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Understand the basic methods of research and statistical analysis in business
Assignment (BM9716) 2022-23 Business Statistics and Data Analytics (BM9716)
Academic Year
2022/2023 - Sem. 1
Module Number
(BM9716)
Module Title
Business Statistics and Data Analytics
Module Points
20 Credits
Core or Option
Core
Module Tutor
Teaching Team
Assignment:
Distributed on:
Teaching Week 1/2
Weighting:
This coursework accounts for 100% of the total mark for this module:
40% Group Presentation: Assignment A 60% Individual Report: Assignment B
Submission of Assessment:
Electronic Management of Assessment (EMA) applies - Please note that assignments will need to be submitted electronically by the given deadline
Hand in Dates & Weightings:
- Assignment “A” (component 1 for overall module assessment, and worth 40% of module mark) - presentation in week 11
- Assignment “B” (component 2 for overall module assessment, and worth 60% of module mark) – hand-in date is published by the faculty office (hand in before 12:00 noon on 09/01/2023 )
- Note: Re-Assessment will be the same assignments – Date & Time (TBC):
Assignment “A”: presentation
Assignment “B”: Individual Report
General Information Further information about general assessment criteria, ARNA regulations, referencing and plagiarism can be found on the e-Learning Portal (Blackboard) site for the module. Students are advised to read and follow this information.
The assignments for this module will consist of 2 parts – a group presentation and an individual report – further detail on each is below. The assignments are designed to allow students to demonstrate skills learnt in both strands of the module and to be delivered using methods commonly used in the workplace.
As the assessment includes group work it is important that students familiarise themselves with protocols for these activities and follow these during the course of the assessment. The document can be found on the e-Learning Portal (Blackboard) site for the module.
Module Learning Outcomes (MLOs) Aims of the Module:
The module aims to provide students with the opportunity to:
Understand the basic methods of research and statistical analysis in business. (MLO1)
Critically apply business statistics and analytical tools to real-life scenarios using case studies, individual and team consulting-based assignments, presentations, and software tools. (MLO2)
Gain a solid theoretical foundation and quantitative analytical skills, alongside practical problem- solving techniques by using SPSS / SAS Enterprise software for “Data Analytics for Business”. (MLO3)
Develop the key skills that you need to succeed in future careers and build your employability skills as part of your basic toolkit for life. (MLO4)
Assess the ethical issues related to business data analytics. (MLO5)
This module will be assessed by:
Assignment “A” (40%): As a group, you should prepare (20 min presentation) in week 11 to analyse the case assigned to you followed by 5 minutes of questions & discussions, where teams will present a culmination of the work developed over the semester for their chosen organisation. The group presentation to analyse the business case by using SAS & SPSS tools and to present recommendations and business outcomes based on the analysis that will be conducted over the semester for your chosen project.Assignment “B” (60%): A (3,000-word report) relates to the importance and critical evaluation of the factors that affect the successful and effective use of data analytics tools and statistical analysis in business. You need to refer and use different examples and cases in your assignment. You can also reflect on the group-work that you have done in this course by applying and critically evaluate different statistical analysis and analytical tools used in the project that will be assigned to you.
Summative Assessment:
This module will be assessed by 2 assignments (A & B)
Assignment (A) – 40% of the total Mark:
A group of (3 or 5 students) assignment will involve small teams of students presenting and demonstrating a set of deliverables based on the key elements studied during the semester. The assignment is designed to allow students to demonstrate skills learnt in the module and to be delivered using methods/systems commonly used in business. Teams will be formed at the beginning of the semester and students will remain in these teams throughout the semester and for the final summative assessment. Once the teams have been created each team will work on a case assigned to an organisation that they would like to base their work on (the choice will need to be agreed by all team members and the tutor), and will act as a team of consultants who will present their findings to the client in the final presentation. Whilst the organisations chosen must be real, teams might perform primary research with them if possible, but will use secondary sources when carrying out their investigations. In line with this, the presentations will be to members of the teaching team who will act as representatives of the chosen organisation and some representatives from the organisation (if possible) . In other words, the involvement of the organisation is not necessarily required, but ethical considerations must be adhered to. It is hoped that this approach will provide flexibility for teams to choose an organisation that is more closely related to their discipline and/or interests. The group presentation will take place in week 12 (if possible) , if not the staff will act as representatives of the organisation selected by the team. There will also be 5 minutes of questions. Each team will submit electronic copies of their presentation and deliverables prior to the presentation sessions. Teams may provide appropriate paper handouts at the beginning of the presentation.
