BSD131: Assessment Task 2
BSD131: Assessment Task 2
Task overview
Assessment name: Business analytics research plan
Task description: For this assessment, you will write a business analytics research plan. You will apply your understanding of business analytics methods and models to a simulated consulting project. Further, you will analyse information to identify business problems and communicate the analytical approaches and methods of data collection required to provide potential solutions.
Due date: Week 9, Friday at 11.59pm (Brisbane time).
Length: 1600 words (word length excludes in-text referencing and your reference list)
Weighting: 35%
Individual/Group: Individual
Formative/Summative: Summative
Assessment and feedback: Grading scale using a rubric
Task details
What you need to do: You will complete the steps below.
Step 1: Preliminary research
Familiarise yourself with the following materials to be found on Blackboard
Case study and task background
Dataset from marketing research firm
Data dictionary
CRISP-DM framework
Step 2: Individual business analytics research plan
Develop an individual business analytics research plan. Your plan should consider the stages from the CRISP-DM framework and be presented in four parts:
Business background
Data understanding
Modelling approach
Capability
Learning outcomes measured: Learning outcome 1: Apply a selection of methods to collect, aggregate and process business data from multiple sources.
Learning outcome 2: Present data and analysis results in effective forms to assist business decision making in a variety of industrial and organisational contexts.
Learning outcome 3: Critically analyse data using a variety of methods and approaches to generate business insights and inform business decision making.
BSD131| Applied business analytics: Assessment Task 2 RubricTotal Weighting: 35%
Criteria High Distinction
(7) Distinction
(6) Credit
(5) Pass
(4) Marginal Fail
(3) Fail
(2) Low Fail
(1) No Evidence
Analysis using CRISP-DM framework
Weighting: 15% The business analytics (BA) research plan demonstrates excellent application and excellent understanding of key components of the CRISP-DM framework with all aspects addressed appropriately. The BA research plan demonstrates thorough application and thorough understanding of key components of the CRISPDM framework with all aspects covered. The BA research plan demonstrates comprehensive application and comprehensive understanding of key components of the CRISPDM framework with most aspects covered sufficiently. The business analytics (BA) research plan demonstrates general application and general understanding of key components of the CRISP-DM framework with most aspects covered although some gaps exist. The business analytics (BA) research plan demonstrates only a vague application and understanding of key components of the CRISPDM framework. The business analytics (BA) research plan demonstrates very limited application and understanding of key components of the CRISPDM framework. The business analytics (BA) research plan fails to demonstrate application and understanding of key components of the CRISPDM framework. Diagnosis of business problems (issues, situations) and expected outcomes (values)
Weighting: 20% The BA research plan provides excellent and comprehensive descriptions of business problems and expected outcomes of proposed analytics activities. The BA research plan provides thorough descriptions of business problems and expected outcomes of proposed analytics activities. The BA research plan provides comprehensive descriptions of business problems and generally expected outcomes of proposed analytics activities. The BA research plan provides general descriptions of business problems and generally expected outcomes of proposed analytics activities, although there is room for improvement in specifics. The BA research plan provides vague descriptions of business problems and vague expected outcomes of proposed analytics activities. The BA research plan provides limited descriptions of business problems and vague expected outcomes of proposed analytics activities. The BA research plan fails to provide descriptions of business problems and vague expected outcomes of proposed analytics activities. Articulation of analytical/modelling questions, data collection and analysis, methods (models), and valuation
Weighting: 50% The BA research plan articulates highly appropriate modelling questions that help address the defined business problems.
The BA research plan presents comprehensive discussions of approaches to collect and analyse data that can be applied into the modelling questions The BA research plan articulates appropriate modelling questions that help address the defined business problems.
The BA research plan presents thorough discussions of approaches to collect and analyse data that can be applied into the modelling questions The BA research plan articulates appropriate modelling questions that help address the defined business problems.
The BA research plan presents a general discussion of approaches to collect and analyse data that can be applied into the modelling questions The BA research plan articulates general modelling questions that help address the defined business problems.
The BA research plan presents a general discussion of approaches to collect and analyse data that can be applied into the modelling questions. The BA research plan vaguely articulates modelling questions that help address the defined business problems.
The BA research plan fails to present a discussion of approaches to collect and analyse data that can be applied into the modelling questions. The BA research plan presents limited modelling questions that help address the defined business problems.
The BA research plan fails to present a discussion of approaches to collect and analyse data that can be applied into the modelling questions. The BA research plan fails to present modelling questions that help address the defined business problems.
The BA research plan fails to present a discussion of approaches to collect and analyse data that can be applied into the modelling questions. Professional written communication
Weighting: 15% The work consistently adheres to all conventions of thereport genre The work adheres to the main conventions of the report genre The work adheres in general to the conventions of the report genre The work shows awareness of conventions of the report genre The work exhibits few of the conventions of the report genre The work exhibits limited conventions of the report genre The work does not follow the conventions of the report genre Thorough proofreading is evident: there are very few errors of spelling,punctuationor grammar. Strong proofreading is evident: work is relatively free of errors in spelling,punctuationorgrammar. Adequate proofreading is evident: there are few errors in spelling,punctuationor grammar. Some proofreading is evident: errors in spelling, punctuation and grammar occasionally affect readability. Proofreading is inadequate: multiple errors in spelling, punctuation and grammaraffect readability. Proofreading is inadequate: consistent errors in spelling, punctuation and grammaraffect readability. Proofreading is inadequate: consistent errors in spelling, punctuation and grammarthroughout. Language isconsistently academic,clearand fluent Language is mostly academic,clearand fluent Language is mostlyacademic but lacks clarity Language issometimes academic but lacks clarity Language is limited and lacks clarity Language is very limited and lacks clarity Language is very limited and unclear APA referencing conventions are accurately followed with very minor errors APA referencing conventions are accurately followed with minor errors APA referencing conventions are accurately followed with occasional errors APA referencing conventions are generally accurate APA referencing conventions are poorly applied Very few APA referencing conventions are applied No attempt to apply APA referencing conventions
Cover page
Include:
Student ID
Student name
Unit code and name
Assessment name
Date
Executive summary
100 - 200 words (not included in the 1600 word count).
This is a brief summary of all 4 main sections in the report.
Table of contents
Include headings and page numbers.
Business understanding
Brief description of Suncorp (summary / key info only, don't copy and paste from the case .study and you can include any relevant research on Suncorp or the banking industry).
Identify key business questions / problems / issues that Suncorp wants or needs to solve.
Data understanding
Include a description of the data that you have for your analysis to answer thebusiness questions identified above.
Describe what the data is (you can summarise the variable description table inthe case study outline).
Describe the data quality and if there is any missing data that you need to answerthe business questions above.
What assumptions are you making if any?
Modelling
Include descriptive statistics and analytics on the types of loan customers.
Ideas for areas of focus:
descriptive analytics to identify patterns, trends, and causal indicators.
which factors are important to consider when deciding to approve / refuse a loan?
use visualisations / pivot tables and pivot charts to support your analysis overall we are expecting around 6 to 10 charts with a discussion included in the modelling section.
Evaluation and findings
Evaluate your models.
Discuss your key findings and recommendations from your modelling.
What should Suncorp do? What actions do you recommend they take?
Do they need to collect any more information in order to understand decision making around accepting / refusing a loan?
Reference list
APA 7 reference list.
Make sure you include in-text citations throughout your report.
You can reference:
lecture notes
case study (based on the web address)
text book (Evans)
any other research sources (e.g. web sites, books, journals, podcasts, etc)
AppendiciesThis is optional.
Put any extra information that doesn't belong in the body of your report here.
