Wesley Forsyth is an Account Executive for Experian Data Quality. He focuses on projects and challenges related to data quality within the Financial and Insurance vertical on the east coast. Wes enjoys playing golf and skiing with his family and watching Boston sports.
Last week, I, along with two other members of the Experian team, took our talents to sunny San Diego to soak up some knowledge and spread some insight at the Enterprise Data World (EDW) conference. The conference was packed with some of the best and brightest representatives from organizations across the U.S. and around the globe.
This past weekend Stephen Cargill, Matthew Chase and I took on the Pan-Mass Challenge (PMC). The PMC is a 192 mile bike ride across the State of Massachusetts from Sturbridge to the Provincetown. The purpose of the PMC is to raise money for cancer research at the Dana-Farber Cancer Institute in Boston and spread awareness of this terrible disease. The goal this year was to raise 48 million dollars.
The Data Governance and Information Quality (DGIQ) Conference and Dataversity took their talents to sunny San Diego this week. DGIQ looks at the latest trends and practices used by the leaders in the data space and how they apply strategies around data governance and data quality. This event had a heavy focus on the emergence of data governance and regulatory issues companies are facing in regards to their own data as well as the importance of understanding the integrity and quality of their data moving forward to help drive the bottom line.
This year, Enterprise Data World (EDW) took their conference to the Omni Hotel in Atlanta, GA. EDW examines the latest trends in the world of data—especially in regards to data governance and data quality. This event focused on leveraging data as an asset and bringing IT and business users together to make better decisions for their enterprises. The keynote speakers focused on the emergence of the Chief Data Officer (CDO) within organizations, the importance of having a foundation of high quality data, data modeling, and much more.