Students will select an organisation of their choice. (This could be the organisation they work for.
Taking the role of an external Consultant, they will be required to conduct a performance review of the organisation and will submit a 2500-word report that will critically review and evaluate a chosen area of interest, department, or sector.
The report will include the design and a deployment plan for a business intelligence/data analytics system (using appropriate data analytics software).
Secondary data sources will be used to direct the analysis as well as frame the problem/opportunity statement regarding the case company.
There is no expectation that students should collect primary data.
As part of the written assignment, students will be required to develop a decision support dashboard for the organisation.
The dashboard will be designed and developed by using appropriate data analytics software and should be submitted separately using Blackboard.
A 2500 word report justifying the use of business intelligence and data analytics solution methods should also be submitted using Blackboard.
Students will be given written feedback so they will be able to feed into the workplace and/or further study.
Formative feedback will be provided to students during the semester by the module tutor during interactive workshop sessions. In addition, assignment briefing session will be run which will provide further opportunities of formative feedback to students.
Summative feedback will be provided to students on completion of their assignment to assess their performance.
The following marking criteria will be used to mark the report and the decision support dashboard;
1. Introduction to the problematic situation/opportunity regarding your selected organisation - 400 words (10%)
2. Theoretical frameworks to link problem/opportunity of the case organisation- 800 words (20%)
3. Evidence of knowledge and understanding of business intelligence/data analytics systems. Marks will be awarded on the quality of analysis, data visualisations, interactive use of data analytics software and dashboard features (30%)- submitted separately as a dashboard
4. Critical analysis and justification of dashboard solution to address the problematic/opportunity situation in the selected case company- 800 words (20%)
5. Conclusion and recommendations for the implementation of business intelligence/analytics system in the case organisation for the focused area of investigation- 400 words (10%)
6. Presentation including appropriate language, references used, clarity of expression and style; appropriate structure and format; length and the relevance of appendices if used (10%)
100% Coursework
0% Examination
Cadle, J., Paul, D. & Turner, P. (2014), Business analysis techniques: 99 essential tools for success, British Computer Society (BCS), London.
Eckerson, Wayne W. (2006), Performance dashboards: measuring, monitoring, and managing your business, John Wiley & Sons, New Jersey.
Sharda, R., Turban, E., Delan, D. (2014) Business intelligence and analytics; systems for decision Support, Boston: Pearson.
Wisniewski, M. (2010). Quantitative methods for decision makers with mathxl. Pearson Education.
Brynjolfsson, E., Hitt, L.M. and Kim, H.H. (2011). Strength in numbers: how does data-driven decision making affect firm performance?. Available at SSRN 1819486.
David Santiago Rivera & Graeme Shanks (2015) A dashboard to support management of business analytics capabilities, Journal of Decision Systems, 24:1, 73-86, DOI: 10.1080/12460125.2015.994335.
Graeme S. and Nargiza B. (2012). Achieving benefits with business analytics systems: an evolutionary process perspective, Journal of Decision Systems, 21:3, 231-244, DOI: 10.1080/12460125.2012.729182
Gross, D., Akaiwa, F. & Nordquist, K. (2014), Succeeding in business with microsoft excel 2013: A problem solving approach, Cengage Learning, Stamford, USA.
Hashmi, A. (2015), Do you need a balanced scorecard for performance measurement? Print Replica Kindle Edition.
Kaplan, R. & Norton, D. (1992), The balanced scorecard as a strategic management system, Harvard Business Review pp61-66.
Kaplan, R. & Norton, D. (1996), The balanced scorecard-translating strategy into action, Harvard Business School press, Boston.
Kopanakis, I., Vassakis, K. and Mastorakis, G., (2016), Big data in data-driven innovation: the impact in enterprises' performance. In Proceedings of 11th Annual MIBES International Conference, 22nd of June-24th of June (pp. 257-263).
Nørreklit, H, Nørreklit, L, Mitchell, F, Bjørnenak, T, (2012) 'The rise of the balanced scorecard! Relevance regained?', Journal of Accounting & Organizational Change, Vol. 8 Iss: 4, pp.490 - 510.
Russom, P., 2011. Big data analytics. TDWI best practices report, fourth quarter, 19(4), pp.1-34.
Srinivasa, S. and Bhatnagar, V., 2012. Big data analytics. In Proceedings of the First International Conference on Big Data Analytics BDA (pp. 24-26).
Winston, W. L. (2011), Excel 2010: Data analysis and business modelling, Microsoft Press, Washington, USA.
CS 340 Milestone One Guidelines and Rubric Overview: For this assignment, you will implement the fundamental operations of create, read, update,
Retail Transaction Programming Project Project Requirements: Develop a program to emulate a purchase transaction at a retail store. This
7COM1028 Secure Systems Programming Referral Coursework: Secure
Create a GUI program that:Accepts the following from a user:Item NameItem QuantityItem PriceAllows the user to create a file to store the sales receip
CS 340 Final Project Guidelines and Rubric Overview The final project will encompass developing a web service using a software stack and impleme
