Digital Analytics, Big Data and Technologies Portfolio Report
VerifiedAdded on  2021/06/14
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AI Summary
This portfolio assignment, created for the Digital Analytics, Big Data and Technologies course (MBA633), showcases the application of digital analytical tools in various business contexts. It begins with an introduction highlighting the impact of globalization and technology on businesses, emphasizing the use of big data and analytical tools for strategic decision-making. Part A focuses on the application of tools like SPSS, Excel, and Tableau in sales forecasting, client profiling, and environmental management, respectively. Each tool is described in terms of its capabilities, associated job roles, and business applications. Part B provides a self-reflection on the student's expertise in these tools, using Kolb's reflective cycle to assess their current knowledge and identify areas for skill development. The reflection includes an analysis of the student's understanding of SPSS, Excel, and Tableau, highlighting their strengths and weaknesses and outlining a plan for continuous learning and improvement through active experimentation and real-world case studies. The portfolio concludes with a call for further learning and skill enhancement to achieve the goal of becoming a senior data analyst manager.