Create a reflective and applied statement describing how the learning from Weeks

Create a reflective and applied statement describing how the learning from Weeks 1–4 has affected your thought processes, development, and professional disposition. Reflect on your learning process (i.e., challenges, moments of discovery, life experiences, and interactions) in your statement, in addition to addressing:
What did you learn over the past 4 weeks?
How did it change your thinking?
How will this learning change your future behavior and approach to these topics
Include questions for your faculty member regarding material that may still be unclear.
Format any citations and references in your reflective statement according to APA guidelines.
Things learned in Wks 1-4
Week 1- Describe the major issues an organization will face when implementing a business intelligence (BI) system. Consider your personal experiences with change and innovation. Discuss how incorporating BI will impact day-to-day business practices. Create a graphical depiction of the DIKW model relevant to your selected organization.
Week 2- Describe the major data categories. Explain which types of data are best to utilize for analytics and BI. Support your answer.
Week 3- Examine the function and influence oftechnology in organizations through people, processes, and information. How would you articulate your understanding of the TAM? What is the relevance of this model to your organization? How could the TAM be used to improve organizational technology implementation? Explain your answer. Research sociotechnical systems and related models.
Week 4- Discuss the main data-mining methods. Explain the fundamental differences between the data-mining methods. Understand the applications of prescriptive analytics techniques in combination with reporting and predictive analytics. Understand the basic concepts of analytical decision modeling. Understand the concepts of analytical models for selected decision problems, including linear programming and simulation models for decision support