AIIM
JULY 1, 2021
The ever increasing petabytes of data required to do business in the modern world of work require utilizing metadata to tag content. Why Metadata? Metadata (aka tags, properties, labels) is the key component in any robust Information Architecture plan. How can this be done? Break down silos.
AIIM
APRIL 27, 2021
The perks of a cloud-first approach for data management have been well documented: unified, content-services platforms accessed anytime, anywhere by empowered employees leading to improved productivity and reduced operational costs. Step 1: Improve Content Metadata. Step 3: Migrate Content to the Right Platform.
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AIIM
JULY 6, 2021
Content Virtualization is a new approach that eliminates costly virtual infrastructure and provides a consolidated approach for content collaboration. Documents (MS office documents, PDFs, images, CAD/CAE formats, etc.) Multiple people will revise documents in parallel, leading to conflicts and lost changes.
ARMA International
SEPTEMBER 22, 2021
Here, Part 2 discusses the critical factors for a successful DT journey, because organizations need to do a “mind-shift” from traditional records and information management (RIM) practices to content services (CS). Initiatives for scanning and digitizing physical content started in the late 1980s.
AIIM
OCTOBER 29, 2019
We argued in the AIIM 2019 State of the Industry – Content Services that “[information management] is better sold indirectly – as a byproduct of automation and customer experience – than head-on.”. Metadata Capture and Remediation: Again, users are the problem with metadata more than the solution.
AIIM
MARCH 19, 2019
Knowledge and documentation metadata? [FREE Webinar: Learn more from this Case Study on Leveraging Data to Transform Customer Experience]. Is your data an asset? Ask yourself these seven question to find out. Does your data have: Clear ownership and accountability? Clear understanding of usage and value? Data architects and engineers?
Everteam
MAY 29, 2019
Everteam.iFile provides access to content from multiple data repositories as well as a simple and rich functionality combining Intelligent Document Management, Intelligent Workflow Automation, Intelligent Metadata Management and Extraction, Intelligent Processing and Classification of business critical-documents through discovery and auto-tagging.
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