Applied Insurance Analytics A Framework for Driving More Value from Data Assets, Technologies, and Tools

Insurers: use analytics to drive far more value from your most important asset -- data! Today, many insurers radically underutilize their data, leaving them vulnerable to traditional and non-traditional competitors alike. Now, drawing on 25 years of industry experience, Patricia Saporito shows how to systematically leverage analytics to improve business performance and customer satisfaction throughout any insurance business.

Applied Insurance Analytics demonstrates how to use analytics to systematically improve operations ranging from underwriting and risk management to claims. Even more important: it will help you drive more value everywhere by defining a focused enterprise-wide analytics strategy, and overcoming the challenges that stand in your way.

Saporito helps you assess your current analytics maturity, choose the new applications that offer the most value, and master best practices from throughout the industry and beyond. Throughout, she helps you gain more value from data assets, technologies and tools you've already invested in. You'll find new case studies, practical tools, and easy templates for improving the "Analytics IQ" of your entire enterprise.

PATRICIA SAPORITO (Cliffside Park, NJ) is Senior Director, Business Intelligence, Global Center of Excellence, SAP Labs. In this role, she helps insurers and companies cross-industry leverage analytic investments to maximize business performance, and develop and mature their BI and analytics strategies. Saporito has an extensive background in consulting and solution development. As leader of Teradata's Insurance and Healthcare Industry Consulting team, she regularly led Business Discovery engagements. She formerly led META Group's Insurance Industry Research Service (now part of Gartner). Saporito writes on analytics regularly for Best Review's Technology Insights column, and is an instructor for the International Institute for Analytics.

1. Analytics in Insurance Overview

2. Analytics Strategy and Execution Framework

3. Defining, Prioritizing and Aligning Needs

4. Defining and Using Metrics Effectively

5. Analytics Value/ROI

6. Data and Information Architecture

7. Choosing the Right Tools for the Right Job

8. Organization and Implementation

9. Analytic Skills

10. Data Governance

11. Use Cases and Case Studies

A1. Appendix

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