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MS Teams Information Governance - A Checklist for Success

AIIM

Make the most of metadata by utilizing systems that help automate how metadata is applied while retaining unstructured data in place. Put more intelligence into governance either by auto-tagging and categorizing content to kick off a retention workflow or by proactively managing the archival of business content and disposal of ROT.

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Information Governance Innovations in 2019

Everteam

The intersection of Structured and Unstructured Data. Today there is a clear separation on how you manage structured data (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.). Data on legal hold = <1%. Record-worthy data = <2%.

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Integrating Structured and Unstructured Data; Are we there already?

Everteam

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

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Tech Tuesday: Getting Started with Classification

Everteam

Separate the good information from the ROT. There are many examples of the benefits of classification, but I’ll provide two: The first is responding to data subject requests from privacy regulations like upcoming CCPA or GDPR. A good example here is identifying and dealing with ROT. Respond quicker to requests for information.

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Common Problems with Content Migrations

AIIM

Data Quality Issues. Any migration involving unstructured data, that is, individual files, is bound to run into issues migrating certain file formats. AIIM's training groups these into the following areas: File Format Issues. System Dependencies. Process Issues. Now let's look at each of these in a bit more detail.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Auto-classification can leverage AI using RPA and ML / MT to analyze the digital content and categorize it, including redundant, obsolete, and temporary (ROT) [4] content. Much of the content will never be accessed, yet the cost to manage ROT content will continue to increase. Figure 1: Auto-classification and AI.