BTEC Level 5 Unit 17 Business Process Support Assignment Brief 2026

BTEC L5 Unit 17Assignment Brief

Submission Format

• A 10-minute presentation (10–15 slides as a guide, with accompanying speaker notes) discussing the use, manipulation and value of data and information to support business processes
• Summary sheet, to accompany the presentation, discussing threats and more specific social, legal, ethical and security implications, while appreciating opportunities for data and information used to support business processes.
• A case study showing evidence of tools and technologies associated with data science, drawing conclusions on techniques to make recommendations that support real-world business problems.

The recommended word limit is 1,000–1,500 for the summary sheet, although you will not be penalized for going under or exceeding the total word limit.

You are required to make use of headings, paragraphs and subsections as appropriate, and all work must be supported with research and referenced using the Harvard referencing system.

Unit Learning Outcomes

Transferable Skills And Competencies Developed

Computing-Related Cognitive Skills

• Demonstrate knowledge and understanding of essential facts, concepts, principles and theories relating to computing and computer applications
• Recognize and analyze criteria and specifications appropriate to specific problems, and plan strategies for their solutions
• Methods and tools: deploy appropriate theory, practices and tools for the design, implementation and evaluation of computer-based systems
• Recognize the professional, economic, social, environmental, moral and ethical issues involved in the sustainable exploitation of computer technology and be guided by the adoption of appropriate professional, ethical and legal

Computing-Related Practical Skills

• The ability to evaluate systems in terms of quality attributes and possible trade-offs presented within the given problem
• The ability to critically evaluate and analyze complex problems, including those with incomplete information, and devise appropriate solutions, within the constraints of a budget.

Generic Skills For Employability

• Intellectual skills: critical thinking; making a case; numeracy and literacy
• Contextual awareness, e.g. the ability to understand and meet the needs of individuals, business, and the community, and to understand how workplaces and organizations are governed

Vocational Scenario

Organization 

BrewByte Café is a small local café in Bandar Seri Begawan that sells coffee, pastries, and light meals. Although the café is small, it wants to improve daily operations by understanding sales patterns, customer preferences, and inventory usage.

The café collects simple data from several sources, such as:

• Daily sales records from the POS
• Weekly inventory usage logs
• Basic data on operating costs (ingredients, utilities, supplies)

By analyzing these datasets, BrewByte Café hopes to improve menu planning, schedule staff more efficiently, reduce wasted ingredients, and offer better customer service. 

As small businesses in Brunei increasingly adopt digital tools, BrewByte Café wants to move from manual record-keeping to a more data-driven system, allowing faster and smarter decision-making.

Role 

You are currently working att BrewByte Café, assisting the small business with improving its data workflows. Over the past three months, you have been helping organize daily sales sheets, reviewing feedback trends, and identifying issues in how data is recorded and reported.

Your manager has now asked you to prepare a presentation and summary sheet for the café owner and potential partners. Your goal is to show how integrating multiple small datasets can:

• Improve menu and pricing decisions
• Optimize inventory purchases
• Track daily revenue and cost performance

If your presentation is successful, you will be given a project to design a dashboard system that BrewByte Café can use daily to monitor sales and operations.

The café uses several simple data sources to guide decision making, such as:

• POS daily sales reports
• Supplier records
• Weekly inventory usage sheets
• Daily cost and expense records

BrewByte Café’s long-term goal is to move toward a more data-driven management style—improving menu planning, optimizing supply purchases, reducing waste, and better understanding customer behaviour. The café wanted to understand :

• Which items were the most profitable
• How long does ordered item arrive from ordered date
• Which items consistently ran low
• Which suppliers has the most profitable item

A combination of sales records, customer feedback, and inventory logs to identify key operational issues.

If the project were to be successful, how would BrewByte achieve the below:

• Introduced new bundle sets based on top-selling combinations
• Adjusted inventory purchases to match demand
• Improved staff scheduling during peak hours
• Added QR-code customer feedback prompts to gather faster insights

Assignment Activity And Guidance

Activity 1

You can decide on the industry and context of your previous client project(s), but it is advised that you reflect on the vocational scenario and give examples or evidence of how they used data and information generated from local/national datastores to support business processes. Example(s) can be something you have thought of yourself or from a real business case.

1. Presentation

Your presentation should address the following areas.

a) Discussion on how data and information support business processes, including the value they have for organizations

b) Discussion of how data is generated and used by organizations to support business processes and the tools for manipulation to form meaningful data

c) Your assessment on the impact and value of data and information, in relation to previous client project(s) for real-world business processes in practice

d) An overview of human- and machine-generated data mechanisms and tools that could be used as part of process to manipulate and form meaningful data.

2. Summary Sheet

The summary sheet will accompany the presentation to include the following.

• Detailed description of common threats to data and how they can be mitigated at personal and organisation level
• Discussion of the social, legal, and ethical implications of using data and information to support business processes, recognising relevant regulatory issues
• Analysis based on one of your previous client project(s), on the impact of using data and information to support business real-world processes
• Evaluation on wider implications of using data and information to support business processes, including failure to adequately protect data and information.

Activity 2

From the selected organization in Task 1, explore solutions driven by data for improving their decision making.

As part of your tasks, you are expected to:

• Provide a discussion of how data science associated tools and technologies, support business processes and inform decision making.
• Present your design of a data science solution to support decision making in relation to real-world problems faced by the organization, assessing the benefits of using data to solve problems in practice.
• Summarize implementation of a data science solution with the organization, making clear how design performed a specific task to support problem solving or decision making.

Justify recommendations that support decision making in reference to your real-world problem and conclude your case study with an evaluation on the use of data science techniques, addressing how these met the organization’s user and business requirements.

Recommended Resources

Journal Articles:

Fetais, A., Abdella, G.M., Al-Khalifa, K.N. and Hamouda, A.M. (2022) Business process re- engineering: a literature review-based analysis of implementation measures. Information. Volume 13, Issue 4. doi:10.3390/info13040185.

Reed-Berendt, R., Dove, E.S. and Pareek, M. (2021) The Ethical Implications of Big Data Research in Public Health: “Big Data Ethics by Design” in the UK‐REACH Study. Ethics & Human Research, 44(1), pp.2-17. doi:10.1002/eahr.500111.

Reading:

Jeston, J. and Nelis, J. (2018) Business Process Management. 4th edn. Routledge.

Marr, B. (2015) Big Data: Using SMART Big Data, Analytics and Metrics to Make Better Decisions and Improve Performance. 1st edn. John Wiley & Sons, Ltd.

Learning Outcomes And Assessment Criteria