Collaborative Intelligence
A network that connects teams to unlock their genius
Collaborative intelligence is the collective efforts of a network of agents working together to achieve intelligent outcomes.
In the enterprise, collaborative intelligence is in essence about harnessing the collective intelligence of people (individuals and groups) with the power of technology to solve complex problems, make better decisions and drive better business outcomes.
Ask yourself.. is your enterprise data really working together as a network?
If you're relying on integration to connect your disparate data silos, then the answer is NO.
Creating Intelligence with Data Collaboration
Unlock Your Data's Potential
By eliminating integration from the business and fostering an environment of collaboration and ongoing learning, businesses of today can achieve true collaborative intelligence.
To achieve this state organizations must first break down data silos and unlock the full potential of all their data assets, so that real-time collaboration can take place without data being duplicated and mis-used.
Access to a network of data ensures every agent in the system has access to the correct data, that it is accurate, up-to-date and the single source of truth. This is even more important in a network architecture as this information can also be further acted on or enhanced via various AI inputs to further augment and improve individual data sets.
Collaborative intelligence also promotes a culture of continuous knowledge sharing across the entire business. Making it easier for technical and business teams to work together, ultimately leading to increased overall productivity, employee engagement, and customer satisfaction.
The first step towards collaborative intelligence
The Cinchy Data Collaboration Platform enables collaborative intelligence within the enterprise to not only begin, but to expand, to grow and to prosper.
The architectural model of a data collaboration platform is what allows collaborative intelligence formation to take shape.
It’s a fundamentally different approach to anything that exists today.
It is an overall design for data interaction that removes the need for integrations and multiple data sources.
See data collaboration in action!
Connected data without the effort, time, and cost of traditional data integration.