THE BLACK TIGER FRAMEWORK

Complete data projects 
with confidence.

Connect, clean, and control your data—without moving it from your existing systems. Black Tiger's framework combines proven technology with expert guidance to help you deliver successful data projects faster.

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How the Black Tiger Framework works

Black Tiger helps you complete data projects successfully by connecting directly to your systems and automatically improving data quality—all while you maintain complete control of your information.
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DATA INTEGRATION

Connect & Control

Connect directly to your existing systems without moving sensitive data. Black Tiger's virtual index technology provides unified access to all your data sources—cloud or on-premise—while maintaining complete security and control. No risky migrations or vendor lock-in.
Pre-built connectors for major databases and business applications
Real-time and batch processing with complete data tracking
REST APIs for custom integrations
Zero-movement virtual architecture
Flexible ETL/ELT processing
More about data integration
DATA QUALITY

Clean & trust

Transform unreliable data into a trusted resource automatically. Black Tiger's quality tools standardize formats, remove duplicates, and enforce business rules across your systems—ensuring consistency without constant manual work.
AI-supported deduplication for any business object
Natural language business rules with automated code generation
Pre-built and customizable data quality processors
Real-time validation and quality monitoring
Guided data stewardship for complex cases
More about data quality
PROJECT SUCCESS

Deliver & scale

Complete data projects successfully through our structured approach. Our Launch, Manage, Optimize methodology ensures clear milestones and measurable outcomes, while our expert team guides you from initial setup through ongoing optimization.
Proven methodology with typical 2-3 month implementation
Ready-to-use solutions for common data challenges
Scalable architecture that grows with your needs
Cloud or on-premise deployment options
Dedicated technical guidance at each phase
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Expert guidance at every stage

Our structured service approach ensures successful implementation and ongoing optimization of your data projects.
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More about project success

Launch

Get up and running quickly with our proven implementation methodology. We'll help you:

  • Connect to your priority data sources
  • Configure automated quality rules
  • Set up initial workflows and processes
  • Train your team on the platform
  • Validate results and ensure adoption

Typical timeframe: 4-8 weeks

Manage

Keep your data flowing smoothly with proactive support and monitoring. Our team provides:

  • Ongoing platform maintenance
  • Performance optimization
  • Issue prevention and resolution
  • Regular health checks
  • Technical guidance when needed

Continuous support with defined SLAs

Optimize

Maximize the value of your data investment through continuous improvement. We help you:

  • Expand use cases and connections
  • Fine-tune quality rules and workflows
  • Implement advanced features
  • Optimize performance at scale
  • Enhance data governance

Typical timeframe: 4-8 weeks

Learn how others
get data projects done

Discover practical solutions, implementation guides, and real-world examples of how leading organizations are completing data projects successfully.

Data Consolidation Tools: Your Path to a Single Source of Truth

In today’s data-driven landscape, every organization—whether a lean startup or an established enterprise—depends on information to guide strategy, optimize operations, and stay competitive. Yet data pours in from countless sources, including CRMs, e-commerce platforms, customer service systems, and social media. Without a clear strategy to unify this information, businesses risk duplication, conflicting data, and a lack of reliable insights.

  • How to prepare your data for AI
  • Breaking down data silos
  • The hidden costs of poor data quality
  • Navigating data compliance challenges
Read Our blog
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Distribution

A distribution business with 4,000 shops and 18.5 million customers struggled to understand customer behavior due to fragmented data, non-standardized inputs, and the need for GDPR compliance, which impacted the effectiveness of marketing campaigns in a competitive market.

  • How to prepare your data for AI
  • Breaking down data silos
  • The hidden costs of poor data quality
  • Navigating data compliance challenges
Read Our Case Study

Ready to turn data challenges into results?

See how Black Tiger's framework helps you connect and clean data across systems while maintaining security and control. Book a discovery call to learn more about our proven approach.

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