Visual Analytics for Innovation and R&D Intelligence

Abstract

Overview: Innovation is critical to the growth and survival of companies across industries and geographies. Over time, however, sources of innovation have become much more diverse, and a systematic understanding of the complex and dynamic innovation landscape is challenging. This paper describes the value and impact of using a data-driven, visual analytic approach for innovation and R&D intelligence. I outline a methodology with which to approach visual analytic innovation and R&D intelligence, present illustrative mini-case studies, and frame the findings into key considerations and elements of the intelligence decision space. The paper contributes to practical and theoretical understanding of how emerging computational and analytical approaches can support innovation and R&D activities. It concludes with practical implications and future research directions.

Keywords::

• Visual analytics
• Innovation
• R&D
• Ecosystem intelligence

Additional information

Notes on contributors

Rahul C. Basole

Rahul Basole is managing director and global lead for visualization and interaction science at Accenture. In his prior role, he was a tenured professor in the College of Computing at the Georgia Institute of Technology and a visiting faculty at Stanford University. He is a globally recognized thought leader in visualization, strategy, and AI, and has been named to Stanford University’s Global List of Top 2% Scientists. He has authored many influential publications. He holds a MSc in industrial and operations engineering from the University of Michigan and a PhD in industrial and systems engineering from Georgia Tech. [email protected]