Xinjie Chen 3-30-23
Due to the inherent growth in the electronic production and storage of information, there is often a feeling of “information overload” or inundation when facing the process of quantitative decision making. As an analyst your job will often be to conduct analyses or create tools to support quantitative decision making. A principle tool used in industry, goverment, non-profits, and academic fields to compensate for the information overload is the information dashboard. Functionally, a dashboard is meant to provide a user with a central resource to present in a clear and concise manner all the information neccessary to support day-to-day decision making and support operations.
The objective of this laboratory is to plan, design, and create an information dashboard to support quantitative decision making. To accomplish this task you will have to complete a number of steps: 1. Delineate the necessary decision (I will do that below). 2. Identify what information will be relevant to decision making. 3. Find and collect the data necessary to create your visualization plan. 4. Organize and summarize the collected data. 5. Design and create the best visualizations to present that information. 6. Finally organize the layout of those visualizations in a way that conforms to the theory of dashboarding. 7. Write a summary about what decisions you made based on the visualizations that you developed.
You make investments for an organization, your objective is to purchase securities/commodities for the key objective of maximizing profits. You want to make an investment in securities/commodities to make some short term gains. You are considering investing in one of any four companies, for example: Twitter (TWTR), Microsoft (MSFT), or Apple (AAPL) (don’t use these). Choose 4 companies, commodities or any financial instrument you like, and determine which one of the four will produce the most short term gains. Use your imagination.
Based on the finance reports, Marriot has strong stock demonstrated a mixed performance when compared to some of its competitors, such as Hilton, IHG and Disney. Marriott International closed with a high gains and it leads the hotel and hospitality industry. The averages are calculated using the data from 6 months. By comparing each of the key metrics to the median, we could clear see the general conclusion about the quality of the company’s financial condition and it is more staple than others. By looking at the lines of four companies, Marriott has a stronger compensation and I decided to break down each company’s financial report an it is clear to see the potentials.