Quadrant hosts for second year in a row Q.Sessions A P&C pricing and competitive analysis event in Vegas, NV
We would like to share with the insurance industry Quadrant's genuine concern to know what it can do to improve its service and product thru coordinated R&D efforts.
- (1888PressRelease) April 27, 2012 - Reno, NV - For second year in a row Quadrant hosted the event "Q.Sessions: The Future of pricing Analytics" in Las Vegas, NV from April 20th - 22nd.
Q.Sessions is a marquee event where the industry's top actuaries, pricing analysts, product managers, marketers and other peers gather to discuss new technology and share best practices on how to gain marketplace and competitor data for auto and homeowner's insurance.
"With Q.Sessions, we're gathering customers, actuaries and experienced industry peers in a single room, with the sole objective of learning the needs and expectations from an industry eager to get the most accurate marketplace and competitor intelligence available on the market" said Michael Macauley, CEO of Quadrant.
This year's guest speaker was Klayton Southwood, a senior consultant from Towers Watson who shared his professional insight thru his presentation "Competitive Marketing Analysis".
Although an invitation only event, Q.Sessions could be easily turned into an open conference with multiple speakers and workshops with specific talking points that could provide valuable knowledge and resources to the P&C industry.
To learn more, visit www.quadinfo.com/qsessions
About Quadrant
For 20 years, Quadrant® has been the foremost provider of enterprise-wide insurance solutions. Quadrant's reliable resources also provide fast and accurate comparative rating for pricing analytics and Web services for a culture seeking tools to enable effective decision-making based on powerful insights and market intelligence. Quadrant® leads the information market by conducting thorough research and programming, rating QA and manual rate validation, in order to guarantee the most accurate and timely information available for decision making.
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