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Findwise has been a part of Tietoevry Create since January 2022, which means that we can support customers both locally and in a truly global context in long term team deliveries.

Knowledge driven Smart- and Cognitive Process Automation

Silos make data-driven use cases more difficult. In the worst case, they prevent them altogether.

What is Hyper-Automation?

eccenca provides an automated decision processing platform that enables enterprises to infuse knowledge into data to drive efficiency.
The eccenca Knowledge Graph platform eccenca Corporate Memory transforms background knowledge about products, process, partner, people, policies, and data into understandable and executable containers. These help scale use, and more importantly re-use of knowledge in automating decisions across hundreds of individual application- and data silos. This will help organizations increase knowledge worker productivity and efficancy, as well as helping to build a sustainable approach towards scaling decision automation and governance of AI.

eccenca Corporate Memory enables the comprehensive management and provision of data in complex corporate ecosystems. It enables companies to clearly identify and access data regardless of its sources as well as to create transparency for all employees regarding its semantics, applicable business, usage and process rules. Expert and background knowledge can be directly linked to the data, thus ensuring a shared understanding across the company. With this, eccenca offers an enterprise-ready solution for both unlimited data integration and automated reasoning. Both functions are the basis for establishing advanced business intelligence and artificial intelligence applications in companies.

eccenca Corporate Memory functions as an enterprise-wide Data & Knowledge Operating System. It empowers organizations to digitalize expert and domain knowledge, manage complexity and make the right decisions for effective automation, reliable planning and better customer retention. Enterprise data becomes both machine-readable and interpretable by humans. This allows agility, autonomy and automation to be driven efficiently and transparently without having to change the existing IT infrastructure.