Real-Time Analytics
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- Agent-Oriented Architecture
- Agentic AI Alignment
- Agentic AI for Customer Engagement
- Agentic AI for Decision Support
- Agentic AI for Knowledge Management
- Agentic AI for Predictive Operations
- Agentic AI for Process Optimization
- Agentic AI for Workflow Automation
- Agentic AI Safety
- Agentic AI Strategy
- Agile Development
- Agile Development Methodology
- AI Agents for IT Service Management
- AI for Compliance Monitoring
- AI for Demand Forecasting
- AI for Edge Computing (Edge AI)
- AI for Energy Consumption Optimization
- AI for Predictive Analytics
- AI for Predictive Maintenance
- AI for Real Time Risk Monitoring
- AI for Telecom Network Optimization
- AI Orchestration
- Algorithm
- API Integration
- API Management
- Application Modernization
- Applied & GenAI
- Artificial Intelligence
- Augmented Reality
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Real-Time Analytics refers to processes that collect, transform, enrich, clean, and analyze data as it arrives—enabling immediate insights and actions. Instead of waiting hours or days for batch reports, real-time analytics gives organizations the ability to respond instantly to changing conditions.
Xebia helps clients build streaming data platforms, event processing pipelines, and analytics systems that operate at low latency. Their services span architecture design, implementation using tools like Kafka and Flink, and scaling real-time systems to support mission critical operations.
What Are the Key Benefits of Real-Time Analytics?
- Instant visibility into operations, metrics, and trends
- Faster decision making by acting on current information
- Ability to detect anomalies, fraud, or disruptions quickly
- Personalized customer experiences through dynamic interaction
- Better allocation of resources with real-time demand signals
- Competitive advantage over organizations relying on stale data
What Are Some Real-Time Analytics Use Cases at Xebia?
- E-commerce: real-time personalization and dynamic pricing
- Fraud detection in financial transactions as they occur
- IoT & sensor networks: monitoring and alerting in industrial systems
- Telecom: performance monitoring and fault detection on the network
- Marketing: triggering campaigns based on real user behavior
- Operational dashboards: live KPIs for logistics, supply chain, or operations
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