Analytics for Insurance Canada Conference, May 11-12 in Toronto

Analytics for Insurance Canada is a customer built event created specifically for the Canadian Insurance P&C Industry. With a wealth of new data from customers, claims, actuarial, financial, risk and marketing, it’s more important than ever to uncover its true value for business critical insights.

Plan on attending this May 11th to 12th in Toronto at the Prince Hotel.

What separates this event from the rest?

• • It’s truly Canadian – Uniting Canadian insurance powerhouses such as Intact, The Co-operators and Aviva Canada, Analytics for Insurance Canada gives you a unique chance to meet people from across the country and focus more heavily on Canadian industry challenges
  • This isn’t another conference – It’s a high-level niche conference showing Insurers how they can use the vast amount of customer data they have. It’s about strategy and business rather than IT, so you won’t be bored with technical jargon

  • The agenda is a step-by-step guide to analytics success – With every core area, from organization through to innovation covered, you’ll get the tools and insight you need to super-charge your strategy

Data analysis has emerged as a key differentiator in the realm of insurance in Canada, expanding beyond the actuary and improving performance across all business units. FC Business Intelligence has compiled a white paper which focuses on the promise of Big Data for insurers from the perspectives of 2 analytics experts: Carl Lambert, Vice President, National P&C Business Intelligence at The Co-operators and Hashmat Rohian, AVP, R&D – Data Science at Aviva Canada, who are slated to speak at the Analytics for Insurance Canada Summit.

Download the complimentary whitepaper here: The Role of Analytics In Canada’s Insurance Markets

Learn about the following and more!

• • Integrate cloud services, M2M, data mining and analytics to create the ultimate insurance enterprise platform
  • Identify profitable customers, measure satisfaction and loyalty and drive cross/up-sell programs
  • Capitalize on emerging technologies to improve pool optimization, create dynamic pricing models and reduce loss and claims payout
  • Encourage “management by analytics” to overcome departmental or product-specific views of customers, update legacy systems and reduce operating spend over the enterprise

  • Explore external data sources to better understand customer risk, pricing, attrition and opportunities for exploring emerging markets

If you have any questions, please feel free to reach out to: Alesia Siuchykava Project Director FC Business Intelligence 201-204-1694 mailto:alesia@datadrivenbiz.com