Event Details
- Date: August 26, 2026
- Time: 12:00 PM – 1:00 PM
- Location: Virtual (Zoom)
- Registration: Click here to register ↗
- Access: Click here to join virtually ↗
- Meeting ID: 843 2013 9827
- Passcode: 050949
Speaker
Frank J. Conkling
Frank J. Conkling, the owner and founder of Panda Consulting, a GIS Professional Services firm founded in 1998, is a highly skilled expert in GIS, surveying, and mapping technology. He specializes in mapping different types of land ownership and has been deeply involved in GIS and Parcel Mapping since 1974. Throughout his career, Frank has had the opportunity to study and help create some of the best GIS systems and most accurate land ownership databases in the country.
As a licensed Professional Surveyor and Mapper in Florida and a licensed GIS Surveyor in South Carolina, Frank has made a significant impact on the field. He served as Past President of the Florida Association of Cadastral Mappers, an organization focused on cadastral mapping throughout the state. He also served on the Florida Board of Professional Surveyors and Mappers, the group responsible for overseeing surveyors and mappers in Florida.
Topic
Building a Successful ArcGIS Parcel Fabric; Planning, Migration, and Integration
Migrating to the ArcGIS Parcel Fabric is more than a software upgrade—it is an opportunity to modernize how land records are managed, maintained, and shared across an organization. This presentation provides a practical roadmap for organizations considering or beginning a parcel fabric implementation.
Attendees will learn the critical components of a successful parcel fabric environment, including data preparation, organizational planning, governance, and technology requirements. The session also explores the advantages and limitations of the parcel fabric, common migration challenges, lessons learned from real-world implementations, and strategies for avoiding costly mistakes.
Finally, participants will discover best practices for integrating the parcel fabric with assessment, permitting, utility, and other enterprise business systems to maximize the value of authoritative parcel data across the organization.