Key components of a successful talent-acquisition strategy
September 15, 2022 by Jason ContantCanadian P&C companies should use data analytics for their talent acquisition (TA) strategies just as they do in other parts of the business, a speaker told Wednesday’s Reuters Events’ Future of Insurance Canada 2022 conference. “The traditional recruitment model is……
Digital growth demands new broker skill and training
November 15, 2021 Jeff BucksteinThe ongoing digital revolution, accelerated by the COVID-19 pandemic, will continue to have a major impact on the way brokers provide services. Canadian Underwriter’s Trusted Advisor 2021 survey found 80% of business clients and 73% of personal clients said online…
Analytics expert warns against ‘data hoarding’
September 26, 2018 by Greg MeckbachElectronic data can be a powerful tool and is not expensive to store, but it’s only useful if you have a strategy behind it, speakers said during this week’s Insurance Analytics Canada Summit. “If you don’t have a data strategy,…
Must-have for insurers to underwrite overland flood
September 26, 2018 by Greg MeckbachArtificial intelligence and data analytics is one reason some Canadian insurers are underwriting residential flood coverage, speakers said Tuesday during an industry conference. “Here is an opportunity that we took to really look at the massive data sets we worked…
Insurance technology awards make final call for entries
August 22, 2018 by Greg MeckbachTwo yet-to-be named Canadian firms, which are using information technology to get “intelligence” from insurers’ data, will be recognized next month in Toronto. Insurance Nexus is accepting nominations for Canadian Insurance Carrier of the Year and Canadian Insurance Innovator of…
Employing Location Intelligence to Deliver on the Promise of P&C Coverage
August 5, 2016 Rob Daleman, VP, Corporate Marketing, DMTI SpatialLocation intelligence is an important tool for property insurance claims managers. In a major catastrophe, insurers can plot the area of impact and get a total of aggregate risk in the area.