Prior to beginning work on this assignment, complete Levels 3 and 4 of the EI Games: Presentation Skills Course and watch the following videos How To Make A Good PowerPoint Presentation (Links to an external site.), Dealing With Objections (Links to an external site.), and How To Do A Good Presentation - 5 Steps To A Killer Opener (Links to an external site.).Level 3: Preparing for the Presentation presents information about developing the presentation. The preparatory actions include the following:Creating an argument,Appropriate casting,Creating a team,The importance of rehearsal,Opening the presentation,Visual aids, andFielding the team.Level 4: Closing to Win focuses on delivering the presentation. Critical areas associated with delivering the presentation include the following:Managing the presentation flow,Delivering a compelling close,Coping with objections,Taking appropriate postpresentation actions, andNegotiating effectively.While reflecting on the material offered in the EI Games: Presentation Skills Course and developing your paper, consider prior learning and prior work experience, in addition to the material presented. Disagreeing with the principles presented in Levels 3 and 4 is appropriate. However, do not reject the offered principles out of hand. Support acceptance or rejection of the offered principles with critical thinking and sound reasoning.After completing the Levels 3 and 4 activities, reflect on the situation presented in which a member of the presentation team had an emergency on the day of the presentation. The emergency was such that the team member is unable to deliver her part of the presentation. The solution proposed in the EI Games advised the team to explain the situation to the potential client and ask for a rescheduled presentation date.Create a summarized presentation problem contingency plan for the following issues:Audience members appear bored and uninterested in the presentation.Audience members frequently interrupt the presentation with objections.Audience members allude to the inconvenience they experienced because of the rescheduled presentation.Audience members ask probing questions the presentation team is unprepared to answer.Limit contingency summaries to no more than two paragraphs per contingency and one paragraph per identified concern.In your paper,Appraise the value or lack of value associated with asking for a presentation to be rescheduled because of an emergency.Frame your response with likely client reactions to the reschedule request.Determine three areas of concern the potential client might have based upon the reschedule request.The EI Games Presentation Skills Course: Coping With Emergencies paperMust be three to five double-spaced pages in length (not including title and references pages) and formatted according to APA Style

Purpose?  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 Review Call Center Waiting Time Part 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:   Write a 525-word summary covering 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 PE QueueTime: Time in Queue, in seconds ServiceTime: Service Time, in seconds Perform 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 ?=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 ?=0.05.   Assess if the new protocol served its purpose. (Hint: this should be a test of means for 2 independent groups.) 

Question 1 Find the number of active users (1 Day, 7 Day, 14 Day, and 28 Day) during July 2020. Calculate the ratio of 1 Day Active Users to 28 Day Active Users, expressed as a percentage. Typically, this ratio is considered a measure of the “stickiness” or retention of users for your website. It should be 10% or higher for sites where content is refreshed daily, like news sites, or where the site derives its revenue primarily from advertising. For social sites like Facebook and WhatsApp, the ratio could be a lot higher (>50%). For Ecommerce sites like CompanyOne, where usage is less frequent but of higher monetary value, the ratio is typically lower than 10%. Also, compare the graphs for 1 Day Active Users to 28 Day Active Users. What conclusions can you derive? Please provide a screenshot to support your analysis. Note: Active Users refers to the number of users who visited the CompanyOne website within the last 1, 7, 14 or 28 days looking back from the last day of the period which in this case is July 31, 2020. The metrics in the report are relative to the last day in the date range. Given that your date range is July 1 to July 31: 1 Day Active Users: the number of unique users who initiated sessions on your site or app on July 31 (the last day of your date range). 7 Day Active Users: the number of unique users who initiated sessions on your site or app from July 25 through July 31 (the last 7 days of your date range). 14 Day Active Users: the number of unique users who initiated sessions on your site or app from July 18 through July 31 (the last 14 days of your date range). 