In today’s digital age, government organizations are collecting more data than ever before. However, many agencies are struggling to make sense of this data, which is often siloed across different departments, systems, and classifications. Enterprise-level data analytics offers a solution to this problem, allowing government organizations to break down data silos and gain a more comprehensive view of their operations.
Join ATARC and Neo4j as topic experts and government leaders discuss the benefits of employing analytical techniques and software platforms designed for exploring and modeling complex networks of interconnected data tools for enterprise-level data analytics in government organizations. The webinar will highlight the advantages of graph-based data modeling, which allows agencies to represent complex relationships between data points in a way that is both intuitive and highly efficient. They will also discuss emphasizing the importance of real-time analytics, which enable government organizations to make rapid decisions based on the latest data.
Invited panelists (pending agency approvals) include:
Duncan McCaskill: Chief Data Officer (Acting), Office of the CIO, Under Secretary of the Navy, U.S. DoN
Michael Gorman: Senior Advisor & Data Architect, Office of the CDO, USCIS, DHS
Caroline Kuharske: Chief Data Officer (Acting), DISA, U.S. DoD
Suman Shukla: Data Management Section Head, Product Management Division, U.S. Copyright Office, Library of Congress
Michael Moore: Principal, Partner Solutions and Technology, Neo4j, Inc.
Kiersten Patton (Moderator): ATARC Consultant