Large hotel chain operating in the US

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Scenario
You have recently been employed in a large hotel chain operating in the US. Your company own and manage a number of hotels over different classes (Economy, mid-scale, up-scale and upper upscale). Your hotel chain is Upscale Courtyard. (I need to analyze the data of Courtyard in VIRGINIA!!! No need to consider Miami and Tampa.)The board has asked you to conduct statistical research into the market. The company is experiencing a decline in Revenue across the board and needs to close some hotels.
In order for them to make an informed, well researched decision, you have obtained data from hotels in 3 of their key markets.
 Instructions:In all the questions you need to keep in mind your report will be read by management, so should be well organised, neat and easy to read.
All relevant files can be found in the folder “Project files” in week 8 of eLearning. There are Excel files on the 3 areas of the US that your company is considering. The Data is mostly in raw format. You need to find ways to simplify the Excel file and organise the data. Use separate Excel sheets for each section.
Things to includes in the analysis: Rates 2017 2018 2019
Q1&2 by Thursday this week
Investigate the complete market structure in all three main areas – CENSUS DATABASE FILE (Individual)
• What does the market look like in each area. (pie charts)• In each class, which hotel group (exclude Independents) has the biggest market share.• Where does your company fit it? More in the middle?upper?lower?• Who is your biggest competitor?• You may decide which chart types will make this data easiest to understand (Make sure to use charts other than pie for all 3 Qs). At least 3 different charts is needed to obtain the maximum mark. Bar, histogram, pie,(skew graph kurtosis)• Write an analysis and explain your findings using textboxes in the Excel file. [10]
Forecasting – (Individual)Using the Monthly Excel file, do forecasts of the occupancies for all your area. (Line charts)Combine the occupancy forecast with any other KPI forecast that you think will give the best indication of which area to consider for closure. (look at KPIs other than occupation and create forecast sheets for them as well)Which area is the least favourable and why?Include forecast sheets for each KPI you include.
Other Article:

e this, he implemented a food bonus of 200,000 bolivars (Quartz 2020) – that goes for individuals who are actually employed. It was predicted that Venezuela’s unemployment rate would have reached 50% by this year.. Venezuela’s unemployment rate – referring to the segment of the labour force actively seeking and able to undergo employment, without work – was forecasted to be 44.337% during the December period of 2019. An almost 10% increase since the year prior illustrating the apparent negative impact inflation has on employment (CEIC 2019). In the short term, individuals are likely to supply labour despite the acceleration in inflation due to the higher wages. According to the Phillips curve, inflation and unemployment maintain an inverse relationship meaning low levels of unemployment correspond to higher levels of inflation and high unemployment corresponds to lower levels of inflation – potentially deflation. Logically, this makes sense as high unemployment would put a downward pressure on prices of goods and reduce inflation. This is because a lack of income makes excess expenditure less permissive. However, in the case of Venezuela, it differs. Venezuela is undergoing extremely high inflation as well as relatively high unemployment rates. When unemployment is high, the supply for labour is traditionally greater than the demand for it, as the number of individuals seeking work significantly exceeds the number of jobs available. Therefore, increasing wages as a means of employers bidding for the service of employees is unnecessary – and so wages remain stagnant during inflation periods. As Venezuela demonstrates, an economy can encounter high inflation alongside low economic growth at one time. Several technical explanations can be proposed with regards to why the country’s economic growth is in deficit. A primary one being the concept of demand-pull inflation which comes about as a result of the demand for goods surpassing the supply available. However, no fundamental increase in aggregate demand was displayed in the case of Venezuela. Instead, the supply fell considerably short. The lack of foreign currency reserves lead to the inability to import fundamental commodities beyond a particular point causing a demand-pull inflation. What’s more, producers increased the prices of their goods and services in o>

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