Defense Commissary Agency’s rollout of Feith RMA IQ receives prestigious DoD CIO Award
Pentagon leadership has awarded the Defense Commissary Agency with the prestigious DoD CIO Award for their world-wide rollout of the Feith Systems’ electronic records management software, RMA IQ.
New Webinar announced: Case Study in Email Records Management (Capstone, M-19-21)
Register now for a live virtual #InfoGov webinar this Wednesday, February 10th at 11am EST to hear a Case Study in Federal Email Records Management. This is a free & open event. Tom Edwards,
New Webinar announced: 3 Areas for Automation for Records Management
Register now for a live virtual #InfoGov webinar this Thursday, Jan 28th at 11am EST on “3 Areas for Automation in Records Management“. This is a free & open event. Dan Feith, our Executive
Records Management University
Welcome to Records Management University, the world’s best and only entirely free course dedicated to serving Records Management professionals. With many looking to keep their skills sharpened in this brave new world of Records
Exporting from Documentum
Feith’s new high-speed Export Engine allows large federal agencies and businesses to rapidly export their entire Documentum database.
8 New Year’s Resolutions for Records Managers
Know your aim this year, have a goal, and set meaningful deadlines towards getting to that goal.
Capstone Records Management in 2021
As 2021 kicks off, it’s a familiar time when government organizations reflect on the activities of the past twelve months and begin thinking about ways to improve processes in the new year. Unlike previous
Low-Code Process Improvement
Build Apps Fast Organizations today have more information than ever before. Making sense of large volumes of content and complicated processes is a challenge. Your staff likely has ideas for apps and business processes
COVID-19: Records Management as a function of Business Continuity
ERM in the time of Coronavirus Many companies do not give adequate attention to their Business Continuity plans. This is likely due to the “normalcy bias” — the assumption that a disaster is unlikely