Data Driven Decisions for Business Formative CW4 Assessment Brief | BPP

Published: 19 Aug, 2025
Category Assignment Subject Business
University BPP Business School Module Title Data Driven Decisions for Business
Word Count 1000 words
Assessment Type Report
Assessment Title Formative Assessment CW4

1.General Assessment Guidance

  • Please note late submissions will not be marked.
  • You are required to submit all elements of your assessment via Turnitin online access. Only submissions made via the specified mode will be accepted and hard copies or any other digital form of submissions (like via email or pen drive etc.) will not be accepted.
  • For coursework, the submission word limit is 1000 words. You must comply with the word count guidelines. You may submit LESS than 1000 words but not more. Word Count guidelines can be found on your programme home page and the coursework submission page.
  • Do not put your name or contact details anywhere on your submission. You should only put your student registration number (SRN) which will ensure your submission is recognised in the marking process.
  • You are required to use only Harvard Referencing System in your submission. Any content which is already published by other author(s) and is not referenced will be considered as a case of plagiarism.
  • You can find further information on Harvard Referencing in the online library on the Hub (Found via Help&Support). You can use the following link to access this information: https://bpp.libguides.com/home/business
  • BPP University has a strict policy regarding authenticity of assessments. In proven instances of plagiarism or collusion, severe punishment will be imposed on offenders. You are advised to read the rules and regulations regarding plagiarism and collusion in the GARs and MOPP which are available on HUB in the Academic registry section (Found via Help & Support).
  • Use of AI in assessments is only allowed for the purposes of reviewing a draft, correcting language errors or if specified in the summative assessment brief. If you have used AI for any of these purposes, you should indicate this on the Assignment Cover sheet. For more information regarding acceptable and unacceptable use of AI, please enrol onto the Generative AI Foundations course on the HUB.
  • You should include a completed copy of the Assignment Cover sheet. Any submission without this completed Assignment Cover sheet may be considered invalid and not marked.

1.FORMATIVE Assessment Brief

This Formative Assessment Brief covers the first two sections of your Summative.

2.1.Assessment learning outcomes

This assessment is designed to gauge your understanding, skills and application of common data analysis techniques used in business and other organisations today. As such you need to demonstrate your attainment in these areas according to the four

Module Learning Outcomes (LOs):

  • LO1: Critically evaluate the evolving use of data in solving business problems, presenting logical arguments based on evidence
  • LO2: Explore how data analytics can be used within a business context
  • LO3: Critically appraise the presentation of data within a business environment
  • LO4: Critically evaluate different business analytical techniques as part of planning a data analytics initiative.

2.2.Scenario

You have recently been employed by Crowe & Cooper International as a data analyst.

Crowe & Cooper International is a multi-national, fully online accounting firm offering accountancy services in the UK and over 50 subsidiaries in countries around the world. The firm’s core services help organisations with tax related decisions, accountancy and audit.

Crowe & Cooper International uses sophisticated data-encryption and communications technology to link clients to their services via an online platform. Source documents and data are uploaded to cloud storage where they can be accessed from any remote location. The firm typically bills for its services at a fixed monthly rate, benefiting its clients from a budget planning standpoint.

Since its foundation, Crowe & Cooper International established a partnership with SAGE to deliver its online services. Sage is the flexible and scalable financial platform that delivers deep accounting capabilities to thousands of businesses across the world. Sage allows Crowe & Cooper International to offer online accounting services such as general ledger, accounts payable, accounts receivable, cash management, and order management, as well as built-in dashboards, real time reporting, time and expense management, project accounting, revenue management, and global consolidations for multiple entities.

Crowe & Cooper International has a structure of a limited liability partnership or LLP, which allows to have a flexible organisational structure to adapt to each country’s workforce profile. The possibility of having independent and yet coordinated organisational structure across countries allows the company to offer and deliver fully online services using the local workforce, enabling it to support a wide range of customers from local clients to multinational organisations.

As Crowe & Cooper International grows, it continues to increase its data analytic roles within the organisation to strengthen its strategic and operational decision-making capabilities. The recruitment strategy is to employ young professionals with strategic and data analytics skills willing to provide Crowe & Cooper International top management with strong evidence-based foundation for their business decisions. They like recruits to have broad management experience combined with strong academic background. Your MSc degree at BPP University was a key element in their decision to recruit you.

As part of your first assignment at Crowe & Cooper International, you have joined the Marketing department as data analyst. Your manager, the Marketing Director, requested you to complete a number of tasks to ensure that you have a grounded knowledge and understanding of data analytics and its application in decision-making. This is your opportunity to demonstrate your capability and give your employer the confidence to let you run your own project in the future.

