Enable real-time data processing, scalable data pipelines, and seamless integration to support AI-driven insights and instant decision-making. Our real-time solutions empower organizations to unlock speed, adaptability, and automation across every touchpoint.
Strategy & Consulting
Develop a tailored roadmap for real-time data architecture that accelerates time-to-insight, supports operational responsiveness, and ensures governance and compliance.
- Real-Time Data Strategy & Roadmap
- Technology Selection & Architecture Design
- Data Governance & Compliance Frameworks
- Event-Driven & Streaming Data Architecture Advisory
Implementation
Launch real-time, cloud-native pipelines and architectures to support your streaming analytics and fast data processing needs.
- Real-Time ETL & Data Pipelines
- API-Based Data Ingestion & Integration
- Data Stream Processing Solutions
- Change Data Capture (CDC)
- Cloud-Native Streaming Platforms
Managed Services
Ensure optimal performance of real-time environments with expert monitoring, and tuning.
- Real-Time Pipeline Monitoring & Maintenance
- Performance & Scalability Optimization
- Security & Compliance Management
- Disaster Recovery & High Availability
- Data API & Integration SLA Management
Value Added Services
Enable intelligent real-time operations across key functions with automation, quality control, and AI-enhanced decisioning.
- Real-Time Data Quality & Schema Evolution
- AI/ML Use Cases (anomaly detection, personalization)
- IoT Telemetry Processing & Streaming Analytics
Common Use Cases
- Streaming telemetry or transactional data
- Powering real-time personalization engines in digital experiences
- Monitoring operational anomalies and fraud risk using AI/ML
- Automating regulatory updates
- Supporting scalable, event-driven architecture across distributed business units
Real-Time Analytics enables businesses to capture, process, and analyze data continuously, allowing for immediate insights and decision-making. With the ability to process data in real-time, organizations can react faster to market changes, customer behavior, and operational issues.
Real-Time Data Strategy & Roadmap
Develop a strategy for integrating real-time data analytics into your business. This includes setting goals, selecting the right technology, and ensuring data readiness.
Real-Time ETL (Extract, Transform, Load) Pipelines
Build robust, low-latency ETL pipelines that ingest, transform, and deliver data in real time for analysis, reporting, and decision-making.
Event-Driven Architectures
Design systems that respond to events as they occur, such as customer interactions, sensor data, or transaction processing, allowing businesses to act immediately.
Managed Services for Real-Time Platforms
Provide 24/7 support for the management and maintenance of your real-time analytics platforms, ensuring they operate seamlessly and at scale.
Use Cases
Anomaly Detection: Identify unusual patterns in operational or financial data and take corrective actions. IoT Insights: Collect and analyze data from connected devices (e.g., smart sensors, machines) to optimize performance and predict failures.
Outcome
Increased agility in decision-making, enhanced operational efficiency, and the ability to respond in real-time to customer needs or market conditions.