Data Collaboration

Streamlined Collaboration

Break down silos, fostering an environment of co-production where teams can work together efficiently.

Real-Time Data Access

Discover, access, modify, and add data in real-time, empowering your teams, applications, and AI to make decisions with the latest information.

Code-Resilient Data

As data models evolve they are protected from code breakage and adapt to changing requirements without extensive IT intervention.

Data Products for Access and Change

Data products act as the bridge between teams and data, enabling secure access and changes without the need for complicated, point-to-point integrations. This seamless process fosters agile collaboration.

Data Browser

The data browser offers an intuitive interface to explore and interact with data products. Its user-friendly design makes it easy for non-technical users to access and contribute to data.

Data Collaboration API

The API takes data collaboration a step further, providing the ability to integrate data products directly into applications. It allows for a deeper level of data interaction, opening up new possibilities for data utilization.

Data Plasticity

Data models can evolve over time without negatively impacting applications. Data collaboration ensures that your data remains consistent and accessible, even as changes occur.

Seamless Data Governance

Data collaboration brings all data governance activities into one platform, simplifying data policies, access control, and auditing.

AI Operationalization

Incorporate AI into your data products to empower your enterprise with advanced insights and predictive analytics, unlocking new possibilities for data-driven decision-making and automation.

Learn more about AI Operationalization

Eliminate data fragmentation

Unify fragmented data scattered across various applications and systems into a cohesive and accessible structure, eliminating silos and enabling organizations to harness the full potential of their data assets.

Balance data acces and control

Strike a balance between granting data access to users and maintaining control over sensitive information with fine-grained access controls, ensuring that the right individuals have access to the right data at the right time.

Adapt to evolving data models

Safeguard data products against code breakage during updates and changes, providing the agility needed to keep data structures in sync with evolving business needs.