A Life Insurance Case Study about Unified Data Architecture Improves Vetting and Auditing of Loss Reserving Amounts

A document describing InEdge’s Busines Inteligence services for Life, Health & Annuities Insurers.

A case study about Powerful new Analytics in a highly secured Data Portal to solve the problem of business users limited by ageing toolset, views on data lacking uniformity and lack of enterprise-wide analytical tools.

A Case Study about entreprise-wide Integrated architecture with unified data warehouse and new analytical capabilities.

A Case Study about entreprise-wide Integrated architecture with unified data warehouse and new analytical capabilities.

An article from Insurance & Technology exploring the impact of “big data” and providing solutions to optimizing legacy BI systems while introducing new sophisticated predictive modeling and predictive Analytics models.

This is a white paper exploring the place of open-source Business Intelligence software in modern insurance entreprise environments.

This document identifies the steps to take to realign a BI initiative that has fallen short of expectations.

Interview exploring the coming-of-age of new sources of data, “big data”, and their impact upon legacy BI systems, predictive modeling and predictive analytics.

This white paper explores the elements needed for an effective Business Intelligence (BI) and analytics framework in a complex Insurance environment and introduces FellowDSS Accelerator.

This white paper describes InEdge’s Insurance Business Intelligence Testing Methodology.

This white paper describes InEdge’s Insurance Business Intelligence Performance and Optimization Methodology.

A White Paper on enhancing the performance of the On-Level Rating Process through the use of analytical applications.

This paper proposes an exploration of the main issues and opportunities related to SaaS BI for the Insurance industry. Its objective is to demystify SaaS concepts and their applicability to Business Intelligence in an Insurance context.

A White Paper on enhancing the performance of the On-Level Rating Process through the use InEdge’s Risk Rating & On-Level Analytics Accelerator.

InEdge has developed a specific and effective Business Intelligence methodology named SMART eBI in order to fill the need for an effective project methodology dedicated to Analytical Applications projects.

A White Paper on evaluating the alignment of on-going Business Intelligence initiatives with the Corporate Objectives of Property and Casualty Insurance Companies.

This White Paper describes all the steps in the process of evaluating the scope, time and costs associated with implementing a Business Intelligence Program.

A document describing InEdge’s service for evaluating or re-aligning Insurance Business Intelligence initiatives.

A document describing InEdge’s service for evaluating the information reporting requirements and providing a strategic deployment plan for implementing a successful Business Intelligence Program.

A document describing InEdge’s Risk Rating & On-Level Analytics Accelerator

A document describing InEdge’s FellowDSS Insurance Business Intelligence Accelerator

A document describing InEdge’s Business Intelligence Initiatives Implementation services.

A document describing InEdge’s Busines Inteligence services for Property & Casualty Insurers.

Powerpoint Overview of InEdge’s FellowDSS Accelerator – A complete BI Solution for Insurance companies

Presentation given by Philippe Torres at the 2010 P&C Insurance Technology Conference.

Article in Canadian Insurance Magazine by Philippe Torres on the difficulties of Insurance BI Projects

Article in Insurance Networking News with citations from Philippe Torres

Article by Philippe Torres published in Claims Advisor that addresses the key steps to a successful Business Intelligence program for Property & Casualty Insurers.

A document that addresses the challenges of managing data in complex environments and identifies the key requirements for building effective BI & Analytics frameworks for sophisticated Insurance enterprises.