Coginiti Enterprise is a collaborative analytics platform that provides a centralized workspace for data teams to create, govern, and manage data products. It enables organizations to improve analytic quality, enhance team productivity, and reduce costs by allowing stakeholders to collaborate, share, and reuse trusted data assets and analytics within a governed environment. The solution supports deployment on-premises or in the cloud and integrates with identity management systems for secure, seamless user access. It is designed to scale horizontally to support tens of thousands of users and offers robust APIs for integration with orchestration, data science, BI, and operational tools.

Key Features

Centralized Analytics Workspace Shared environment for creating, saving, commenting, versioning, and approving certified datasets and analytics.

• Enables real-time collaboration across business stakeholders, data professionals, and subject matter experts.
• Maintains a governed catalog for analytics, data definitions, and metrics.

Scalable Deployment Flexible infrastructure options to fit enterprise needs.

• Deploy on-premises or in any cloud environment.
• Scales horizontally to support large user bases.

Integrated User Management Seamless, secure access control.

• Direct integration with identity and directory services.
• Automated user access management based on directory changes.

API and Tool Integration Connects with existing enterprise tools.

• APIs for orchestration, data science, BI, and operational products.
• Enables reuse of certified assets and logic.

Automation and Governance Ensures data quality and compliance.

• Automates data transformations, tests, and publications.
• Supports reporting and data-quality SLAs.

Role-based Features Tailored capabilities for different data roles.

• Data leaders: manage assets, monitor costs, streamline user management.
• Data analysts: explore, analyze, and version code across platforms.
• Data engineers: create/share models and pipelines across any platform.
• Data scientists: build reusable, consistent feature sets and iterate freely.

Benefits

Improved Collaboration and Productivity Fosters teamwork and accelerates analytics delivery.

• Breaks down silos between data roles.
• Facilitates sharing and reuse of trusted data and analytics assets.

Enhanced Data Governance and Security Maintains control and compliance at scale.

• Centralized access management and auditability.
• Ensures only authorized users access sensitive data.

Cost and Resource Optimization Reduces duplication and operational overhead.

• Shared assets minimize redundant work.
• Dashboard reports help manage query and infrastructure costs