Big Data
A
- 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
B
C
D
E
G
I
L
M
N
P
R
S
T
V
At Xebia, Big Data refers to the large and complex datasets that traditional tools cannot process effectively. It is not only about volume, but also about velocity, variety, and veracity of information. Xebia helps organizations unlock the power of Big Data by designing modern architectures, scalable pipelines, and advanced analytics that transform raw information into business value.
By combining expertise in cloud, data engineering, and AI, Xebia enables clients to process data at scale, gain real time insights, and make decisions that drive innovation and growth.
What Are the Key Benefits of Big Data?
- Improved decision making with insights drawn from massive and diverse datasets
- Faster time to insight through real time data processing and analytics
- Enhanced customer experiences with personalized and data driven interactions
- Operational efficiency by uncovering hidden patterns and optimizing processes
- Competitive advantage from predictive and prescriptive analytics
- Stronger innovation with access to comprehensive and integrated data sources
What Are Some Big Data Use Cases at Xebia?
- Retail and eCommerce: Analyzing customer journeys to improve personalization and recommendations
- Financial Services: Detecting fraud and managing risk with large scale transaction data
- Healthcare: Leveraging patient records and research data to improve treatment outcomes
- Manufacturing: Using sensor and IoT data for quality control and predictive maintenance
- Smart Cities: Monitoring traffic, utilities, and citizen services with real time data streams
- Media and Entertainment: Understanding audience behavior to optimize content and advertising
Related Content on Big Data
Contact
Let’s discuss how we can support your journey.