The journey to modern content management begins with a smooth and supported transition.
Create a strategy
By identifying essential documents, business processes, and current document retention policies for the enterprise, KnowledgeLake works together with clients to establish transactional content types and flows utilizing machine learning and RPA. This allows for speedy project setup as it automates classification of documents and setup of required metadata, for example. Then, content volume and ongoing load rates are analyzed–depending on the repository and line-of-business systems in use.
Define the structure
Setting a good structure is the foundation for any enterprise content management project. In this phase, we help you to further define metadata requirements, identify security standards, devise document retention policies, record and audit processes, and establish scalability requirements. KnowledgeLake ensures that your team understands platform logic and architecture and the services and automation opportunities available so that you’re enabled to quickly respond to changes as your organization grows.
Integrate and deploy
Based on years of experience with customers across all industries, KnowledgeLake’s onboarding team guides you through the phases of deployment: implementing information architecture for user acceptance testing, structuring seamless connectivity between systems, and establishing a repeatable, documented process and test scripts to ensure a successful migration implementation. Onboarding also includes access to a volume of system documentation and user guides, videos, and self-help areas—all of which are explained and identified before go-live.