Tiger Analytics

Overview

Tiger Analytics is a global leader in AI and advanced analytics, dedicated to helping Fortune 1000 companies tackle complex business challenges. Founded in 2011, the company has expanded from a small team of 10 to over 5,000 professionals across the US, Canada, UK, India, Singapore, and Australia. Their mission is to empower enterprises to make confident, data-driven decisions that create real business value.

The company offers a wide range of services, including strategy and advisory, data engineering, AI and machine learning, and operationalizing insights. They provide modular accelerators and open-box solutions to help clients efficiently scale AI development and serve various industries, such as consumer packaged goods, retail, financial services, manufacturing, and healthcare. Recognized as a Great Place to Work-Certified™ and acknowledged by leading analyst firms, the organization fosters a culture of learning, mentorship, and inclusivity while emphasizing ethical AI and analytics practices.

Basic Information

Contact Details

• Phone: +1 408-508-4430
• Website: tigeranalytics.com
• LinkedIn: linkedin.com/company/tiger-analytics

Key Focus Areas & Initiatives

• Machine learning
• Predictive analytics
• Forecasting
• Natural language processing
• Computer vision
• Cloud data platform engineering
• Data as a service
• Lean data governance
• Modern BI
• Data warehousing
• AI
• ML Ops
• ML product engineering
• Data engineering
• Data modernization
• Generative AI
• Business consulting & services
• Customer-centric analytics
• AI for healthcare
• AI innovation
• Open IP platforms
• DataOps practices
• AI for supply chain
• Model monitoring
• AI for insurance
• Consulting
• AI in financial modeling
• AI democratization
• Data management platforms
• Data-driven decision making
• AI for supply chain optimization
• Data lineage
• AI-driven automation
• ML model lifecycle
• AI for predictive maintenance
• Data quality
• AI in customer experience
• AI model deployment
• Data pipelines
• Ownership mindset
• Client success
• AI ethics in enterprise
• Data management
• AI/ML frameworks
• AI in data governance
• Data analytics tools
• Global delivery
• Platform strategy
• Data science
• AI and ML consulting
• AI bias mitigation
• Scalability
• Manufacturing
• Data analytics
• Industry-specific solutions
• Healthcare
• Industry-specific AI solutions
• Model explainability
• Insurance
• Data lakehouse
• AI in personalized marketing
• AI model explainability
• Financial services
• AI for demand forecasting
• Information technology and services
• Data catalog
• Data orchestration
• Data observability
• Data pipelines automation
• Data integration tools
• Innovation culture
• AI solutions
• AI for finance
• AI model monitoring
• AI workflows
• Digital transformation
• AI in product recommendations
• AI in healthcare diagnostics
• Business intelligence
• Experimentation
• Data operations
• Data architecture design
• Data architecture
• Data compliance
• Data integration
• ML products & platforms
• Data security
• Healthcare analytics
• Cloud platforms
• B2B
• Data visualization
• Growth focus
• AI engineering
• AI for manufacturing
• Data foundation
• Data security protocols
• Business transformation
• Collaborative environment
• Life sciences
• AI-powered decision making
• Data fabric
• Risk management
• ML accelerators
• Logistics
• ML deployment
• AI for life sciences
• Generative AI applications
• Data strategy
• Artificial intelligence
• AI and analytics
• Data mesh
• Cloud data platforms
• Computer systems design and related services
• Data quality management
• AI for fraud detection
• Data cataloging
• Retail
• AI for retail
• AI for risk management
• Data governance
• MLOps
• AI for customer segmentation
• Operational efficiency
• Insight operationalization
• Data platforms
• Cloud data architecture
• Customized analytics roadmaps
• Intelligent enterprises
• Analytics consulting
• ML products
• Automated insights
• Semantics and data unification
• Robust data architecture
• Experience consulting
• Business impact modeling
• Data accessibility
• AI-driven decisions
• Advanced analytics
• Customer experience optimization
• Supply chain analytics
• Data quality enhancement
• Normative AI practices
• Consumer behavior insights
• Real-time data processing
• Data integration solutions
• Business operation optimization
• AI workflow democratization
• Enterprise data solutions
• Cloud analytics
• Data processing frameworks
• Insights democratization
• Performance monitoring
• Data operations management
• Industry-specific analytics solutions
• Data strategy consulting
• Finance
• Distribution
• Consumer products retail
• Transportation logistics
• Information technology & services
• Enterprise software
• Enterprises
• Computer software
• Management consulting
• Mechanical or industrial engineering
• Health care
• Health, wellness & fitness
• Hospital & health care
• Analytics
• Computer & network security

Technologies Used

• Cloudflare DNS
• Data Analytics
• Gmail
• Google Apps
• Leadfeeder

Affiliated Organizations & Regional Branches