Treasure Data

Overview

Founded in 2011 and based in Mountain View, California, this company specializes in customer data platforms (CDP) and data management and analytics software. Co-founded by Kazuki "Kaz" Ohta, Hironobu Yoshikawa, and Sadayuki Furuhashi, it is recognized for its AI-powered enterprise CDP, enabling large organizations to collect, unify, and analyze complex customer data from multiple sources to achieve a real-time customer view.

The platform supports data integration, management, analytics, and predictive analytics, assisting businesses in enhancing marketing personalization and boosting customer experiences. Serving enterprise clients across sectors such as retail, automotive, and technology—including AB InBev, Subaru, Stellantis, and Yum! Brands—the company operates on a subscription model with ongoing investment in product innovation. Substantial funding and industry recognition underscore its leadership and commitment to data solutions.

Basic Information

Contact Details

• Phone: +1 866-899-5386
• Website: treasuredata.com
• LinkedIn: linkedin.com/company/treasure-data-inc-

Key Focus Areas & Initiatives

• Data acquisition
• Data processing
• Advanced analytics
• Customer data
• Customer data platform
• Marketing
• 360 customer view
• 360 customer platform
• Data management
• Analytics
• Big data
• Business analytics
• Marketing analytics
• Analytics software
• PII
• SaaS
• CDP
• Customer experience
• Digital marketing
• Cloud computing
• Cloud data services
• Data integration
• Enterprise software
• Software
• Information technology
• Software development
• Data-driven marketing
• Enterprise data platform
• Customer identity resolution
• Predictive analytics
• Data privacy regulations
• E-commerce
• Services
• Data security and privacy
• Customer journey orchestration
• AI decisioning
• Data automation
• Data unification
• B2B
• Computer systems design and related services
• Data governance framework
• Data storage
• Customer segmentation
• Data enrichment
• Unified customer profiles
• Healthcare
• Real-time customer profiles
• Fluentd
• Data scalability solutions
• D2C
• Data privacy
• Customer personalization
• B2B marketing
• Artificial intelligence
• Data pipelines
• Data scalability
• Data compliance
• Data governance
• Customer data security
• Customer data unification
• Data monitoring
• Marketing automation
• Automotive
• Data management for large enterprises
• Cloud data platform
• Technology
• Open-source data collection
• Predictive modeling
• Data security protocols
• Data compliance tools
• Scalable cloud infrastructure
• Real-time data collection
• Customer acquisition
• Customer retention
• Food & beverage
• AI-driven personalization
• Real-time data processing
• Data streaming
• Data quality
• Data connectivity
• Data transformation
• Data orchestration
• Data security
• Predictive customer analytics
• Operational efficiency
• Retail
• Multi-source data integration
• APIs integration
• Data pipeline automation
• Sales enablement
• AI decisioning platform
• Multi-source data
• Enterprise data scalability
• Customer insights
• Data privacy compliance
• Financial services
• Enterprise data management
• Customer engagement
• Data science
• Data activation
• AI-powered analytics
• Data visualization
• Unified customer view
• Real-time data integration
• Journey orchestration
• Data collection
• Segmentation
• AI & machine learning
• Marketing solutions
• Cross-channel marketing
• Privacy management
• API integrations
• Customer profiles
• Batch processing
• Real-time data
• Campaign activation
• Marketing personalization
• User experience optimization
• Customer journey mapping
• Data-driven insights
• Customer lifecycle management
• LTV optimization
• Experimentation
• A/B testing
• Customer behavior analysis
• Integrated marketing strategy
• Enterprise scale
• 360-degree customer views
• Multi-channel engagement
• Customer success stories
• Industry-specific solutions
• Enterprise analytics
• AI-powered marketing tools
• SDK and developer tools
• B2C
• Finance
• Consumer products & retail
• Marketing & advertising
• Consumer internet
• Consumers
• Internet
• Health care
• Health, wellness & fitness
• Hospital & health care
• Consumer goods
• Computer & network security

Technologies Used

• AI
• Adobe Media Optimizer
• AgilOne
• Amadesa
• Amazon AWS
• Amazon SES
• Atlassian Cloud
• Atlassian Confluence
• Bing Ads
• Cedexis Radar
• Citrix
• DoubleClick
• DoubleClick Conversion
• Experient
• Facebook Custom Audiences
• Facebook Login (Connect)
• Facebook Widget
• FullStory
• GitHub Hosting
• Gmail
• Google Analytics
• Google Apps
• Google Custom Search
• Google Dynamic Remarketing
• Google Font API
• Google Play
• Google Tag Manager
• Greenhouse.io
• Hotjar
• IgnitionOne
• Intercom
• Jira
• Linkedin Marketing Solutions
• LiveRamp
• Marketo
• Microsoft Office 365
• Mobile Friendly
• Netlify
• New Relic
• Nginx
• OneTrust
• Optimizely
• Pantheon
• Remote
• Route 53
• Ruby On Rails
• Segment.io
• ShareThis
• Tealium
• The Trade Desk
• Twitter Advertising
• Varnish
• Vimeo
• Webex
• Wistia
• Woo Commerce
• WordPress.org
• YouTube
• Zendesk
• iTunes
• jPlayer
• reCAPTCHA

Affiliated Organizations & Regional Branches

• Arm