Big Data & Cloud solutions
At Datumo we deliver data-driven solutions tailored to the unique challenges of each industry.


Industry challenges
Data Availability & Resilience
Ensuring data availability and recoverability in the event of failures (e.g., ransomware attacks) is a complex challenge. High-availability architectures with robust replication, backups, and disaster recovery plans must be designed.

Data Lineage & Traceability
It's critical to understand where data originates, how it has been transformed, and who has accessed it.

Fragmented Data & Delayed Discoveries
Scientific research often relies on disparate datasets spread across various sources, making it difficult to integrate and analyze information efficiently. This fragmentation hampers interdisciplinary collaboration and slows the pace of scientific breakthroughs.

User Recognition Across Channels
Identifying users across different communication channels and delivering consistent marketing messages tailored to their preferences.

Cloud-Edge Optimization
Optimizing workload distribution between cloud and edge devices is essential to minimize latency and operational costs while maintaining system reliability.

Legacy System Integration
Many banks operate on mature systems (e.g. mainframes) that are difficult to integrate with modern Big data tools.

Benefits
Operational Efficiency
By centralizing data management and implementing scalable data processing pipelines, organizations can improve operational efficiency.
Risk Management
Real-time analytics enhance risk management practices by enabling to monitor portfolio performance in real time. They support the development of reliable risk models based on portfolio metrics enriched with real market data and economic indicators.
Improved reliability
Ensure that IoT devices operate consistently under varying conditions. Robust hardware and resilient software architecture help minimize downtime.
Better scalability and management
Enhance scalability to enable your organization to seamlessly deploy, monitor, and manage a large number of IoT devices.
AI-enabled edge devices
Incorporating AI into edge devices enhances their ability to perform advanced analytics, predictive maintenance, and autonomous decision-making. This empowers IoT systems to reduce latency.
Recommendation and search engines
Empower your platform with AI tools. Deliver personalized content based on user preferences. Enhance sales by suggesting tailored products and services.
Make BIG data breakthrough!
Send us your inquiry via the contact form. We will contact you and together we will discuss the proposed actions for your data.