A multinational organisation is about to embark on a project to implement a data warehousing solution alongside the formation of a business analytics department at its corporate headquarters.
In your role as a Business Data & Analytics Consultant you have been employed by the organisation to advise them on the processes and potential for the planned implementation.
You will prepare a maximum 4,000 word report for the organisation on the following areas:
1. Outline what data & information will be available to the organisation. This will need to include a summary of the organisation in geographical, operational and product/service terms.
2. Summarise from the literature what is meant by ‘data warehousing’ and how it can be used in conjunction with the data & information identified in section 1 above.
3. Provide an overview of the issues and processes involved in the implementation and adoption of the data warehouse.
4. Illustrate how three separate advanced business analytics techniques (for example; optimisation, probability distributions, regression etc) can be employed by the business analytics department, to inform organisational decision making, once the data warehouse is fully operational. Students can use actual data if available or simulated data to illustrate the separate techniques.
It is expected that the report will contain charts, graphs, tables etc. as appropriate.
Assessment II – Key Points
1. Choose an organisation that makes the task easy / interesting / perhaps relevant to other studies and / or future career path.
– Who the organization is
– Where are they based
– Headquarters and regional pops
– How many shops
– How they distribute to customers
– What are their operations and their touch points
2. Don’t get too technical. This is not a computer science degree. No need to go into detail about architecture etc. (Kimball’s work goes too deep) other than the structure of a data warehouse.
3. Implementation is from an organisational behaviour perspective (e.g. Wixom & Watson 2001) rather than a technical perspective. How to implement data warehousing to support strategic and tactical decision making
4. 4,000 words is an absolute max. It may be far more than you need. Charts and diagrams are good!
5. The analytics methods to use on actual or, more likely, simulated data are three from data modelling, optimisation, probability distributions, data mining, regression and forecasting. correlation, weighted moving average, exponential smooth, visualizing data, SPSS.
6. Google Scholar is very useful for finding key academic papers, citation trails etc. Number of citations indicates the importance of the research. We expect you to draw upon academic research (journals etc.) to inform parts 2 and 3. Again, don’t go too deep and don’t go off on tangents etc. A paper’s abstract is a good indicator of whether it will be useful or not. Some journal articles may have free pdf / html links; others will need to be sourced through.
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