Platform users and user needs In recent years, organizations have been transitioning from siloed investigations, toward collaborating in multifunctional teams. For example, a complex law enforcement investigation may require investigators from multiple disciplines, such as those fighting organized crime, money laundering, and cybercrime, to work with teams of data analysts, digital forensics experts, open- source analysts, field operatives and more. However, in order to be effective, this new mode of working must be supported by the right technology and a unified view of all data. Adopting the right technology requires first identifying which teams within the organization need to collaborate and which types of users will work with or require access to the decision intelligence platform. Technical proficiency If most of the work on a platform is being done by non-technical subject matter experts, it is important to look for a platform that is codeless, so users can add data sources and run analytics without the need for technical expertise. Collaborative abilities Organizations that require multiple team members and/or teams to collaborate require tools for sharing information and collaborating, such as whiteboards, data tagging, automated reports and shared investigation workspaces. Nuanced permissions Organizations with sensitive data require a fine-grained, dynamic permissions model that enables restricting access to investigations, data sources and documents based on the user or role type. Choosing a decision intelligence platform 4 1 2 3