Your Data, Our Expertise — Unlock New Possibilities.

Cybic’s data services accelerate insights, automation, and innovation.
Data Quality
Business Intelligence
Data Sharing
Data Governance
Data Integration
Data ware-housing
Data Standards
Data Security
Data Architecture
Master Data Management

Cybic’s principles for Data Services

Data Integration
Seamlessly connect data across systems to create a unified, accessible, and real-time view of your business.
Data Quality
Ensure your decisions are driven by accurate, complete, and trusted data through rigorous quality management.
Data Security & Privacy
Protect sensitive information with advanced encryption, access controls, and compliance with leading global standards.
Data Governance
Establish clear policies, roles, and accountability to manage data responsibly and maximize business value.

Modernize Your Data Warehouse for the AI Era

Enhance performance, reduce costs, and integrate AI-ready architecture
Data Warehouse Consulting
Cybic will evaluate existing infrastructure and create assessment & Strategy with a road map for modernization with high-performance data warehouse architecture.
Legacy Migration and Automation
Cybic designs and integrates data warehouses seamlessly with existing systems, optimizing ETL/ELT processes to enhance data ingestion, data extraction, transformation, and loading efficiency.
Data Lake Integration
Data Integration Service ensures seamless data flow between lakes and warehouses with flexible architectures. Whether data moves from the lake, within it, ahead of it, or in a hybrid setup, we help you optimize analytics, governance, and performance.
Cloud Data Warehousing
Cybic streamlines complex deployments with seamless support for multi-cloud, hybrid cloud, and on-premises environments, ensuring interoperability across platforms. We provide both Bring Your Own License (BYOL) and Cloud Data Warehouse as a Service options.
Performance Optimization
With real-time data processing, we also optimize query speed, processing power and future-proof your data infrastructure with scalable enhancements for long-term efficiency.
Data Warehouse Support & Maintenance
We proactively monitor system health and performance for fast issue resolution while enforcing robust cybersecurity and data governance to safeguard and streamline enterprise data management.

Our Data Warehouse Modernization Roadmap

01
Discovery
Assess current architecture, data quality, and integration with profiling and lineage mapping.
02
Goal Setting
Identify pain points (e.g., slow queries, poor integration) and define expected outcomes.
03
Migration Planning
Prioritize use cases, estimate costs, and select the right tech stack.
04
Design & Development
Build architecture, ETL pipelines, integrations, and security policies.
05
Execution
Migrate schema, queries, pipelines, and applications while ensuring data quality.

Key Technologies for Modern Data Warehousing

Data Integration Platforms

ETL (Extract, Transform, Load) Processes

ELT (Extract, Load, Transform) Processes

Data Lakes

Data Warehousing Platforms

Data Visualization Tools

44% of organizations cite a lack of agility in data warehouse development processes as a pressing issue.