The Marketing team is analysing different digital marketing strategies to provide a more balanced growth in the future, combining traditional online promotion with more advance social media tactics. In particular, the Marketing department has teamed up with other divisions such as Finance, Audit, Tax and Advisory, to explore how more modern digital marketing strategies can provide the basis for developing effective client engagement strategies. As in most strategy development processes, three steps are needed: first understand where the company stands now (where we are), second define strategic objectives (where we want to be) and third develop the approaches/initiatives/tactics to achieve these strategic objectives (what path we are going to take). So, you have been given the responsibility to analyse Crowe & Cooper International’s current business performance (where the company stands now).

Your job will be to analyse the performance of three of the best regions where Crowe & Cooper International operates: North America, Western Europe and the Middle East.

Crowe & Cooper International has experienced strong competition in these regions from other local online accounting firms. For instance, in the UK competition comes from e- accounts, The Accountancy Partnership, Crunch and Gorilla Accounting. So, the performance of these three regions is a good indication of the current global market performance of the company.

2.3.Research objectives and tasks

The Financial Director is interested in identifying the best region to start implementing the new strategy. For this purpose, he wants you to:

Perform an analysis of the revenue and number of projects of the three regions to  identify the best region to start the new strategy.

As part of the analysis, the top management wants to consider the strengthening of the business by acquiring other companies, which are strong in the areas where the organisation is weak. The option being considered is to acquire a competitor which would give, in one hand, a competitive advantage to Crowe & Cooper International by reducing competition, increasing market share, and improving its market position. On the other hand, the acquisition would provide access to the competitor’s customer base and possible easy entry to new markets where the company has not yet any presence.

Therefore, the Financial Director also wants to understand the weakness of the company’s client portfolio, that is to identify those client sectors with low revenue and low project pipeline. Crowe & Cooper International’s client portfolio is composed by clients from the following industry sectors:

  • IT and Telecom
  • Manufacturing
  • Healthcare
  • Public and Government
  • Finance
  • Energy

In this respect, she wants you to:

Perform an analysis of the client sectors in the three regions to identify the lowest  performing sector which might benefit from a competitor acquisition. 

Since its foundation as an online business, Crowe & Cooper International has used digital platforms to promote its business such as corporate website and accountancy portals. However, since social media has become so dominant in the online world, the company feels it doesn’t exploit entirely the spectrum of opportunities this new and powerful digital channel offers. So, in January 2024 the company established an equity partnership with UK-based One-click Media Group, a social media marketing agency specialised in B2B social media for the European market. The idea of the partnership is to allow Crowe & Cooper International to quickly acquire for the Western Europe region marketing capabilities in the social media arena, such as brand positioning, content promotion, recruitment activity and direct lead generation.

The Marketing Director is keen to understand if the business model used in Western Europe with One-click Media Group could be applied to other regions, so that similar partnerships with regional social media marketing agencies can be established. So, she wants you to address the question:

Did the equity partnership with One-click Media Group, which brought social  media know-how to the operations in Western Europe, increase the revenue and  overall performance of the region?

The responses to the issues detailed above should be included in a summary MS Word report that you save and submitted.

2.4.Report Sections

Because this is your first project within Crowe & Cooper International, the management team has given you additional details regarding the structure and content that it is expected to see in your report. This is set out in Section 3 – Report Structure.

The set of data is available (see module dataset spreadsheet file). Since the data comes directly from the countries, quality issues are present which will require your attention! 

You have four Sections to complete for your summative report.

Section 1 (LO4): Introduction and project plan

Summarise what you are going to present in the report. Then justify your plan for delivering the research project to the management of Crowe & Cooper International, making sure you also clearly refer to a data analytics implementation framework as part of your plan. Finally, explain how data analytics can add value and help to drive business performance improvements to Crowe & Cooper International.

Section 2 (LO2):

a)Data quality issues and remedies

Proceed with preparing the dataset for the analysis. Discuss initially the general issues encountered in collecting, reviewing and cleansing data and then detail the specific data quality issues you found in the project dataset and how these issues will be addressed.

b)Data analysis and commentary

Using only tables, set out and explain the results of your numeric data analysis and supporting commentary. Start by including a summary of exploratory data analysis of the dataset. Then create tables where you can analyse the overall performance of Crowe & Cooper International as well as its performance by region and by client sector. To answer the Section, you should perform your analysis using at least 3 tables (see guidelines for further details).

