Six years ago Hanover embarked on its Data Governance journey supported by on-prem technologies that were difficult to use and maintain. This resulted in low adoption margins even after big investments in time and money to populate the different catalogs the platform required. We noticed that as the Data Strategy for the company was advancing – with a shift to the cloud, the governance tool was left behind as it could not easily incorporate the new cloud-based data sources, as well as the myriad of unstructured data that was being created.

This year we decided to also move our data governance to the cloud, adopting Microsoft Purview. In 7 months we were able to incorporate into the platform our diverse data sources metadata, including unstructured data living in our data lakes. The platform allowed us to also migrate data from our old tool using its API interfaces. Because of the added features and reliance on AI technologies, we have been able to identify and classify most of our data and create a revised classification framework that allowed us to take control of our data. As the platform advances and new features are added, Purview allows us to improve the way we share data, analyze lineage and govern all aspects of the data life cycle.

Speaker: Allen Thompson

VP Enterprise Data & Analytics, The Hanover Insurance Group

Allen Thompson, VP of enterprise data and analytics joined The Hanover Insurance Group in July 2019 and is responsible for developing, managing, and implementing data governance and data strategy for the organization. In addition, he is working to bring discipline to Hanover’s analytic processes and methods as well as designing and implementing intelligent solutions for the enterprise.

Speaker: Daniel Lederman

Director Data & Analytics, The Hanover Insurance Group

Currently, Daniel is the Director of Data Analytics in the Enterprise Data and Analytics team in the Hanover Insurance Group. He has experience as a Data Engineer and Business Intelligence Executive leading and supporting the design, architecture, development, and implementation of data strategies in the cloud. Supports digital transformation and data analytics initiatives, particularly within the financial sector. This includes managing teams and directing technology organizations to deliver innovative data solutions, architectures, and processes. Before Hanover, Daniel ran a consulting firm focusing on Data Strategy and Process Architecture. Daniel holds an MBA from Rice University, a diploma in Artificial Intelligence, and a Bachelor's degree in Computer Science from the Instituto Tecnológico de Monterrey in Mexico City.