Empowering Businesses with a Robust Data Foundation
Remove data silos and create a single source of truth. Sutherland’s data engineering and advanced analytics solutions, augmented by AI and ML platforms, help you seamlessly embed analytics across the organization and deliver critical business insights at the point of decision-making.
Our Solutions
Unlock the power of your data and democratize insights by investing in a strong data ecosystem.
Digital Consulting
We evaluate your data and analytics landscape and enable you to realize your digital ambitions. Our actionable intelligence and roadmaps help you seamlessly integrate advanced analytics into your decision-making process, while keeping a focus on optimizing technology and budgets.
Data Modernization
We mobilize our expertise in data virtualization, data systems security, data warehousing, and modernization to help centralize and secure your data. This enables actionable insights that drive agility, enhanced customer engagement, and higher employee productivity.
Data Monetization
Create a secure and comprehensive data foundation with our data monetization services including:
- Data as a Service
- Data assessment
- Cloud data lakes
- Powerful data visualization platforms
- Operational reporting
- Predictive and prescriptive analytics
Data Management Office
Designed to seamlessly align with your unique business demands, our comprehensive analytics managed services include:
- Aggregation of structured and unstructured data across diverse multi-cloud landscapes
- Secure storage
- Insightful business intelligence
- Ongoing maintenance
- Seamless scalability
- Robust governance
Unlocking Digital Performance
Improved Data Quality and Accessibility
Ensure data is accurate and consistent and provide real-time access to data, enabling timely insights and decision-making.
Scalability and Integration
Design tailored scalable data architectures that can efficiently process and store large volumes of data and integrate data from various sources into a unified platform.
Data Governance and Compliance
Implement data governance frameworks to ensure data integrity, security, and compliance with regulations.
Strong Data Foundation for AI and ML
Provide high-quality, structured data necessary for training accurate and effective machine learning models.
