In this article, we identify the common traps to avoid and then we conclude by proposing four key steps to help you evaluate the validity and strength of a proposed Analytics roadmap.
Article published on KDNugget on an Iterative-Incremental to business intelligence implementation
Article published on Property Casualty 360 on the advantages and drawbacks of Software as a Service Business Intelligence for insurance.
Article published on TMCNet.com on the advantages and drawbacks of Open Source Business Intelligence for insurance.
Article published on Information-Management.com on the new opportunities in analytics for insurance.
Article published on Insurance-Canada.ca identifying the the top limitations to the P&C rate development process.
With the right approach carriers can take advantage of the Big Data trend in their business intelligence and predictive modeling efforts and ride the technology curve to their advantage.
Article published on Insurance-Canada.ca summarizing the conceptual “pillars” upon which successful insurance BI and analytics frameworks are built.
Article published on Insurance-Canada.ca identifying three common mistakes in insurance business intelligence
Four Steps to Improving Alignment of P&C Business Intelligence Initiatives – Published on Insurance-Canada.ca
Article published on Insurance-Canada.ca proposing four key metrics for determining whether a project is correctly aligned and will deliver ROI