Write a Quantitative Literacy Case Study about a consultant providing advice to an industrial client who wishes to diversify their strategic portfolio

Quantitative Literacy Case Study (1200 words)•Task Background:Assessment Task 2 is Fermi Problem. In Strategic Management we are using the Fermi Problem to demonstrate quantitative numeracy skills. Students will, with limited data, make effective approximate calculations modelling strategic efficiency. This is a synthetic study, and there is no right or wrong answer to the Fermi Problem, however some answers may be more detailed and accurate than others. •Task Purpose:The purpose of this Assessment Task is to have you undertake a strategic analysis demonstrating quantitative literacy. Quantitative literacy is a required Graduate Capability for this subject.Quantitative literacy will be assessed within the following sub-tasks:1) Creation of a numeric dataset based on specific organizational activities;2) Interpretation of that numeric dataset;3) Creating a synthetic model showing calculations with the dataset as a basis;4) Extrapolation and explanation of outcomes for the synthetic model. ###Case Background and Requirements:You are a consultant providing advice to an industrial client who wishes to diversify their strategic portfolio by acquiring a company that currently owns thirty (30) residential properties in the suburbs ofKingsbury, Preston, Bundoora, and West Heidelberg immediately surrounding the La Trobe University Bundoora Campus.The properties are all be four (4) bedroom, two (2) bathroom townhouses and houses, and currently service the student accommodation market.To achieve an above average return your client needs advice on whether they should place all thirty (30) properties under the management of a real estate agent, or place them on AirBnB, or split the portfolio between a real estate agent and AirBnB.The revenue projection period for this task is one year.Requirements:Provide a structured 1200 word report for your client demonstrating the following:1. Research from realestate.com.au and AirBNB2. Systematic research identifying an anticipated efficiency figure* for your client’s AirBNB listed properties3. An assumed efficiency figure* for agency managed properties of 90%4. The weekly rate of return for properties, based on your efficiency figure*, in the suburbs of Kingsbury, Preston, Bundoora, and West Heidelberg found on both realestate.com.au and AirBnB5.