2.5.Section guidelines

The following section provides guidelines on the steps needed to perform each one of the Sections of this assignment.

Section 1 (LO4)

 

 

Critically evaluate different business analytical techniques as part of planning a data analytics initiative.

Guidelines:

· State the purpose of the report and describe the report structure and contents

· Present your overall project plan for delivering the project

· Ensure that your project plan explicitly refers to a data analytics implementation framework and explain how the chosen framework is applied to the project and used to address the core project objectives assigned to you.

· To analyse the value of Data Analytics, suggest a list of Key Performance Indicators (KPIs) Crowe & Cooper International can use to measure its performance. Then explain how data analytics can help to improve the performance of the company by looking at how data analytics can improve these KPIs.

Section 2 (LO2)

 

Explore how data analytics can be used within a business context

a) Data quality - Guidelines:

· List and explain generic data problems during the processes of data collection, integration and cleansing, and how to identify them. What are the different options for resolving these generic issues?

· Search and list all data quality problems you have identified in Crowe & Cooper International’s dataset. Explain how you identified the problems (e.g. give examples of the issues) and how you propose to address/solve them.

b) Data analysis - Guidelines

· To fully complete the Section, it is recommended you support the analysis by producing the following data tables:

Ø Data and trends in total project volume and revenue by month, by year across the 3 years period.

Ø Benchmark comparisons of project volume and revenue between regions by quarter, by year across the 3-year period.

Ø Benchmark comparisons of client sectors performance covering project volume and revenue by quarter, by year across the 3-year period.

· Include in a separate section the summary exploratory data calculations for total project volume and total revenue. The analysis could include for example top and bottom

performing client sectors, averages, standard deviations; top

 

and bottom performing time-periods, etc.

· Ensure your tables are professionally presented: Headings, units, data formats. Highlight and annotate key data elements.

· For each table, paste the table in your report, include firstly an explanation of the table and its contents, then a bullet- point list of what you can see or infer from your analysis of the data.

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2. Report Structure

You should set out your report according to the following heading structure. You should add sub-headings under this overall structure as you feel fit to demonstrate your ability to on- develop the section themes and to provide meaningful sub-structure. But you must use this overall structure in order to provide a consistent framework against which your marker will allocate marks. You will be deduced marks if you do not follow this structure. Also note that there is no requirement for producing an Executive Summary.
University Cover Page Table of contents

1.Section 1: Introduction and project plan

2.Section 2:
a.Data quality issues and remedies
b.Data analysis and commentary

3.References

4.Appendix (optional)

In addition, you may wish to add further appendices as you see fit in order to support your work.
Word count: 1,000. Cover Page, Table of Contents, References, Appendices, Tables, Charts and Figures do not count towards word count.

3.Marking Guide

The following table shows the Learning Outcomes and marking rubric. You should iteratively self-assess your performance against the Marking Guide as you develop your draft submission, in order to evaluate your performance against your target grade.

 

Fail

Marginal Fail

Pass

Merit

Distinction

High Distinction

Learning

Outcome

(0-39%)

(40-49%)

(50-59%)

(60-69%)

70-79%

(80-100%)

LO1:

Critically evaluate the evolving use of data in solving business problems, presenting logical arguments based on evidence.

Inadequate or weak critical evaluation of the use of data in solving business problems with some difficulties.

Largely imitative and descriptive consideration s on how to use data in business issues. Some difficulty with presenting logical based arguments/ab sence of evidence based

arguments.

Limited critical evaluation of the use of data in solving business problems.

Original work with personal reflection and broad evidence- based critique.

Satisfactory critical evaluation of the use of data in solving business problems.

Wholly original work with good reflection and solid, well- reasoned judgements forming from evidence- based critique.

Good critical evaluation of the use of data in solving business problems.

Demonstrates intellectual originality and imagination in presenting logical arguments based on evidence.

Excellent critical evaluation of the use of data in solving business problems.

Demonstrates intellectual originality, integrity, coherence and imagination in presenting logical arguments based on evidence.

Outstanding critical evaluation of the use of data in solving business problems.

Demonstrates intellectual originality, integrity, coherence, creativity and imagination in presenting logical arguments based on evidence.

LO2:

Explore how data analytics can be used within a business context.

Inadequate or weak exploration of how the data can be used within a business context with some difficulties.

The analysis presented is not in line with requirements (e.g., data is not cleaned).

Limited exploration of how data can be used within a business context.

Original work with an inappropriate breath of techniques explored to answer the business issues. The analysis presented is partially in line with requirements (e.g., data is not cleaned or poor understandin g of the cleaning process).