28 Day Active Users: the number of unique users who initiated sessions on your site or app from July 4 through July 31 (the entire 28 days of your date range). Question 2 Plot graphs of 1 Day Active Users for the second quarter in 2019 and the second quarter in 2020. Compare the number of active users for both periods from the two plots. What do you conclude about the change in marketing effectiveness, if any, from 2019-Q2 to 2020-Q2? Please provide a screenshot to support your analysis. Question 3 Compare Bounce Rate for 2020-Q2 to 2019-Q2. What do you conclude? Similarly, compare Pageviews for 2020-Q2 to 2019-Q2. Please provide screenshots to support your analysis. Question 4 CompanyOne wants to focus on younger users (18-24 and 25-34) who shopped during the 2019 holiday shopping season. Has the share of younger users changed from the holiday shopping season in 2018? Note: November 1 and December 31 are the start and end dates for the holiday shopping season for CompanyOne. How about changes in the proportions of older users during the same period? Please provide screenshots to support your answer. Question 5 What about gender? CompanyOne’s objective was to attract a larger proportion of female visitors to their online store during the 2019 holiday shopping season as compared to the same period in 2018. Was that objective met? Please provide a screenshot to support your answer. Question 6 CompanyOne has invested in a targeted marketing campaign to attract new users to their online store since the beginning of 2020. Did CompanyOne attract more or fewer new users from January - June 2020 compared to the same period in 2019, irrespective of gender? What about new male users? What about new female users? Please provide screenshots to support your answer. Question 7 (a) What were the top three countries which sent users to the CompanyOne online store in 2019? In 2018? (b) When parsing the percentage change in the number of new users, by country of residence, which one of the three countries identified in (a), had the best percentage change in new users during 2019 as compared to 2018? Which one of the same three countries showed the least improvement? Use the whole year for your comparison. Please provide a screenshot to support your answer. (c) What were the top five U.S. states which sent users to the CompanyOne online store in 2019? Question 8 CompanyOne wishes to target high-value users in future marketing campaigns. These are user groups with the highest Ecommerce Conversion Rate or Average Order Value. Which age group generated the highest revenue for CompanyOne in 2019 in dollars? How much was the revenue from this age group? Which age group generated the least revenue? Which age group had the highest average order value? Which age group had the highest Ecommerce Conversion Rate? Based on these observations, which age group or groups should be the focus of CompanyOne’s marketing efforts during 2020? In other words, which age group is likely to provide the most bang for the buck? CompanyOne desires to examine the performance across the six age groups in further detail. You will examine the Ecommerce data by selecting two dimensions: gender and age. Which gender and age group combinations had the highest and second highest revenue in 2019? Similarly, which gender and age group combinations had the highest and second highest average order value in 2019? What would be your recommendation to CompanyOne based on this analysis? Provide screenshots to support your answers. Question 9 CompanyOne wishes to understand its site visitors better in order to fine tune its future marketing efforts. Understanding audience composition in terms of gender, age, and interests will allow CompanyOne to develop the right creative content and decide the media buys to make. Google Analytics has over 100 affinity categories such as: Shoppers/Value Shoppers Lifestyles & Hobbies/Business Professionals Sports & Fitness/Health and Fitness Buffs Technology/Technophiles Banking and Finance/Avid Investors Travel/Travel Buffs Travel/Business Travelers Media and Entertainment/Movie Lovers Lifestyles and Hobbies/Art and Theater Aficionados Media & Entertainment/Music lovers and many more ... Identify the top three affinity categories for CompanyOne by gender: male and female, for 2019 in terms of the revenue from each affinity category. Please provide screenshots to support your answer. Question 10 The two things every online business like CompanyOne cares about: users who convert (purchase a product) and users who don’t. Understanding users who convert (Converters) will help CompanyOne refine successful aspects of their marketing, and show them where they can improve their efforts to reach users who demonstrate untapped potential (Non- Converters). Developing insights into why certain users aren’t converting lets them address the weak spots in how they approach them. For the purpose of this analysis, CompanyOne wishes to focus on the Back to School shopping season (July 15, 2019 to September 15, 2019). CompanyOne wishes to obtain statistics of users, sessions, sessions per user, page views, average session duration and bounce rate for these two segments (Converters and Non-Converters). Comment on these statistics. Finally, evaluate the differences in user conversion by gender. Provide screenshots to support your analysis.