FAU Big Data and Predictive Analytics in The Car Industry Overview Presentation

It is no surprise that data analytics has become an important tool across organizations. According to Robert Hetu, research director at Gartner, “Advanced analytics tools enable deeper insights and discovery that will challenge business assumptions. They also put information in the hands of business analysts and business users and offer significant potential to create business value and competitive advantage.” Among many benefits, using data can help companies save thousands of pounds, improve their procurement efficiency, develop their marketing strategies, support business growth and, critically, differentiate themselves from competitors.

With that in mind, you are presenting on how companies use Big Data and Predictive Analytics to achieve a competitive advantage. Of course, not all companies use this data the same way. Additionally, mishandling data, as did Equifax and Uber, can lead to serious consequences. That’s why it must be done correctly.

You or your team will take an industry, find the top three or four firms in that industry, and talk about how they use Big Data and Predictive analytics within their firm and across the industry. The presentation must include, but should not be limited to, the following:

• Cover Page
• Introduction
• Industry overview
  • Main players in the industry
  • How is the industry doing?
    • Industry life cycle
    • Dying or rising?
  • How are data used industry wide?
  • Where is the industry going?
  • How do the main players develop the industry?
  • Will the industry continue as it has in the past?
• Individual Companies
• Company Overview
  • What is the primary product/service of the company?
  • What are the annual sales?
  • How do they compare to the others in the industry?
• What data do they gather?
  • Why are those data important to them?
  • How do they gather the data?
  • What results do they see?
  • How do they use the data to achieve a competitive advantage?
  • When it comes to gathering data, how are they the same as other firms? How are they different?
• Have there ever been any data breaches?
• Do they use outside consultants?
• Conclusion
• ReferencesF