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.




How the Black Tiger Framework works
Unified Data Access


Automated Data Cleansing
Scalable Architecture

Expert guidance at every stage
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

Evaluating Data Integration Solutions: What Enterprises Need to Know
In today’s data-driven landscape, enterprises of all sizes and across every sector rely heavily on clean, accurate, and timely information for decision-making, strategic planning, and maintaining a competitive edge. As businesses collect massive volumes of data from multiple sources—customer data, financial records, operational systems, and third-party platforms—one of the most significant challenges they face is effectively integrating this data. Without a robust data integration solution, organizations risk incurring high costs, poor decision-making, and fragmented customer insights.
- How to prepare your data for AI
- Breaking down data silos
- The hidden costs of poor data quality
- Navigating data compliance challenges

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
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.

