Tableau Case Studies Tableau's Role in Transforming BMW Group Germany's Data Analytics

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	Tableau's Role in Transforming BMW Group Germany's Data Analytics Tableau

Tableau's Role in Transforming BMW Group Germany's Data Analytics

Tableau

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	The implementation of Tableau has led to a significant cultural shift within BMW Group Germany. The company has seen improved consistency in data across the business, leading to more informed decision-making at all levels. The use of dynamic filtering in Tableau has transformed meetings, shifting the focus from what is happening to why it is happening. This has led to faster business responses to market trends and challenges. The insights generated are also being used to spark new conversations with dealers, helping them improve their performance. The company has also created a dealer steering dashboard in Tableau, which allows them to identify and understand the key factors in the success of their best-performing dealers.

Impact #1

The implementation of Tableau has led to a significant cultural shift within BMW Group Germany. The company has seen improved consistency in data across the business, leading to more informed decision-making at all levels. The use of dynamic filtering in Tableau has transformed meetings, shifting the focus from what is happening to why it is happening. This has led to faster business responses to market trends and challenges. The insights generated are also being used to spark new conversations with dealers, helping them improve their performance. The company has also created a dealer steering dashboard in Tableau, which allows them to identify and understand the key factors in the success of their best-performing dealers.

Benefit #1	In less than two years, Tableau usage has grown from zero to over 60 percent of the workforce in Germany.
Benefit #2	Consolidation of 60+ data sources into a single automated dashboard for tracking KPIs.
Benefit #3	Enabled real-time data analysis, leading to faster business response to market trends and challenges.

Benefit #1

In less than two years, Tableau usage has grown from zero to over 60 percent of the workforce in Germany.

Benefit #2

Consolidation of 60+ data sources into a single automated dashboard for tracking KPIs.

Benefit #3

Enabled real-time data analysis, leading to faster business response to market trends and challenges.

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Overview

Tableau's Role in Transforming BMW Group Germany's Data Analytics

Operational Impact

Quantitative Benefit