follows:
   a. A penalty of 2 marks will be applied per day or part thereof (including weekends and public holidays) for an ongoing failure to submit beyond the submission deadline.
   b. An examiner has the right to refuse to mark the assignment if the submission instructions have not been observed.
   c. Where a late assessment is submitted within 14 days of the deadline, and is of a passing standard, the late penalty is capped (such that the minimum grade that can be awarded is 40% for the late submission).
   d. Where a late assessment is submitted more than 14 days after the deadline, it will receive 0%. The lecturer may, at their discretion, review the submission for feedback.
   e. Where the assessment is undertaken in a group, the piece of work should be submitted in its complete entirety, and any penalty for late submission incurred applies to all group members.
3. Extensions to assignment submission deadlines will not be granted, other than in exceptional circumstances.  To apply for an extension please go to DBS login and open a ticket.
4. All relevant provisions of the Assessment Regulations must be complied with (see QAH B.5).
   a. Students are required to refer to the assessment regulations in their Programme Handbook, and on the Student Website.
   b. Dublin Business School penalises students who engage in academic impropriety (i.e. plagiarism, collusion and/or copying, ghost writing/ essay mills, improper use of Generative Artificial Intelligence software).
   1. Refer to the College’s Generative AI Guidelines HERE for further information.
   c. Guides on referencing are available on the Library website: 
   d. Text-matching analysis software is integrated in Moodle to generate a report regarding the degree of text-matching in a submission.
5. Students are required to retain a copy of each assignment submitted, until the issuing of a transcript indicating the mark awarded and the closure of the Appeal period (2 weeks following the release of final results).
   a. Results can only be appealed following the release of final results, and the Appeal form must be submitted to the Exams Office within the Appeal period.
   b. An appeal must be based on valid grounds (see the Appeals Policy QAH B.3.5), dissatisfaction with a grade is not sufficient grounds for an appeal.
   c. Assignments must be appropriately packaged and presented.
   d. All assignments should be submitted to your subject/course page on Moodle by the deadline date.
   e. Where a submission involves digital media (i.e. formats other than Word, PowerPoint or PDF), it is the submitting students’ responsibility to ensure the media is appropriately labelled, fully working and they must retain a copy.
   f. Components of an assessment which are not included in the final submission cannot normally be subsequently accepted for grading. It is the student’s responsibility to ensure their file is uploaded correctly.
   g. Include an electronic cover sheet with the following details to the front of the assignment (see below)
6. Assignments that breach the word count requirements will be penalised. There is a 10% discretion, either way, applicable in terms of word count.
7. When you submit your assignment, you will be asked to click on a button which will declare the following:

By ticking this box, I am confirming that this assignment/exam is all my own work. Any sources used have been referenced.
I have read the College rules regarding plagiarism in the QAH Part B Section 3 and understand that penalties will be applied accordingly if work is found not to be my own. All work uploaded is submitted via Ouriginal, whereby a text-matching report will show any similarities with other texts.

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