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Data Management and Reporting Services

May 10, 2021

Preparing for the U.S. hurricane season with enterprise-wide real-time event response

Discover how Enterprise Exposure Manager can help you understand your exposure in the case of a real-time event.

January 11, 2021

Explore commercial auto opportunities with three ISO solutions

Leveraging with ISO ERC, Vehicle Prefill, and RACA, insurers can more quickly develop and introduce new products with speed, efficiency, confidence and results.

July 27, 2020

Why data management must be a top priority for insurance mergers and acquisitions

Properly managing data is a daunting task when two carriers merge. Virtually every part of the policy lifecycle depends on it getting done right.

April 22, 2020

To build or not to build: Getting portal claims solutions right in the wake of whiplash reform

Crucial questions remain over whether insurers have the in-house capacity and expertise to develop truly fit-for-purpose solutions, or if they should opt for an industry…

January 16, 2020

Data management and reporting services: Vital for start-ups and acquisitions

Data management and statistical reporting are serious business - insurers must constantly prepare, manage, and report accurate data, daunting to larger insurers and even…

September 6, 2019

Data literacy is everyone’s responsibility

Data literacy has become one of the most valuable skill sets for today’s innovative employee.

June 11, 2019

Data-driven insurers make better innovators

In the fast-paced and highly competitive insurance marketplace, innovation is vital to an insurer's success.

May 3, 2018

Ethics and data: Value in mature governance

Data can have many positive applications, but there can also be many risks with increased data dependency. Responsible data stewardship is critical.

December 13, 2016

High Quality Analytics from High Quality Data: The ISO Data Quality Review Process

High-quality analytics are critical to evaluating and managing risk. But you can’t produce high-quality analytics without high-quality data.