Hello everyone. This is Dr. Zhao. In this video, I will provide an overview on job intelligence, that is, the job opportunity analysis to identify the dream jobs. As we discussed earlier in week 1, a dream job for most people is something that you like to do and also makes you tons of money, in another word. Most people prefer jobs with a higher pay but a lower effort, jobs with a career path, and security. In order to find a dream job, one has to make three decisions wisely based on data analysis. First on region, that is where to locate, second on industry, that is which industry to enter, and finally, the company, which company to work for. To perform the analysis, we use the data of the S&P 500 companies because they're representative in their respective industry sectors, and many of them are well-known that people like to work for. Finally, we limit our study to these companies, so the amount of data is manageable but not overwhelming. To put the S&P 500 companies into perspective, let's compare their total revenue and the operating profit with those of the publicly traded companies in China. From this picture, we can see that in year 2017, the S&P 500 companies have a total revenue larger than all the publicly traded companies headquartered in China, which is the second largest economy in the world. Indeed, 95 percent of the S&P 500 companies are headquartered in the United States, with the rest headquartered in European Union. In year 2017, the S&P 500 companies which are on the right, also have a larger total operating profit than all the publicly traded companies headquartered in China, which is on your left, and the profit distribution of the S&P 500 companies is more evened-out than latter because for China, the operating profit is highly concentrated on the banking system. We shall use GCPS, the global competition positioning system to perform the analysis. This is a benchmarking system with three parts and each answers a different group of questions. The first part is business-geographic information system, which benchmarks regions and answers the questions of where, such as where is the money, risk, and jobs? The second part is industry analysis, which benchmarks industries and answers the question of, in which industry we can make more profit with less effort? The third part is enterprise diagnosis, which benchmarks companies and answers the questions on competition positioning, such as the strength and weakness of a company. Here is the website. You can either sign in or sign up. Once you sign in, you can open "My Workspace" on a top bar to access your projects. In your workspace, you can either edit an existing project or create a new one. To create a new project, please enter a project title and abstract. When you edit the project, you can add page here, you can save the project here, and then preview the project here. You can also reorder or rearrange the page sequence here. Now, you can also change the project title and abstract by clicking on this link. On this page, you can enter the page title here and enter your notes inside here. For new page, you have three choices. First, upload an image to the page; second, create some analysis on the page; and third, create a template page. For instance, click on the button of "Analysis Tools" brings you a dropdown menu where you can select all kinds of analysis models. It will be much easier for you and other people to understand and appreciate your analysis if you can include some template pages into your projects, such as the title page, the content page, and split page, to summarize your findings. Once you are done with the project, please save the project by clicking on the "Save All" button. Then you can preview the project, that is, see how it appears in public by clicking on the "Preview" button. This is how the project looks like under preview. You can share this URL with other folks. Go back to the front page and scroll it down, you can view other users and their work. For more information and a simple step by step guide, please go to the Frequently Asked Questions at the end of the front page.
