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Tableau
Overview
HQ Location
United States
Year Founded
2003
Company Type
Public
Revenue
$1-10b
Employees
1,001 - 10,000
Website
Stock Ticker
NYSE:DATA
Twitter Handle
Company Description
Tableau is an excellent data visualization and business intelligence tool used for reporting and analyzing vast volumes of data. It is an American company that started in 2003—in June 2019, Salesforce acquired Tableau. It helps users create different charts, graphs, maps, dashboards, and stories for visualizing and analyzing data, to help in making business decisions.
IoT Solutions
Designed for the individual. Scaled for the enterprise: When it comes to elevating people with the power of data, only Tableau combines a laser focus on how people see and understand data with the kind of robust, scalable platform you need to run even the world’s largest organizations. Learn more about how the Tableau platform helps you turn your data into insights that drive action―while making your IT team happy, too. Interactive, visual analysis lets you untangle thorny business questions and quickly get to the insights that propel your business forward. Powered by our patented VizQL technology, Tableau gives you powerful analytics to ask deeper questions and deliver more meaningful answers.
Key Customers
Verizon, Honeywell, Lenovo, Lufthansa
IoT Snapshot
Tableau is a provider of Industrial IoT analytics and modeling, platform as a service (paas), application infrastructure and middleware, and sensors technologies, and also active in the automotive, cement, consumer goods, education, finance and insurance, and retail industries.
Technologies
Use Cases
Functional Areas
Industries
Services
Technology Stack
Tableau’s Technology Stack maps Tableau’s participation in the analytics and modeling, platform as a service (paas), application infrastructure and middleware, and sensors IoT Technology stack.
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Devices Layer
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Edge Layer
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Cloud Layer
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Application Layer
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Supporting Technologies
Technological Capability:
None
Minor
Moderate
Strong
Case Studies.
Case Study
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.
Case Study
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).
Case Study
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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