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BIO0265 Data Analysis for Business Individual Written Assignment (Task 2) 2025/26

Published: 08 Nov, 2025
Category Assignment Subject Business
University University of Huddersfield Module Title BIO0265 Data Analysis for Business
Word Count 2000
Assessment Type Individual Written Assignment (Task 2)
Academic Year 2025/26

BIO0265 Assessment Tasks

In today’s business landscape, data plays a pivotal role in decision-making processes. With a focus on ethical considerations and effective communication strategies, you will critically analyse the significance of data in business. 

This report is worth 60% of the final module mark. References are not included in the word count.

Task Details:

  • Essay Question: Critically analyse the significance of data in business, focusing on ethical considerations and effective communication strategies. Discuss how ethical considerations shape the use of data and explore strategies for effectively communicating data outcomes to key stakeholders. Provide examples and insights to support your analysis.
  • Key Areas to Address:
    oSignificance of Data in Business:
  • Go beyond stating data is "important." Critically analyse how data creates value in strategic decision-making, operational efficiency, customer understanding, and innovation.
  • Example: Discuss how Netflix uses viewership data (e.g., Top 10 rankings) to inform content production decisions.
    oEthical Considerations:
  • Analyse key ethical challenges in data collection and use, such as data privacy (e.g., GDPR), consent, algorithmic bias, and corporate responsibility.
  • Discuss consequences of unethical practices on businesses and customers (e.g., Netflix’s potential bias in promoting Originals over licensed content).
    oEffective Communication Strategies:
  • Evaluate strategies for communicating data insights, emphasizing tailoring to stakeholders (e.g., executives, marketing teams).
  • Analyse the role of data visualisation and storytelling in making complex data impactful (e.g., using charts to present viewership trends).

Report Structure:

  • Introduction (approx. 200 words): Outline the importance of data in business, introduce ethical and communication aspects, and state your essay’s focus.
  • Significance of Data (approx. 600 words): Critically analyse data’s role in business value creation with examples.
  • Ethical Considerations (approx. 600 words): Discuss ethical challenges and consequences, supported by examples.
  • Communication Strategies (approx. 400 words): Evaluate methods for effective data communication, emphasizing stakeholder needs.
  • Conclusion (approx. 200 words): Summarise key points and emphasize the interplay of data, ethics, and communication.
  • References: Include a minimum of six credible sources (at least one from a peer-reviewed journal), using APA 7th style.

Format: Write in academic style with Arial font 11, 1.5 spacing. Include a title page.

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Level of AI-Use permitted for this Assessment

Level 1- Not Permitted. The use of AI tools is not permitted in any part of this assessment. 

Level 2 – Some use Permitted. Some use of AI tools is permitted in the research/early stages of this assignment but you must ensure that the work you submit is your own. If you use AI tools, you should acknowledge or reference this in your work.  Use the Text reference builder to learn how to reference AI generated ideas. The sorts of questions to consider when using AI are:

  • Is it accurate?
  • Are the references genuine?
  • Has it reproduced bias? 

Level 3 – Integrated. The use of AI tools is integrated in this assessment. Further guidance is included in this assessment brief.
 
Duration N/A: Word Count 2000 

General study guidance:

  • Cite all information used in your work which is clearly from a source. Try to ensure that all sources in your reference list are seen as citations in your work, and all names cited in the work appear in your reference list. 
  • Reference and cite your work in accordance with the APA 7th system – the University’s chosen referencing style.  For specific advice, you can talk to the Business School librarians or go to the library help desk, or you can access library guidance via the following link:
    oAPA 7th referencing: https://library.hud.ac.uk/pages/apareferencing/
  • The University has regulations relating to academic misconduct, including AI writing and plagiarism. The Learning Innovation and Development Centre can advise and help you with how to avoid ‘poor scholarship’ and potential academic misconduct. You can contact them at busstudenthub@hud.ac.uk.
  • If you have any concerns about your writing, referencing, research or presentation skills, you are welcome to consult the Learning Innovation Development Centre team busstudenthub@hud.ac.uk. It is possible to arrange 1:1 consultation with a LIDC tutor once you have planned or written a section of your work, so that they can advise you on areas to develop.
  • There is a 10% leeway on the word limit although you are advised to stay as close to the 2000 as you can.
  • Word Count Includes: Introduction, main body, conclusion, in-text citations, tables (if any).
    Word Count Excludes: Title page, table of contents, page numbers, reference list, figures, appendices.

Assessment criteria

Your work will be evaluated on your ability to:

  • Critically analyse the role and significance of data in a business context.
  • Demonstrate a deep understanding of ethical issues surrounding data.
  • Evaluate strategies for effective data communication.
  • Structure a coherent argument, supported by relevant examples and academic literature.
  • Write with academic rigour, including correct referencing, grammar, and spelling.

Detailed criteria are in Appendix 1. Your tutor will explain how these apply. The Learning Innovation Development Centre (busstudenthub@hud.ac.uk) can help clarify criteria.

Learning Outcomes 

The assessment task addresses the following validated learning outcomes:

  • MLO2: Critically evaluate the underpinning issues and assumptions of theories and principles of psychology within an organisational context through reflecting upon the application of theory at work (e.g., ethical data use).
  • MLO3: Critically assess the current status of the discipline and prospective future directions (e.g., evolving data ethics).
  • MLO6: Develop an intricate understanding of the workplace from a psychological perspective (e.g., communicating data to influence decisions).

