Controlled Data Co-Production

Dynamically Collaborate, Innovate, and Drive Business Value

Data co-production is a revolutionary approach to collaborative data management, redefining how teams and systems work together on shared datasets.

Unlike conventional methods that involve copying data across various systems, data co-production focuses on creating a dynamic, single source of truth through collaborative efforts, allowing different teams and systems to work independently while contributing to and enhancing a shared artifact.

Efficiency and Accuracy

Data co-production streamlines processes, significantly reducing the risk of errors and ensuring that data remains accurate and up-to-date, eliminating the need for repetitive copying and coordination efforts.

Federated Governance

Data co-production operates under a federated governance model, providing controlled collaboration where teams can work collaboratively without compromising security, ensuring compliance, and maintaining the integrity of the data.

Real-Time Adaptability

Data co-production allows enterprises to respond swiftly to changes, updates, and evolving business needs, fostering agility and innovation, embracing the dynamic nature of business with real-time adaptability.

Much like any Google Drive file can be controlled and edited in a much more secure and easier manner than multiple versions of a Word doc or Excel spreadsheet. Now so too can all your business data.

When Should Your Enterprise Use Data Co-Production?

When aiming to revolutionize collaborative data management, data co-production is the go-to strategy for breaking down data silos, promoting cross-functional insights, and leveraging data as a strategic asset to drive better decision-making and innovation within the organization.

Data co-production becomes especially important when:

Collaboration Across Teams is Crucial

If your enterprise involves multiple teams working with interconnected datasets, data co-production ensures seamless collaboration without compromising data integrity.

Adaptability and Innovation are Priorities

When your business requires the flexibility to adapt swiftly to changes and innovate continuously, data co-production provides the dynamic framework needed for real-time adaptability.

Enhanced Governance is Essential

For enterprises operating in highly regulated industries, data co-production ensures that collaboration happens within a framework of federated governance, maintaining compliance and data integrity.

Top Use Cases for Data Co-Production:

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Make change easy by creating a data ecosystem that's open and flexible

Don't 'rip-and-replace'

Get started with your next project

This is not a rip-and-replace solution. You do not need to rebuild your entire data ecosystem in order to benefit from data co-production

By starting from your next project, you are simplifying work you already doing, and setting yourself up for success for each new future project.

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