Assignment “A”: Outline Brief (Group - 40% of the mark) [assessing MLO: 3,4,5] The current world situation in 2020 faces the outbreak of a new strain of Coronavirus, known as COVID-19 Disease. This disease affects most countries in the world (World Health Organization, 2020). Starting in the spring of 2020, the outbreak of COVID‐19 caused UK universities to close their campuses and forced them to initiate online teaching. This has made UK universities increasingly use online teaching and different learning tools compared to the past. Furthermore, the provision and usage of online teaching and e-learning becoming the most important challenge for many UK universities during the COVID-19 pandemic. E-learning systems such as Moodle and Blackboard have several fantastic tools and features that would be valuable for use during this COVID-19 Quarantine Time. However, the sudden move to online teaching and the successful usage of new online teaching tools relies on understanding the user acceptance and the adoption factors that face the current user the UK universities. Therefore, your case will focus on the user’s acceptance of online teaching in the UK Higher Universities COVID-19 Quarantine Time. Understand the basic methods of research and statistical analysis in business
You will be divided into groups; each group will find data and create a case regarding (Covid-19 and Online Teaching):
Covid-19 and Online Teaching – Case Study:
You are working in “XYZ consulting company” and Northumbria University (NU) asked you to analyse users’ acceptance regarding online teaching tools in NU During COVID-19 Quarantine Time.
So, your team has “Business Analytic Experts” and are required to assess and analyse the case based on statistical and analytical tools by using: Business Case Scenario – SAS – SPSS
Your presentation & analysis should include the following stages: Formulation:
Identify Business case Scenario Importance of the case Secondary Data to be analysed (The data will be given to you OR you can create your own if you want ).
Analytic Tools : Like (SAS and SPSS software) to be used as analytic tools to evaluate the case that will be identified.
Appraisal (i.e. Conclusions and interpret the results of your analysis with a recommendation).
Your presentation must include the following elements: A. Intro / Overview about the case you have selected [10%]B. Data sources and Identification [10%]C. Analysis and presentation of the data via using SAS tools and Applications [35%]D. Analysis and presentation of the data via using SPSS tools and Applications [35%]E. A brief conclusion about the analysis and any recommendation [10%]The group presentation will take place in week 11. All teams will deliver 20 minutes presentation to at least 2 members of the module team with a representative from the selected organisation (if possible) . There will also be 5 minutes of questions. Each team will submit electronic copies of their presentation and deliverables before presentation sessions. Deliverables should include all the elements mentioned above and any other element deemed appropriate (this will become apparent during the module teaching sessions). Teams should provide appropriate paper handouts at the beginning of the presentation (at least a copy of the slides) and be dressed in professionally.
Assignment (B) – 60% of the total Mark: The individual assignment must be submitted in the assessment period following the taught elements. You will be required to produce (a 3000-word report)
Assignment “B”: Outline Brief (Individual Report - 60% of the mark) [assessing MLO: 1,2,3] “Think analytically, rigorously, and systematically about a business problem and come up with a solution that leverages the available data.” – Michael O’Connell, chief analytics officer, TIBCO.
Big data is a term that describes the large volume of data, both structured and unstructured data that inundates a business on daily basis. For most organisations, big data is the reality of doing business and if it is managed and analysed well, it can deliver powerful insights. Big data can be analysed statistically for insights that lead to better decisions and strategic business moves. There are different software used nowadays in organisations based on different innovative, trusted technology and passionate connection to move the world forward by transforming data into intelligence.
A lot of organisations work with data in the business environment, using statistical, mathematical, and business analytics skills. Accordingly, in this assignment, you need to show how organisations can get benefit from big data analysis and business statistical analysis. So, you need to criticise and evaluate the factors that affect the successful and effective use and implementation of different data analytics tools and statistical analysis in business such as (SAS and SPSS).
You need to refer to and use different examples and cases in your assignment and justify your choices. You should also discuss how useful any statistical or data analytics tools such as (SAS & SPSS) have been used in your group work. Furthermore, you can highlight the advantages and disadvantages of the enablers and barriers regarding the use of data analytics and business statistical tools in organisations. The report must include a critical evaluation supported by theory and reflective comments based on what you have learned in this module.
