Treasure Data

Treasure Data

The end-to-end, fully-managed cloud service for Big Data, that’s trusted and simple.

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$234m

Growth Equity VC
Total Funding000k
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Treasure Data, founded in 2011, is a company dedicated to helping large businesses manage and make sense of their complex data. The company operates in the customer data platform (CDP) market, which focuses on collecting and organizing customer data from various sources to provide a unified view of each customer. This helps businesses understand their customers better and personalize their marketing efforts more effectively.

Treasure Data primarily serves large enterprises across various industries, including retail, automotive, and technology. These clients often have vast amounts of customer data spread across different systems and need a way to bring it all together to make informed decisions. By using Treasure Data's platform, businesses can improve their marketing campaigns, enhance customer experiences, and achieve better operational efficiency.

The company's business model is based on a subscription service. Clients pay a recurring fee to access Treasure Data's platform and services. This model provides a steady stream of revenue and allows Treasure Data to continue investing in its technology and expanding its capabilities.

Treasure Data makes money by offering a range of services, including data integration, data management, and analytics. These services help businesses collect data from various sources, organize it in a meaningful way, and analyze it to gain actionable insights. The company also offers tools for predictive analytics, which help businesses forecast future trends and behaviors based on historical data.

In summary, Treasure Data helps large businesses manage and analyze their customer data to improve marketing efforts and customer experiences. The company operates in the customer data platform market and makes money through a subscription-based model.

Keywords: Customer Data Platform, Data Integration, Data Management, Analytics, Predictive Analytics, Marketing Personalization, Operational Efficiency, Subscription Service, Enterprise Clients, Customer Experience.

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