Satisfactory exploration of how data can be used within a business context.

Wholly original work with an appropriate breadth of techniques explored to answer the business issues. The analysis presented is basically in line with requirements (e.g., data is not fully cleaned, but the approach is appropriate).

Good exploration of how data can be used within a business context.

Demonstrates intellectual originality and imagination and presents a good breadth of techniques explored to answer the business issues. The analysis presented is in line with requirements (e.g., data is cleaned).

Excellent exploration of how data can be used within a business context.

Demonstrates intellectual originality, integrity, coherence and imagination in exploring the best analytical solutions in answering the business issues. The analysis presented is in line with requirements and is clearly discussed with an evidence- based approach although the evidence shown lacks depth of

analysis.

Outstanding exploration of how data can be used within a business context.

Demonstrates intellectual originality, integrity, coherence, creativity and imagination in exploring the best analytical solutions in answering the business issues based on evidence. The analysis presented is in line with requirements and is clearly discussed with an evidence- based approach with also a clear analysis of the

procedure.

LO3:

Critically appraise the presentatio n of data within a business

Inadequate or weak critical appraisal of the presentation of data within

a business

Limited critical appraisal of the presentation of data within a business

environment.

Satisfactory critical appraisal of the presentation of data within a business

environment.

Good critical appraisal of the presentation of data within a business environment.

Demonstrates

Excellent critical appraisal of the presentation of data within a business

environment.

Outstanding critical appraisal of the presentation of data within a business

environment.

environmen t.

environment with some difficulties. Largely imitative and descriptive consideration s on how to present data in business contexts.

Some difficulty with presenting logical based arguments/ab sence of evidence based

arguments.

Original work with personal reflection and broad evidence- based critique.

Wholly original work with good reflection and solid, well- reasoned judgements forming from evidence- based critique.

intellectual originality and imagination in presenting logical arguments based on evidence.

Demonstrates intellectual originality, integrity, coherence and imagination in presenting logical arguments based on evidence.

Demonstrates intellectual originality, integrity, coherence, creativity and imagination in presenting logical arguments based on evidence.

LO4:

Critically evaluate different business analytical techniques as part of planning a data analytics initiative.

Inadequate or weak critical evaluation of the techniques used and of their consequences with some difficulties.

Largely imitative and descriptive consideration s on how to plan a data project in business contexts and in how to interpret the conclusions.

Some

Limited critical evaluation of the techniques used and of their consequences within a business environment. Original work with personal reflection and broad evidence- based critique.

Satisfactory critical evaluation of the techniques used and of their consequences within a business environment. Wholly original work with good reflection and solid, well- reasoned judgements forming from evidence- based critique.

Good critical evaluation of the techniques used and of their consequences within a business environment. Demonstrates intellectual originality and imagination in presenting logical arguments based on evidence.

Excellent critical evaluation of the techniques used and of their consequences within a business environment. Demonstrates intellectual originality, integrity, coherence and imagination in presenting logical arguments based on evidence.

Outstanding critical evaluation of the techniques used and of their consequences within a business environment. Demonstrates intellectual originality, integrity, coherence, creativity and imagination in presenting logical arguments based on evidence.

 

difficulty with presenting logical based arguments/ab sence of evidence based

arguments.

 

 

 

 

 

Research Skills

Inadequate academic/ intellectual skills with some difficulties. Largely imitative and descriptive. Some difficulty with structure and accuracy in expression, but developing practical/prof essional skills.

Limited academic/int ellectual skills. Original work with personal reflection and broad evidence- based critique. Solid structure and accuracy in expression.

Practical/prof essional skills evident.

Satisfactory academic/int ellectual skills. Wholly original work with good reflection and solid, well- reasoned judgements forming from evidence- based critique.

Consistent structure and accuracy in expression. Practical/prof essional skills

established.

Good academic/int ellectual skills.

Demonstrates intellectual originality and imagination

Excellent academic/int ellectual skills.

Demonstrates intellectual originality, integrity, coherence and imagination.

Outstanding academic/int ellectual skills.

Demonstrates intellectual originality, integrity, coherence, creativity and imagination working consistently in the higher cognitive domains to a professional standard.

Referencing

Inadequate references and notes but may contain inconsistencie s, errors or omissions.

Limited and full and appropriate references and notes with minor or insignificant errors

Satisfactory with precise, full and appropriate references and notes.

Good with precise, full and appropriate references and notes at a high standard.

Excellent with precise, full and appropriate references and notes at near- publishing

standard.

Outstanding with precise, full and appropriate references and notes at publishing standard.

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