Organizational Network Analysis has emerged as a powerful new way for leaders to see what is going on inside their organization, to diagnose problems and opportunities, and to stimulate innovation and performance. By quickly revealing invisible networks, Netview makes it possible for leaders to identify communication roadblocks, knowledge hubs, untapped business potential and individual and system strengths. The network analysis lets leaders tap into the living organizational relationship matrix where appropriate, providing direction without interrupting regular business flow.

Traditional approaches to organizational design rely on formal structure. These tightly configured designs do not allow for flexibility and measurement. Netview provides users with a powerful new method of measurement and management. In seconds and with minimal effort, networks are revealed, communication patterns mapped, relationships measured. This information showcases objective realities and builds a launching pad where sound business decisions can be made. What is better is that these analyses can be performed over time – painting a picture and roadmap of change – a type of security that all managers and consultants can live with.

Netview yields actionable insights and measureable business impact improving an organization’s:

• Innovative potential and collaborative abilities
• Knowledge management and the systems that govern organizational knowledge
• Talent management and leadership development
• Reward and recognition systems
• Strategy execution and alignment
• Project management, network, and team management
• Understanding of the strengths and vulnerabilities within the network
• Succession planning strategies
• Operational auditing capabilities
• Overall organizational structure and human resource systems

Netview can be viewed as a “must have” tool for both internal and external business and human resource professionals. The application is a visual query tool that allows non-technical people to get meaningful results from complicated data sets.