Deakin University – MIS772 – Predictive Analytics Assessment

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An individual report with 500 maximum number of words with assignment title as “MIS772 – Predictive Analytics – Trimester 1 2024 Assessment Task 1 – Report (Analytical) – Individual”

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Description

Task :

Task A: The bank wants to know if there are important differences between customers that become inactive compared to the customers that remain active. Develop appropriate descriptive analytics and visualisations to generate insights for bank managers.

Task B: Develop al least two different classification models that can be used by bank managers to predict which customers are likely to become inactive or not, using appropriate attributes in the dataset. Evaluate the performance of each model, indicating the best predictive model.

  • The dataset, report templates, and additional important notes for this assignment are available on the unit site on CloudDeakin.
  • The dataset is unique to each student:

o open the dataset in Microsoft Excel.

o enter your student number (in the yellow cell on the second worksheet).

o wait until your dataset is generated, and note down your unique key

o this unique key must be entered in your report template for the assignment

o save and close the dataset

o You must NOT make any other modifications to the dataset for this assignment

  • You must use the provided template for your report. Your final report must adhere to page the page limits as only pages within the limits will be marked. It is essential that the executive summary section of your report is written for a non‐technical reader (e.g., a senior manager) and that the remaining parts of the report are written for a technical reader (e.g., a business analyst or data scientist).
  • You must use Altair RapidMiner Studio 10.3 for your analytical process modelling. Refer to the first seminar on how to obtain the relevant educational edition of the software for use in this unit.
  • The consistency of your RapidMiner file(s) will be checked against the results in your report.
  • Failure to follow these specific requirements will result in assessment penalties.

Learning Outcomes

This task allows you to demonstrate your achievement towards the Unit Learning Outcomes (ULOs) which have been aligned to the Deakin Graduate Learning Outcomes (GLOs). Deakin GLOs describe the knowledge and capabilities graduates acquire and can demonstrate on completion of their course. This assessment task is an important tool in determining your achievement of the ULOs. If you do not demonstrate achievement of the ULOs you will not be successful in this unit. You are advised to familiarise yourself with these ULOs and GLOs as they will inform you on what you are expected to demonstrate for successful completion of this unit.

The learning outcomes that are aligned to this assessment task are:

Unit Learning Outcomes (ULOs) Graduate Learning Outcomes (GLOs)
ULO1: Understand and apply key statistical theories and data mining concepts. GLO1: Demonstrate a specialised and integrated understanding of contemporary body of knowledge of business analytics to research, design and implement projects with creativity and initiative.

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