Technology Category
- Sensors - Autonomous Driving Sensors
- Sensors - Level Sensors
Applicable Industries
- Automotive
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Retail Store Automation
- Visual Quality Detection
About The Customer
BMW Group Germany is a part of the globally renowned BMW brand, known for its automotive engineering excellence. The company produces 2.5 million vehicles annually, making it one of the largest commercial enterprises in Germany. At its national wholesale and retail business in Germany, BMW Group Germany uses data analytics to inform sales and marketing strategies, drive conversations with dealerships, and exceed KPIs at both national and regional levels. The company was seeking a solution to unify its disparate data systems and improve data consistency across the enterprise.
The Challenge
BMW Group Germany, one of the largest commercial enterprises in Germany, was facing significant data challenges. The company was dealing with multiple data sources, databases, and in-house systems, making it difficult to collate, analyze, and visualize information effectively. Employees were conducting their own isolated analytics and reporting, leading to data discrepancies. The senior leadership team recognized the need for a unified analytics platform that would provide a 360-degree view of data, support data-driven decision-making, and foster cross-functional synergies within the company.
The Solution
BMW Group Germany implemented Tableau as their overarching visual analytics solution. The back-end infrastructure was carefully designed to ensure seamless integration of Tableau with the existing systems. Tableau's automation features were particularly beneficial, allowing dashboards to be updated automatically with new data from different sources. This ensured that users always had access to the latest information for analysis. The ease of use of Tableau also enabled employees without a data background to quickly understand and use the platform. The company created a single automated dashboard to track KPIs at the senior executive level, allowing for in-depth analysis by car model, sales period, region, and more.
Operational Impact
Quantitative Benefit
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