University : Griffith University UniLearnO is not sponsored or endorsed by this college or university.
Subject Code : 1008GBS
Country : Australia
Assignment Task

 

CASE STUDY

Harley Davidson New York Who wants to ride a Harley Davidson? It was winter in New York City and Asaf Jacobi’s Harley-Davidson dealership was selling an average of two motorcycles a week. It wasn’t enough. Jacobi went for a long walk in Riverside Park and happened to bump into Or Shani, CEO of an AI (Artificial Intelligence) firm, Adgorithms. After discussing Jacobi’s sales woes, Shani suggested he try out Albert, Adgorithm’s AI-driven marketing platform. It works across digital channels like Facebook and Google to measure and autonomously optimise the outcomes of marketing campaigns. Jacobi decided he’d give Albert a one-weekend audition. That weekend Jacobi sold 15 motorcycles.

It was almost twice his all-time summer weekend sales record of eight. Naturally, Jacobi decided to trial Albert for three months to determine future growth opportunities and strategy. In addition, previously Jacobi’s dealership had only offered motorcycles for sale. So, at the start of the Albert trial, Jacobi introduced motorcycle gear (helmets, gloves, protective clothing & footwear) as an additional offering.

QUESTIONS: You have been hired by Jacobi to analyse the data and provide the necessary reports to help him decide which option will be best for the dealership. He has set out some key information that he requires:

1. Over the three months, what is the total sales for the dealership, and how is this broken down across in-store and online sales? Provide a relevant chart with your answer clearly detailing the necessary information.

2. What are the in-store and online customers spending, on average, for motorcycles? Choose a different chart (to that used in Q1) to visualise this information.

3. What are the in-store and online customers spending, on average, for gear? Choose the best chart to visualise this information.

 

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  • Uploaded By : Brett
  • Posted on : July 17th, 2019

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