Highlights
Your Task
Complete Parts A to C below by the due date. Consider the rubric at the end of the assignment for guidance on structure and content.
Assessment Description
• You are to read case studies provided and answer questions in relation to the content, analytics theory and potential analytics professionals required for solving the business problems at hand.
• Learning outcomes 1 and 2 are addressed.
Assessment Instructions
Part A: Case Study Analysis
Instructions: Read the following case study:
Based on this case study discuss:
a) The industry to which analytics has been applied
b) The business problem to be solved
c) The type of analytics used, and how it was used to address that business problem
d) The main challenge(s) of using this type of analytics to achieve a business objective
e) Recommendations regarding how to assist stakeholders adapt to the changes outlined in the article.
Part B: The Role of Analytics in Solving Business Problems
Instructions: Describe one type of analytics (from Workshop 1) and evaluate how it could be used as part of a solution to a business problem with reference to ONE real-world case study of your own choosing. You will need to conduct independent research and consult resources provided in the subject.
Part C: Developing and Sourcing Analytics Capabilities
Instructions: You are the Chief Analytics Officer for Telefonica, the largest telecommunications company in South East Asia and Latin America. The organization is undergoing significant transformations; it is scaling back operations in existing low revenue segments and ramping up investments in next generation products and services - 5G, cloud computing and Software as a Service (SaaS). Telefonica is keen to develop its data and analytics capabilities. This includes using technology for product innovation and for developing a large contingent of knowledge workers.
To prepare management for these changes, you have been asked review Accenture’s report and publish a short report that addresses the following key points:
1. How do we best ingrain analytics into our decision-making processes?
2. How do we organize and coordinate analytics capabilities across the organization?
3. How should we source, train and deploy analytics talent?
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