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Tableau > Case Studies > Ferrari and Maserati of North America Revs Up Its Data Analysis with Tableau Software
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Ferrari and Maserati of North America Revs Up Its Data Analysis with Tableau Software

Technology Category
  • Application Infrastructure & Middleware - Data Visualization
Applicable Industries
  • Automotive
Applicable Functions
  • Sales & Marketing
Use Cases
  • Real-Time Location System (RTLS)
  • Supply Chain Visibility
Services
  • Data Science Services
The Challenge
Ferrari and Maserati of North America were facing challenges in their data analysis process. The process of generating and sharing reports for retail sales analysis, service and repair orders, and monthly expenditures was time-consuming and involved manually entering data into Excel files and distributing that static information via email. This method was not only inefficient but also did not allow for real-time interaction with the data.
About The Customer
Ferrari and Maserati of North America are luxury carmakers that import cars for distribution and sale in the United States, Canada, and South America. They provide after-sales assistance to their dealer network, which includes marketing, sales, customer service, technical training, and warranty administration. In addition to these services, Ferrari and Maserati of North America also advise Ferrari and Maserati S.p.A. on product development for its market and participate in motor sports, cultural, and philanthropic activities.
The Solution
Ferrari and Maserati of North America implemented Tableau Desktop and Tableau Server to streamline their data analysis process. The implementation was done in-house, keeping the cost of deployment within budget. With Tableau, users can interact with company data in real-time and access personalized views and dashboards from the company's Intranet, a Microsoft SharePoint/Tableau Server-based portal. This has made the process of generating and sharing reports for retail sales analysis, service and repair orders, and monthly expenditures much easier and more efficient.
Operational Impact
  • Streamlined data analysis process
  • Real-time interaction with company data
  • Easy generation and sharing of reports

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