proper hardvard referencing needs to be done both intext and bibliographyAssessment Instructions Part A: Case Study Analysis (700 words, 10 marks) Instructions: Read the following two case studies. For EACH case study, briefly describe: a) The industry to which analytics has been applied. b) A business problem arising from the case study. 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 execute the development and deployment of analytics in a way that maximises acceptance and buy-in from stakeholders. 1. Big Data for Consumers: The Internet of Things revolutionlondonessays.com 2. GE Power: Big Data, Machine learning And âThe Internet of Energyâ londonessays.com B: The Role of Analytics in Solving Business Problems (500 words, 8 marks) Instructions: Describe two different types of analytics (from descriptive, predictive, prescriptive, automation) and evaluate how each 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 (800 words, 12 marks) Instructions: You are the Chief Analytics Officer for Telekonika, 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). Telekonika 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 Accentureâs report (see link below) 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? 4. Discuss the key success factors that underpin and define an organisationâs journey toward becoming analytics driven. To help you draft this report, you should review the following working paper from Accenture:londonessays.com