Assignment ContentPurpose  This assignment is intended to give you an opportunity to strengthen your skills in gathering and analyzing business-related information. It provides a deeper understanding of how companies can look at globalization as part of their strategic and operational plans. The assignment has two parts: one focused on information research and analysis, and the other is on applied analytics. Resources: Microsoft Excel® "How Netflix Expanded to 190 Countries in 7 Years" from Harvard Business ReviewCall Center Waiting TimePart 1: Globalization and Information Research Context: Companies that perform well in their country of origin usually consider expanding operations in new international markets. Deciding where, how, and when to expand is not an easy task, though. Many issues need to be considered before crafting an expansion strategy and investing significant resources to this end, including: the level of demand to be expected for the company’s products/services presence of local competitors the regulatory, economic, demographic, and political environments Carefully researching and analyzing these and other factors can help mitigate the inherent risk associated with an overseas expansion strategy, thus increasing the likelihood of success. As a data analyst in your company’s business development department, you’ve been tasked with the responsibility of recommending countries for international expansion. You’ll write a report to the company’s executive team with your research, analysis, and recommendations. Instructions: Use text boxes within Excel to answer the following items: According to the article listed above, what were the most important strategic moves that propelled Netflix’s successful international expansion? The article mentions investments in big data and analytics as one of the elements accompanying the second phase of overseas expansion. Why was this investment important? What type of information did Netflix derive from the data collected? According to the article, what is exponential globalization? Not all international expansion strategies are a resounding success, however. Research an article or video that discusses an instance in which an American company’s expansion efforts in another country failed. According to the article/video you selected, what were the main reasons for this failure? Do you agree with this assessment? Explain some of the reasons why certain companies’ expansion plans have failed in the past. Part 2: Hypothesis testing Context: Your organization is evaluating the quality of its call center operations. One of the most important metrics in a call center is Time in Queue (TiQ), which is the time a customer has to wait before he/she is serviced by a Customer Service Representative (CSR). If a customer has to wait for too long, he/she is more likely to get discouraged and hang up. Furthermore, customers who have to wait too long in the queue typically report a negative overall experience with the call. You’ve conducted an exhaustive literature review and found that the average TiQ in your industry is 2.5 minutes (150 seconds). Another important metric is Service Time (ST), also known as Handle Time, which is the time a CSR spends servicing the customer. CSR’s with more experience and deeper knowledge tend to resolve customer calls faster. Companies can improve average ST by providing more training to their CSR’s or even by channeling calls according to area of expertise. Last month your company had an average ST of approximately 3.5 minutes (210 seconds). In an effort to improve this metric, the company has implemented a new protocol that channels calls to CSR’s based on area of expertise. The new protocol (PE) is being tested side-by-side with the traditional (PT) protocol. Instructions: Access the Call Center Waiting Time file. Each row in the database corresponds to a different call. The column variables are as follows: ProtocolType: indicates protocol type, either PT or PEQueueTime: Time in Queue, in secondsServiceTime: Service Time, in secondsPerform a test of hypothesis to determine whether the average TiQ is lower than the industry standard of 2.5 minutes (150 seconds). Use a significance level of α=0.05. Evaluate if the company should allocate more resources to improve its average TiQ. Perform a test of hypothesis to determine whether the average ST with service protocol PE is lower than with the PT protocol. Use a significance level of α=0.05. Assess if the new protocol served its purpose. (Hint: this should be a test of means for 2 independent groups.) Submit your calculations and a 175-word summary of your conclusions. Submit your assignment (including Excel template with computations and results as proof of work).https://hbr.org/2018/10/how-netflix-expanded-to-190-countries-in-7-years

Directions:To prepare for this Discussion, identify a program within an agency with which you are familiar, which could benefit from process evaluation and outcome evaluation. You do not need to identify the agency in your post. Also, review the different evaluation models highlighted in this week’s resources (needs assessment, program monitoring, client satisfaction study, outcome evaluation, or cost benefit study).Post a brief summary of the program that you selected. Recommend a program evaluation model that would answer a question relevant to the program. Explain the potential benefits of the program evaluation that you proposed (both process and outcome). Identify 2–3 concerns that stakeholders might have about your proposed evaluation and how you would address those concerns. Then explain 2–3 concerns that stakeholders may have about your proposed program evaluation and how you would address those concerns.Support your post with specific references to the resources. Be sure to provide full APA citations for your referencesDudley, J. R. (2014). Social work evaluation: Enhancing what we do. (2nd ed.) Chicago, IL: Lyceum Books.Chapter 1, “Evaluation and Social Work: Making the Connection” (pp. 1–26)Chapter 4, “Common Types of Evaluations” (pp. 71-89)Chapter 5, “Focusing an Evaluation” (pp. 90-105) Document: Logan, T. K., & Royse, D. (2010). Program evaluation studies. In B. Thyer (Ed.), The handbook of social work research methods (2nd ed., pp. 221–240). Thousand Oaks, CA: Sage. (PDF)Copyright 2010 by Sage Publications, Inc. Reprinted by permission of Sage Publications, Inc. via the Copyright Clearance Center.