Fast and Flexible: Exploring Agile Data Analytics

Posted July 17, 2013 | Technology | Cutter Benchmark Review

For the purpose of Cutter Consortium's latest CBR survey, we define Agile data analytics as "the application of Agile methods to data analytics initiatives in order to increase flexibility, provide faster 'time to value,' and support collaborative relationships between business users and IT developers." Further still, as described by Agile data analytics expert Ken Collier, Agile methods are built on a "simple set of sensible values and principles but require a high degree of discipline and rigor to properly execute" and as a process Agile falls somewhere in the "middle betwe

About The Author
Tadhg Nagle
Tadhg Nagle is a researcher/lecturer in the Department of Accountancy Finance and Information Systems at University College Cork, Ireland. He is also Co-Director of Ireland's first executive program in data business at the Irish Management Institute. With a background in finance services, Dr. Nagle became a Business Analyst Lab Leader at the Digital Enterprise Research Institute, from which he holds a PhD. Focusing on emerging technologies,… Read More
David Sammon
David Sammon is a researcher/lecturer in business information systems at University College Cork, Ireland. He is also Co-Director of Ireland's first executive program in data business at the Irish Management Institute. Dr. Sammon's current research interests focus on the areas of conceptual data modeling, master data/information management, theory and theory building, and redesigning organizational routines through mindfulness. He has published… Read More
Don’t have a login? Make one! It’s free and gives you access to all Cutter research.