In order to address CLA #2, you need to pick either Chapter 1 (Walmart), Chapter 3 (Netflix), Chapter 13 (Royal Bank of Scotland), Chapter 15 (Microsoft), OR Chapter 18
(Nest) from the fllowing book (available from the library, or click on the link below):
Marr, B. (2016). Big. Data in Practice: How 45 Successful Companies used Big. Data Analytics to deliver Extraordinary. John Wiley and Sons Ltd., West Sussex.
The chapters in the book showcase positive impact of Data & the benefts of Analytics in each of the respective organisation. However, there are concerns that are not clearly
highlighted in any of the chapter. The extensive use of data and the data being collected may raise an ethical dilemma. Provide a critical discussion centered on the Ethical issues
in collecting/capturing/sourcing. retaining, and utilising the massive data by your chosen organisation. In the discussion, the support from the literature will be required (i.e., in-
Make sure to reference your sources correctly (both the in-text references and the details in the reference list). References are not included in the word count. Please
use Swinburne Harvard Referencing Style (check out the Swinburne Online Library if you are unsure).
Please go through the marking criteria (including the requirements on scholarly references) so you are aware on how your responses will be assessed. If you have any question or
want further carifcation, please post it in the Continuous Learning Activities discussion thread.
What is Continuous Learning Activities
The Continuous Learning Activities (CLA) is a series of tasks (to be done on select weeks) requiring you to (amongst others) explore emerging and/or important issues/topics related
to Business Intelligence.
Each CLA will have a different scope and focus, these are normally ‘tied onto’ the topics of the learning materials. Critical thinking, analysis, and synthesis are highly valued;
however, this should not be just an opinion piece. Evidence of readings of scholarly materials (peer-reviewed papers) is highly valued, particularly in justifying, exemplifying. and
supporting your arguments, opinion, and analysis.