Signed in as:
filler@godaddy.com
Categories & Guidelines
IG Excellence Awards:
Recognizing outstanding efforts in IG Programs, implemented by end-user IG teams and facilitated by IG professionals, including those in Privacy & Data Protection, Cybersecurity, eDiscovery, Data Governance, AI Governance, RIM, and related disciplines.
Award categories for end users:
1) Excellence in Information Governance Programs or Projects - could be a pioneering/innovative project or one that has shown outstanding results.
2) Key Contributor - to the IG profession
We have two award categories for solution providers:
1) Project implementations - an example of a successful implementation including the key business objectives, project team, and benefits/outcomes.
2) Innovative product developments/solutions - breakthrough new technologies showing initial promise.
An independent group of IG experts will govern the Information Governance Excellence Awards. We reserve the right not to award all categories if none meet the high standards of the governing body.
(picture to left) Last year's winner of the IG Excellence Award was the Horizon Therapeutics team.
How To Apply
First, consider what makes your IG project, program, solution (or key contributor) unique. Then, put down a basic description of your proposed submission, including 1) The business problem or challenge it addresses; 2) What is unique about your approach or solution; 3) Who were the key players involved in the implementation or development? Then email that to events@infogovworld.com.
Submit Your Entry Today
Please send a basic description of your proposed submission and its unique, award-worthy characteristics to events@infogovworld.com
InfoGov World Media, LLC
727 E. San Ysidro Blvd. #1605, San Ysidro, California 92173, United States
Copyright © 2024 InfoGovWorld Media LLC - All Rights Reserved.
The Premier Information Governance Conference
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.