BSN450 – Business Intelligence Assessment

Criteria and Performance Standards

1. Application of Theoretical and Practical Knowledge (KS 1.2)

Weighting: 10 marks

• High Distinction (100% - 85%)

  • Used the Business Model Canvas and other theoretical frameworks with high accuracy.

  • Incorporated highly appropriate data from reputable sources relevant to the organisation and its context.

• Distinction (84% - 75%)

  • Used the Business Model Canvas and other frameworks with fairly high accuracy.

  • Incorporated appropriate data from mostly reputable sources relevant to the organisation.

• Credit (74% - 65%)

  • Applied frameworks with some accuracy.

  • Incorporated data from some reputable sources relevant to the organisation.

• Pass (64% - 50%)

  • Used frameworks with low accuracy.

  • Incorporated data from sources with low reputability and little relevance.

• Fail (49% - 0%)

  • Frameworks were inaccurately applied or completely absent.

  • No reputable or relevant sources were incorporated.

2. Critical Analysis and Synthesis (HO 2.1)

Weighting: 10 marks

• High Distinction (100% - 85%)

  • Outstanding synthesis of information on the organisation’s business model and environment.

  • Critically analysed how a new data-led strategy could be designed and implemented.

  • Provided very clear identification and strong justification of how data informs the Business Intelligence Plan.

• Distinction (84% - 75%)

  • Good synthesis of information and analysis of business model and environment.

  • Clear identification and good justification of data use in the Business Intelligence Plan.

• Credit (74% - 65%)

  • Synthesised information and described how a new strategy could be designed and implemented.

  • Identified and justified how data informs the Business Intelligence Plan.

• Pass (64% - 50%)

  • Provided only a summary of information with a brief review of strategy design.

  • Offered a broad discussion of how data informs the Business Intelligence Plan.

• Fail (49% - 0%)

  • Information and data insufficiently reviewed or absent.

  • Limited or no identification of data use in the Business Intelligence Plan.

3. Communication Skills (PC 3.1)

Weighting: 10 marks

• High Distinction (100% - 85%)

  • Report presentation is highly professional and follows a very logical structure.

  • Language use is excellent with a clear, coherent, and smooth-flowing narrative.

• Distinction (84% - 75%)

  • Report is professional and logically structured.

  • Language is good with clarity and smooth flow.

• Credit (74% - 65%)

  • Report is mostly professional and fairly logical.

  • Language use is mostly good with some clarity and coherence.

• Pass (64% - 50%)

  • Report has acceptable professionalism and structure.

  • Language and narrative demonstrate acceptable clarity and coherence.

• Fail (49% - 0%)

  • Report is unprofessional and lacks logical structure.

  • Poor language use with no clarity or coherence.

4. Self-Reflection (TS 4.1)

Weighting: 10 marks

• High Distinction (100% - 85%)

  • Highly accurate definition and critical review of personal biases.

  • Assessed business model and social impact orientation effectively.

  • Constructed a well-informed Business Intelligence Plan.

• Distinction (84% - 75%)

  • Accurate definition and somewhat critical review of personal biases.

  • Addressed social impact orientation and business model.

• Credit (74% - 65%)

  • Defined and reviewed personal biases adequately.

  • Considered the business model and social impact orientation.

• Pass (64% - 50%)

  • Only described personal biases.

  • Limited connection to business model and social impact orientation.

• Fail (49% - 0%)

  • Inaccurate or absent discussion of personal biases.

  • Business model and social impact orientation not meaningfully addressed.

Summary of Assessment Requirements

The assessment focuses on preparing a Business Intelligence Plan and is evaluated under four key criteria, each weighted equally at 10 marks (total 40 marks). The requirements are:

1. Application of Theoretical and Practical Knowledge (KS 1.2)

   • Use of Business Model Canvas and relevant theoretical frameworks with accuracy.

   • Integration of appropriate, reputable data sources relevant to the organisation.

2. Critical Analysis and Synthesis (HO 2.1)

   • Critical evaluation of the business model and environment.

   • Designing and justifying a data-led strategy.

   • Demonstrating how data informs the Business Intelligence Plan.

3. Communication Skills (PC 3.1)

   • Professional report presentation and logical structure.

   • Clear, coherent, and fluent use of language.

4. Self-Reflection (TS 4.1)

   • Defining and critically reviewing personal biases.

   • Linking reflection with business model and social impact orientation.

   • Using insights to construct a stronger Business Intelligence Plan.

Academic Mentor’s Step-by-Step Guidance

The mentor guided the student through a structured approach to ensure each assessment criterion was properly addressed:

1. Understanding the Frameworks (Application of Knowledge)

   • Introduced the Business Model Canvas as the foundation.

   • Explained how to map organisational activities, resources, customer segments, and value propositions.

   • Guided the student to support arguments with credible academic and industry sources.

2. Developing Critical Analysis (Analysis & Synthesis)

   • Encouraged the student to not only describe the business model but also analyse strengths, weaknesses, and external factors.

   • Showed how to design a data-driven strategy, aligning it with organisational goals.

   • Emphasised the importance of linking data insights directly to decision-making in the Business Intelligence Plan.

3. Improving Report Writing (Communication Skills)

   • Provided tips on report structuring: introduction, body (criteria-based sections), and conclusion.

   • Reviewed drafts for logical flow and clarity, advising on language refinement.

   • Highlighted the importance of a professional tone and academic style.

4. Fostering Reflection (Self-Reflection)

   • Helped the student explore personal assumptions and biases that may influence analysis.

   • Encouraged reflection on how data-driven strategies can have social impact and ethical implications.

   • Guided the student in connecting reflection back to the Business Intelligence Plan’s effectiveness.

Outcome and Learning Objectives Achieved

• Outcome : The student produced a well-structured, critically analysed, and data-informed Business Intelligence Plan that was academically rigorous, professionally written, and included a strong reflective component.

• Learning Objectives Covered :

  • KS 1.2 : Applied theoretical frameworks (Business Model Canvas, BI concepts) with real-world data.

  • HO 2.1 : Developed critical thinking by analysing and synthesising data-led strategies.

  • PC 3.1 : Strengthened communication through structured, professional report writing.

  • TS 4.1 : Enhanced reflective skills by acknowledging biases and linking social impact to business strategy.

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