Suppliers
United States
Tableau
Overview
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Tableau |
| United States | |
| Seattle | |
| 2003 | |
| Public | |
| NYSE:DATA | |
| $1-10b | |
| 1,001 - 10,000 | |
| Open website |
IoT Snapshot
Technology Stack
Case Studies
Number of Case Studies11
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Bentley Motors' Digital Transformation with Tableau Self-Service Analytics
Bentley Motors, a globally recognized luxury car brand, was facing a significant challenge in the wake of the automotive industry's unprecedented changes. The company, known for its bespoke luxury cars, realized the need for a transformation to ensure its long-term success. This transformation was not only about switching to an all-electric portfolio of vehicles by 2030 but also about implementing effective digital transformation throughout the company. The goal was to streamline operations, improve customer service, and solidify Bentley's position as a global automotive leader. The company also aimed to enhance its customer experiences, which are a key hallmark of Bentley, through a more data-driven approach. However, the challenge was to find a solution that could help them achieve these goals. |
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AmFam's Transformation through Tableau Embedded Analytics
American Family Insurance (AmFam), a private mutual insurance company, faced challenges in providing data support to its local and regional agencies. These agencies, organized as independent contractors, are a crucial part of the AmFam data ecosystem, utilizing corporate data to optimize their sales and customer service contributions. However, the existing system was siloed and offline, making it difficult for agencies to access and analyze data. AmFam sought to improve the delivery of analytics to its agents, particularly around product availability, performance metrics, and expected business results. The challenge was to replace the siloed data sources and offline workflows with a secure portal that integrates insights into existing user interfaces (UI). |
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Anadolu Sigorta's Transformation into a Data-Driven Insurance Company
Anadolu Sigorta, Turkey's first national insurance company, was facing challenges in identifying and investigating fraudulent claims, a process that was extremely time-consuming and detracted from their ability to serve genuine claims efficiently. The company was dealing with disparate data sources, legacy systems, and manual work processes, making it difficult to identify and eliminate fraudulent claims. Additionally, as a 95-year-old company, Anadolu Sigorta had many legacy systems and applications throughout the business, creating a fragmented ecosystem that was hard to work with. They had multiple production environments for the same process, leading to problems with data quality, reliability, and effective governance. The company also faced cultural challenges, with employees and external distributors resistant to modern data visualization trends. |
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