JMP Analytically Speaking Webcasts: Rob Reul (Jan 29), Michael Schrage (Feb 12)

Join Analytically Speaking webcasts - conversations with thought leaders, and learn more about voice of the customer research, data visualization reporting, behavioral economics, iterative innovation, and more.

JMP Analytically Speaking Analytically Speaking
Featuring Rob Reul

Wednesday, January 29, 2014
1-2 PM ET (10-11 AM PT)

Expertise: Voice of the customer research, data visualization reporting, quality, consulting, consumer preferences, marketing choice/discrete choice experimentation, customer loyalty, conjoint experiments.

Rob Reul, founder and Managing Director of Isometric Solutions, has decades of experience answering the age-old question: What do your customers want? He shares his knowledge on collecting and analyzing consumer data so you can respond appropriately and remain competitive with a loyal - and expanding - customer base.

On the table for discussion:

  • Why customer satisfaction is not enough.
  • Survey analysis and the role of interactive data visualization.
  • The importance of choice experiments.
  • Designing a complicated conjoint study with a short survey.
  • Best practices for listening and responding to the voice of the customer.

Analytically Speaking featuring Michael Schrage
Wednesday, Feb. 12 at 1 p.m ET

Expertise: behavioral economics, iterative innovation, design of experiments, modeling, prototypes and simulation, statistics, data visualization

Who do we want our customers to become? MIT Research Fellow Michael Schrage says this is an important question to ask if you want to be a successful innovator. His insights will give you a perspective on how to create value - and how analytics and data visualization can help you do that effectively. Schrage also discusses some of the topics he writes about in the business press, including the economics of innovation, iterative and efficient learning, and workplace collaboration.

On the table for discussion:

  • How big data is redefining the 80/20 rule.
  • Information-rich data versus information-sparse data.
  • Data visualizations as a way to promote collaboration.
  • The democratization of data analysis.