A user profile is a page that is visible by all users within Stream. Profiles encourage users to connect with each other, discover content other users have posted, what users like and what they've commented on.
User information & Active Directory
User information can be populated from an Active Directory source, or be individually populated and managed by users if no Active Directory source can be provided.
Stream is focused on fostering collaboration through an open and transparent approach to content. If you are connected to someone you will see his or her posts within your Stream. If you are part of an invitation only Connection Group you will see these private posts within Stream.
If the Staff Directory is enabled, user profiles will automatically be presented within the alphabetical staff listing. Users can also search and discover user profiles from with Stream.
Are you looking for someone in the organization who knows something about supply chain management? What about someone who has experience with contract negotiations within the healthcare industry? Do you need to reach someone this week that can review and confirm that your proposal is HIPAA compliant?
Professional User Profiles
Profiles in CentricMinds allow users to build out their professional profiles that are visible to everyone across the organization. Imagine LinkedIn but only accessible within the walls of your organization. Staff can complete their profiles and outline projects they've worked on. They can list their skills, expertise and educational background and define their interests, languages and more.
Smart Search Features
When users search within CentricMinds, other users who match their key words or phrases will be returned within search results. For example, searching for 'supply chain management' will return documents containing this phrase but users with supply chain management mentioned within their profile will also be displayed.
“Profiles encourage users to connect with each other, discover content other users have posted, what users like and what they’ve commented on.”