Kevin Quinn is a Research Analyst in Gartner's Technology and Service Provider Group. Mr. Quinn covers the Analytics and Business Intelligence, IoT Analytics and Data Science Markets with a deep familiarity with products that span the analytics capability continuum (including, data preparation, data science and machine-learning, augmented analytics, insight discovery and visualization, reporting, dashboarding, analytic app creation, and sharing and collaboration).
He focuses on delivering research and advisory services to tech product managers in technology and service provider organizations around the world.
He has deep understanding of the needs and desires of a wide range of roles in the analytics space which is particularly helpful for product managers as they set strategy, create messaging and evolve their roadmaps.
Mr. Quinn has worked in the business intelligence and analytics space for over 30 years. His previous roles include product management and marketing. Most recently, he was VP of Product Management and prior to that he served as VP of Product Marketing for a top ABI vendor.
He has held management/leadership roles setting product strategy and consulting with high profile clients on best practices in analytics. He is an accomplished author of dozens of white papers including; Developing an Information Strategy: How To Use Analytics To Drive Business Improvements. He has a particular expertise in predictive and prescriptive web apps, self-service analytic tools, Search-based analytic apps and natural language processing.
Information Builders
VP of Product Management
Information Builders
VP of Product Marketing
Analytics, BI and Data Science Solutions
Data and Analytics Programs and Practices
Artificial Intelligence
Product/Service Discovery and Validation
Messaging and Differentiation
Bachelor of Science, Computer Science, Queens College
1Help data and analytics vendors with product strategy, product messaging and roadmap planning
2Help data and analytics vendors differentiate offerings by helping them understand competitive landscape and potential opportunities
3Help data and analytics vendors get a better understanding evolving needs of their target users