Submiision Information:

Word/Time Limit: 2000 Words
Submission Date:  1212/2025
Feedback Date: 09/01/2026
Submission Time:  15.00

Appendix 1 Assessment criteria 

These criteria are intended to help you understand how your work will be assessed.  They describe different levels of performance of a given criteria.  

Criteria are not weighted equally, and the marking process involves academic judgement and interpretation within the marking criteria.

The grades between Pass and Very Good should be considered as different levels of performance within the normal bounds of the module.

The Exceptional and Outstanding categories allow for students who, in addition to fulfilling the Excellent requirements, perform at a superior level beyond the normal boundaries of the module and demonstrate intellectual creativity, originality and innovation.

 

90-100

80-89

70-79

60-69

50-59

40-49

30-39

20-29

10 - 19

0 – 9

 Level

Exceptional

(Outstanding+)

Outstanding

(Excellent +)

Excellent

Very good

Good

Pass

Unsatisfactory

Unacceptable

Unacceptable

Unacceptable

Fulfilment of relevant learning outcomes

Met

Met

Met

Met

Met

Met

Not met or partially met

Not met or partially met

Not met or minimal

Not met or minimal

Response to the question /task

Full command of assessment task; imaginative approach demonstrating flair and creativity

Clear command of assessment task; sophisticated approach

Very good response to task; elements of sophistication in response

Well-developed response to assessment task with evident development of ideas

Secure response to assessment task but not developed sufficiently developed to achieved higher grade

Adequate response that meets minimum threshold, but with limitations of development

Nearly a sufficient response but lacks key aspects.

Insufficient response

Little response

No response

Knowledge and understanding 

Detailed knowledge and critical understanding of relevant knowledge in the subject (I)

Skilfully integrate ideas from beyond the module or disciplinary areas to provide original/ creative insights into the subject, tensions, and ambiguities in a considered individual voice. Shows an ease with contingency and ambiguity.

Skilfully integrates extended knowledge/ ideas from

beyond the module, and disciplinary areas to provide excellent critical insights.  Shows a level of comfort with contingency and ambiguity.

Comprehensively draws on an extended knowledge to show well-developed critical insights and good knowledge integration.

No major errors or misunderstandings or gaps.

 

 

 

Accurately demonstrates extended knowledge showing good critical insights and some knowledge integration.

No major errors or misunderstandings or gaps.

 

Accurately demonstrates most basic knowledge offers a basic critical understanding.

Lacks depth of integrating ideas.

Few errors and/or gaps in coverage and relevance. 

 

Adequately demonstrates relevant basic knowledge and some, but limited, critical understanding

No integration of ideas.

Some errors and/or gaps in coverage and relevance   

Mentions some terminology relating to theories, concepts 

Little critical understanding of relevant well-established area(s) of knowledge with a many of errors, misunderstandings, and omissions

Very poor knowledge or critical understanding of relevant well-established theories / principles.  Major misunderstandings or omissions.

Negligible coverage of knowledge or critical understanding of well-established / major theories / principles

Wholly irrelevant.

Cognitive / Intellectual skills

A range of means of framing cognitive and intellectual skills are provided to reflect the variety of assessment tasks across the School.  Module leaders should consider the following criteria and select the one(s) that best reflect the assessment tasks. Assessment task briefs should be designed with sufficient information to provide students with a clear understanding of the core intellectual skills expected within the bounds of the module– corresponding with the appropriate level of study

Module leaders should be clear about the nature of information / data to be analysed, as well as the ‘tools’ of analysis expected.  Analytical tools can be based on logic (comparison, connection, categorisation, evaluation, justification) and/or numerical (e.g. statistics, financial) or other.

Argument, reasoning

Intellectually coherent and comprehensive argument that articulates authentic, considered stance in own voice

Compelling argument that shows intellectual agility and captures ambiguity.  Wholly relevant.

Sharply focused and complex argument.

All points wholly relevant Convincing and coherent reasoning.

Clearly articulated argument with consideration of different perspectives.

Mostly relevant points.

Logically coherent reasoning.   

Satisfactory argument but limited in complexity. Broadly relevant points.

Some limitations in terms of reasoning

Adequate basic level of argument provided.

Some relevant points but also a number of irrelevant points Errors in reasoning.   

Weak argument with substantial errors in reasoning.

Descriptive or largely incoherent

Largely incoherent

No argument is offered

Structure and, style in supporting the development of ideas

(criteria relevant for essay-style work)

Elegant flow and structure is integral to the argument. An exceptional demonstration of academic writing which effectively guides the reader.

Elegance of flow that skilfully through the work and excellently supports key message.

 

 

 

Well-ordered logical flow of material in a fluid style which contributes well to the development of the key messages and guides the reader through the writer’s thinking.  

 

 

Clear logical and structured flow of material that guides the reader and supports the development of key messages.  

Basic logical flow of material with elements of signposting for the reader which supports key messages to some extent, but which can lapse in places.

Some logical flow of material with some observable elements of signposting for the reader but elements of disorganisation

May contain repetition or irrelevant material which obscures the key messages.

Some attempt at structure, but disorganized and ineffectual in reflecting argument or analysis.

 

No evident intent of structure.  Disorganised, irrelevant or repetitive content.

None

Insufficient evidence

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