As an individual, you will write a 3000-word report that must include the following: A. A short introduction giving background, context, and an outline of the report [10%]
B. Defining Business Statistics & Data Analytics and a critical appraisal of the use and implementation of different analytics tools in organisations and the resources required for its implementation and deployment in organisations. [40%]
C. A critical appraisal and analysis of the factors (Barriers & Drivers) that affect the implementation and the use of Business Statistics & Data Analytics in organisations. You need to refer to some examples from organisations regarding successful and/or failure cases [20%]
D. A conclusion providing an overall summary of the key points made and any recommendations for the successful implementation and use of Business Statistics & Data Analytics in organisations [20%]
E. The report must be supported by academic references and examples and include a single reference list. See below for further guidelines on formatting and word limits [10%]
Hand out (HO), Hand in (HI) Timeline
WEEK
Assignments
1
2
3
4
5
6
7
8
9
10
11
12
09/01/2023
A
HO
HI
B
HO
HI
Your report should conform to the following specifications
Word-processed in Arial 12pt, 1½ spacing
Pages should be numbered
Word limits and penalties for assignments The word count is to be declared on the front page of your assignment and the assignment cover sheet. The word count does not include:
Title and Contents page Reference list Appendices Appropriate tables, figures and illustrations Glossary Bibliography Quotes from interviews and focus groups
Please note, in-text citations [e.g. (Smith, 2011)] and direct secondary quotations [e.g. “dib-dab nonsense analysis ” (Smith, 2011 p.123)] are included
If the assignment is within +10% of the stated word limit no penalty will apply. If the word limit of the individual report exceeds the +10% limit, 10% of the mark provisionally awarded to the assignment will be deducted. For example: if the assignment is worth 70 marks but is above the word limit by more than 10%, a penalty of 7 marks will be imposed, giving a final mark of 63. If the word count is falsified, students are reminded that under ARNA regulations this will be regarded as academic misconduct.
Submission of Assessment & Feedback:
Electronic Management of Assessment (EMA) applies: please note assignments will need to be submitted electronically by the given deadline via Turnitin. The Turnitin link will be made available on the module’s eLP (Blackboard) site. Understand the basic methods of research and statistical analysis in business
Group Work (Assignment “A”) - each member in the team will be required to submit an electronic copy of their presentation, supporting documentation and data analysis model approx. 1 day prior to the presentation sessions. As stated earlier, any hard copies of documentation teams would like to submit should be handed in at the beginning of the team presentation.
Individual Work (Assignment “B”) - the assignment must be submitted electronically via the EMA system using Turnitin on the eLP (Blackboard).
Summative Feedback : You will be provided with a mark and feedback on your performance, which will include any actions to be taken to improve performance. This will be returned to you via the same system used for submission of the assignment
i.e. EMA system.
Formative Feedback – all teams should take note of the formative feedback provided during the workshops / seminars throughout the semester in order to feed forward into the final summative presentation and report.
Late submission of work Where coursework is submitted without approval, after the published hand-in deadline, the following penalties will apply.
For coursework submitted up to 1 working day (24 hours) after the published hand-in deadline without approval, 10% of the total marks available for the assessment (i.e.100%) shall be deducted from the assessment mark. For clarity: a late piece of work that would have scored 65%, 55% or 45% had it been handed in on time will be awarded 55%, 45% or 35% respectively as 10% of the total available marks will have been deducted.
The Penalty does not apply to Pass/Fail Modules, i.e. there will be no penalty for late submission if assessments on Pass/Fail are submitted up to 1 working day (24 hours) after the published hand-in deadline
Coursework submitted more than 1 working day (24 hours) after the published hand-in deadline without approval will be regarded as not having been completed. A mark of zero will be awarded for the assessment and the module will be failed , irrespective of the overall module mark.
For clarity: if the original hand-in time on a working day is 12noon the 24-hour late submission allowance will end at 12noon on the next working day
These provisions apply to all assessments, including those assessed on a Pass/Fail basis.
Mapping to Programme Goals and Objectives:
This assessment will contribute directly to the following Postgraduate programme goals and objectives. Goal One: To develop the skills necessary for employment and career progression
1
Demonstrate awareness of personal strengths and weaknesses and the ability to engage in continuing self-development.
2
Demonstrate the development of inter-personal and intra-personal skills.
X
3
Competence in contemporary analytical and ICT applications.
Goal Two: Be culturally and ethically aware
1
Demonstrate their ability to work in culturally diverse groups and teams and make appropriate and personal contribution to team effectiveness.
2
Reflect on their own ethical values.
3
Understand the wider impact of individual or organisational decision making on social and environmental contexts.
Goal Three: Have developed leadership and management capability
X
1
Analyse and communicate complex issues effectively (Module LO3)
X
2
Demonstrate decision making, problem solving and project management skills (Module LO4)
Goal Four: Have developed and applied knowledge of international business and management theory
1
Acquire, interpret and apply knowledge of international business, management and
organisational functions.
2
Demonstrate an understanding of the impact of innovative and contemporary research on the business and management community.
3
Acquire, interpret and apply specialist functional knowledge in relation to their programme of study (specialist programmes only ). Understand the basic methods of research and statistical analysis in business
Goal Five: Have developed a range of research skills and project capabilities
1
Plan and complete a major piece of research or project on a contemporary business, financial, management or leadership topic.
X
2
Demonstrate skills of analysis and synthesis in the application of research methods to the
exploration of contemporary business and management issues.
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