データ海
Gather technology, finance and business teams to maximize the value of AI and Cloud investments.
- Consulting and Strategy
- Databricks Implementation
- Lakehouse Development
- Cloud optimization
- Multi-agent AI Applications
- Governance and Compliance
Aplicativos de IA multi-agentes
Combines the strengths of data lakes and data warehouses, offering a unified platform for structured, semi-structured, and unstructured data.
Unified Data Platform
Data engineering, data science, and analytics into one platform, eliminating silos and improving collaboration.
Multi-Cloud Support
Flexibility to deploy workloads across different cloud providers without vendor lock-in
- Inform
Focuses on providing visibility into cloud spending and creating shared accountability by establishing metrics, allocation policies, and budgeting. - Optimize
This phase involves identifying areas for cost optimization, implementing strategies to reduce waste, and improving cloud efficiency. - Operate
Ongoing monitoring, analysis, and optimization to ensure that cloud spending is aligned with business goals and that resources are being used effectively.
We emphasizes the importance of collaboration between different teams, including IT, finance, and business, to establish shared responsibility for cloud costs.
Data-driven decision-making
Encourages the use of data and insights to inform decisions about cloud spending and usage, ensuring that resources are allocated in the most efficient way possible.
Cost visibility and transparency
Provide clear visibility into cloud spending, allowing organizations to understand where costs are being incurred and identify areas for optimization.
Cloud cost optimization
Focuses on optimizing cloud resource usage and reducing waste, ultimately helping organizations maximize their return on investment.
Business value alignment
Align cloud spending with business goals, ensuring that resources are used to support business objectives and generate maximum value.
