| Category | Assignment | Subject | Business |
|---|---|---|---|
| University | BPP University | Module Title | Data Driven Decisions for Business |
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):
You have recently been employed by Greetings Health Ltd. to join the Accounting & Finance
Department as a financial data analyst.
Headquartered in London, Greetings Health Ltd. is a multi-national healthcare insurance company. The company aims to offer a full range of health insurance, enabling affordable coverage and simplifying the health care experience.
Greetings Health Ltd. completed in January 2024 an already announced acquisition of Insur4me.com. The company is a direct competitor of Greetings Health Ltd. Insur4me.com is Europe’s sixth largest healthcare insurance company by revenue, with more than 15 million customers across different countries. Under the terms of the deal, Greetings Health Ltd. paid Insur4me.com’s shareholders approximately 3 million shares of Greetings Health Ltd. stock valued at $600 million at time the deal was announced and $600 million in cash.
With this acquisition, Greetings Health Ltd.’s top management is looking to achieve synergies to help the company to expand/consolidate into current markets, reduce overhead costs, boost profits and grow its overall businesses. All of these benefits are essential for Greetings Health Ltd. to remain competitive in today’s rapidly changing healthcare landscape.
While the vision of the acquisition is clear, the way in which the management seeks to implement it makes the critical difference between realising the value of the acquisition or not.
The Finance Department is regarded as a trusted independent analytics adviser across the entire company, and it plays a fundamental role in defining the approach to the post-acquisition integration and to ensuring that value from the synergies is achieved across the organisation. The Head of Finance’s role on identifying, qualifying, executing and tracking these synergies, will create consensus and accountability across the organisation. By ensuring the organisation seeks to achieve these synergies, the Head of Finance will create a blueprint for action that summarises where the value of the transaction lies, where and when it will be realised, and the key assumptions that underpin it.
As result of this acquisition, Greetings Health Ltd. decided to increase its data analytic roles 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 Greetings Health Ltd. top management with strong evidence-based foundation for their post-acquisition business decisions. They like recruits to have a 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 Greetings Health Ltd. you have joined the Merge & Acquisition (M&A) group as financial data analyst. Your manager, the M&A Manager, has 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 top management is looking at the union of the two companies as a combination of different businesses units, with each unit distinct from each other through its unique product-market economics. This business portfolio view of the two companies results in a strategy for the individual business unit based on its relative competitive position as well as growth rate for each product and market combination. Understanding products and market is critical, since the competitiveness of a product will determine the rate at which it will generate revenues, while the market growth rate will influence how readily market share can be gained and the relative amount of value to be generated with additional resource allocation.
By applying business portfolio frameworks such as Ansoff’s matrix, the top management is looking at four different strategies to manage the portfolio of business:
As part of the project, you have been approached by the top management with specific objectives related to three decisions they have to make.
The M&A Manager is interested in identifying the best country to start implementing a MarketDevelopment strategy. For this purpose, he wants you to:
Perform an analysis of the revenue and volume of customers of the three countries to identify which country has the best performance, which could be the best candidate to merge/consolidate all services under Insur4me.com brand.
As part of the analysis, the M&A Manager also wants to understand the performance of Insur4me.com’s services, so that weak and strong services could be the candidates for a Divestment or Market Penetration strategies respectively. Insur4me.com current offer is made of the following Health insurance services categories:
In this respect, he wants you to:
Perform an analysis of the insurance services categories offered by Insur4me.com in the three countries to identify:
At the end of 2023, before the acquisition was even proposed, Insur4me.com started a re-branding exercise. The rebranding project was a marketing strategy initiated by the Marketing department that involved changing the company's image, identity, and positioning in the market. It included updating the company's logo, website, social media, marketing materials, and messaging to better align with its, at that time, goals and target audience. The public launch of the new re-branded image occured in January 2024.
Greetings Health Ltd.’s Marketing Director is now keen to understand if Insur4me.com’s re-branding could be also done for Greetings Health Ltd., so that the brand could better be aligned to the new strategy of the two companies together. So, she wants you to address the objective:
Did the re-branding done in 2024 by Insur4me.com have a positive impact on the revenue and overall performance of the company?
The responses to these three objectives should be included in summative report that you save and submit as a PDF format file.
Struggling with your DDDB CW5 Summative Assignment
Request to Buy AnswerBecause this is your first project within Greetings Health Ltd., 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 of Insur4me.com 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 Greetings Health Ltd., 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 Greetings Health Ltd.
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 Insur4me.com, as well as its performance by country and by insurance service category. To answer the Section, you should perform your analysis using at least 3 tables (see guidelines for further details).
Section 3 (LO3): Data charting and commentary
Use your data charting and interpretation skills to develop graphical presentations of the data together with bullet-points setting out the key findings and inferences from the analysis. Create charts where you can compare and analyse customer volume and revenue trends over time by country and by insurance service category, in particular where you can see evidence of any performance change due to Insur4me.com’s re-branding. To answer the Section, you should perform your analysis using at least 3 charts (see guidelines for further details).
Section 4 (LO1): Conclusions and recommendations
Based on your analysis and findings in Sections 3 and 4 set-out your conclusions and recommendations to Greetings Health Ltd.’s top management. As part of your conclusions, include answers to the three project objectives raised by the top management.
Report Structure and References
In addition, marks are awarded for the overall professionalism of your report and the adoption of
academic standards.
The following section provides guidelines on the steps needed to perform each one of the Sections of this assignment.
|
Section 1 (LO4) |
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Critically evaluate different business analytical techniques as part of planning a data analytics initiative. |
Guidelines:
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Section 2 (LO2) |
|
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Explore how data analytics can be used within a business context |
a) Data quality - Guidelines:
b) Data analysis - Guidelines
Ø Data and trends in total customer volume and revenue by month, by year across the 3 years period. Ø Benchmark comparisons of customer volume and revenue between countries by quarter, by year across the 3-year period. Ø Benchmark comparisons of Insurance service categories performance covering customer volume and revenue by quarter, by year across the 3-year period.
|
|
Section 3 (LO3) |
|
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Critically appraise the presentation of data within a business environment |
Guidelines:
Ø Comparison of deposit value trends across countries over time, Ø Service categories customer volume and revenue over the 3-year period Ø Assess the impact in 2024 of Insur4me.com’s re-branding in comparison with the previous years.
|
|
Section 4 (LO1) |
|
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Critically evaluate the evolving use of data in solving business problems, presenting logical arguments based on evidence |
Guidelines:
|
Report structure and references guidelines:
You should set out your report according to the following heading structure. You should add subheadings 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 deducted 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
The assignment is marked out of 100 and counts towards 100% of your module mark. The following table shows the Sections, marks 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 environmen t. |
Inadequate or weak critical appraisal of the presentation of data within a business environment with some difficulties. Largely imitative and descriptive consideration s on how to present data in business contexts. |
Limited critical appraisal of the presentation of data within a business environment. Original work with personal reflection and broad evidence- based critique. |
Satisfactory critical appraisal of the presentation of data within a business Wholly original work with good reflection and solid, well- reasoned judgements forming from evidence- based critique. |
Good critical appraisal of the presentation of data within a business environment. Demonstrate sintellectual originality and imagination in presenting logical arguments based on evidence.
|
Excellent critical appraisal of the presentation of data within a business environment. Demonstrates intellectual originality, integrity, coherence and imagination in presenting logical arguments based on evidence. |
Outstanding critical appraisal of the presentation of data within a business environment. 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 difficulty with presenting logical based arguments/ab sence of evidence based |
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. |
|
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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